{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# System-Level Simulations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook demonstrates how to perform system-level simulations with Sionna \n", "by integrating key functionalities from the SYS and PHY modules, including: \n", "- Base station placement on a a hexagonal spiral grid\n", "- User drop within each sector\n", "- 3GPP-compliant channel generation\n", "- Proportional fair scheduler\n", "- Power control\n", "- Link adaptation for adaptive modulation and coding scheme (MCS) selection\n", "- Post-equalization signal-to-interference-plus-noise (SINR) computation\n", "- Physical layer abstraction\n", "\n", "Below is the diagram flow underlying the system-level simulator we will\n", "build in this notebook.\n", "\n", "This is an advanced notebook. We recommend first exploring the tutorials on \n", "[physical layer abstraction](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/PHY_Abstraction.html), [link\n", "adaptation](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/LinkAdaptation.html), and [scheduling](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/Scheduling.html)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ 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)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Imports\n", "\n", "We start by importing Sionna and the relevant external libraries:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:22.058825Z", "iopub.status.busy": "2026-02-13T13:54:22.058662Z", "iopub.status.idle": "2026-02-13T13:54:24.884152Z", "shell.execute_reply": "2026-02-13T13:54:24.883032Z" } }, "outputs": [], "source": [ "# Import Sionna\n", "try:\n", " import sionna.sys\n", "except ImportError as e:\n", " import sys\n", " import os\n", " if 'google.colab' in sys.modules:\n", " # Install Sionna in Google Colab\n", " print(\"Installing Sionna and restarting the runtime. Please run the cell again.\")\n", " os.system(\"pip install sionna\")\n", " os.kill(os.getpid(), 5)\n", " else:\n", " raise e\n", "\n", "import torch" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:24.887154Z", "iopub.status.busy": "2026-02-13T13:54:24.886864Z", "iopub.status.idle": "2026-02-13T13:54:24.892044Z", "shell.execute_reply": "2026-02-13T13:54:24.891155Z" } }, "outputs": [], "source": [ "# Additional external libraries\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "# Sionna components\n", "from sionna.sys.utils import spread_across_subcarriers\n", "from sionna.sys import PHYAbstraction, \\\n", " OuterLoopLinkAdaptation, gen_hexgrid_topology, \\\n", " get_pathloss, open_loop_uplink_power_control, downlink_fair_power_control, \\\n", " get_num_hex_in_grid, PFSchedulerSUMIMO\n", "from sionna.phy.constants import BOLTZMANN_CONSTANT\n", "from sionna.phy.utils import db_to_lin, dbm_to_watt, insert_dims\n", "from sionna.phy import config, dtypes, Block\n", "from sionna.phy.channel.tr38901 import UMi, UMa, RMa, PanelArray\n", "from sionna.phy.channel import GenerateOFDMChannel\n", "from sionna.phy.mimo import StreamManagement\n", "from sionna.phy.ofdm import ResourceGrid, RZFPrecodedChannel, EyePrecodedChannel, \\\n", " LMMSEPostEqualizationSINR\n", "\n", "# Set random seed for reproducibility\n", "sionna.phy.config.seed = 42\n", "\n", "# Also set PyTorch and NumPy seeds for full reproducibility\n", "torch.manual_seed(42)\n", "np.random.seed(42)\n", "\n", "# Internal computational precision\n", "sionna.phy.config.precision = 'single' # 'single' or 'double'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Utils\n", "\n", "We will now define several auxiliary functions that are used in this notebook, including:\n", "- Channel matrix evolution;\n", "- User stream management;\n", "- Signal-to-interference-plus-noise-ratio (SINR) computation;\n", "- Achievable rate estimation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Channel matrix generation\n", "\n", "We assume that channel matrix coefficients are regenerated from a specified 3GPP\n", "model every `coherence_time` slots, following a typical block fading model.\n", "For simplicity, we emulate the impact of fast fading by multiplying the channel\n", "matrix by a factor that follows an autoregressive process evolving at each slot.\n", "\n", "More realistic simulations would include channel evolution based on user\n", "mobility in a ray-traced enviroment, as for example shown in\n", "the notebook [Sionna SYS meets Sionna RT](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/SYS_Meets_RT.html)." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:24.894074Z", "iopub.status.busy": "2026-02-13T13:54:24.893952Z", "iopub.status.idle": "2026-02-13T13:54:24.899675Z", "shell.execute_reply": "2026-02-13T13:54:24.898797Z" } }, "outputs": [], "source": [ "class ChannelMatrix(Block):\n", " def __init__(self,\n", " resource_grid,\n", " batch_size,\n", " num_rx,\n", " num_tx,\n", " coherence_time,\n", " precision=None,\n", " device=None):\n", " super().__init__(precision=precision, device=device)\n", " self.resource_grid = resource_grid\n", " self.coherence_time = coherence_time\n", " self.batch_size = batch_size\n", " self.num_rx = num_rx\n", " self.num_tx = num_tx\n", " self._init_fading()\n", "\n", " def _init_fading(self):\n", " \"\"\"Initialize/reset fading state tensors.\"\"\"\n", " # Use register_buffer for torch.compile compatibility\n", " if not hasattr(self, '_rho_fading_initialized'):\n", " self.register_buffer(\n", " 'rho_fading',\n", " torch.empty([self.batch_size, self.num_rx, self.num_tx],\n", " dtype=self.dtype, device=self.device).uniform_(0.95, 0.99),\n", " persistent=False\n", " )\n", " self.register_buffer(\n", " 'fading',\n", " torch.ones([self.batch_size, self.num_rx, self.num_tx],\n", " dtype=self.dtype, device=self.device),\n", " persistent=False\n", " )\n", " self._rho_fading_initialized = True\n", " else:\n", " # Reset fading to ones\n", " self.fading.fill_(1.0)\n", "\n", " def reset(self):\n", " \"\"\"Reset the fading state for a new simulation.\"\"\"\n", " self._init_fading()\n", "\n", " def __call__(self, channel_model):\n", " \"\"\"Override __call__ to avoid converting channel_model to tensor.\"\"\"\n", " return self.call(channel_model)\n", "\n", " def call(self, channel_model):\n", " \"\"\"Generate OFDM channel matrix.\"\"\"\n", " ofdm_channel = GenerateOFDMChannel(channel_model, self.resource_grid)\n", " h_freq = ofdm_channel(self.batch_size)\n", " return h_freq\n", "\n", " def update(self, channel_model, h_freq, slot):\n", " \"\"\"Update channel matrix every coherence_time slots.\"\"\"\n", " h_freq_new = self.call(channel_model)\n", " change = ((slot % self.coherence_time) == 0)\n", " if change:\n", " h_freq = h_freq_new\n", " return h_freq\n", "\n", " def apply_fading(self, h_freq):\n", " \"\"\"Apply fading, modeled as an autoregressive process, to channel matrix.\"\"\"\n", " noise = torch.empty_like(self.fading).uniform_(-0.1, 0.1)\n", " new_fading = 1.0 - self.rho_fading + self.rho_fading * self.fading + noise\n", " new_fading = torch.clamp(new_fading, min=1e-6) # Prevent exactly zero fading\n", " self.fading.copy_(new_fading)\n", " \n", " fading_expand = insert_dims(self.fading, 1, axis=2)\n", " fading_expand = insert_dims(fading_expand, 3, axis=4)\n", " h_freq_fading = torch.sqrt(fading_expand).to(self.cdtype) * h_freq\n", " return h_freq_fading\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### User stream management\n", "\n", "The\n", "[StreamManagement](https://nvlabs.github.io/sionna/phy/api/mimo/stream_management.html)\n", "class configures which base station serves which user. \n", "We assume here for\n", "simplicity that each receiver is associated with the nearest base station." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:24.901644Z", "iopub.status.busy": "2026-02-13T13:54:24.901523Z", "iopub.status.idle": "2026-02-13T13:54:24.905518Z", "shell.execute_reply": "2026-02-13T13:54:24.904523Z" } }, "outputs": [], "source": [ "def get_stream_management(direction,\n", " num_rx,\n", " num_tx,\n", " num_streams_per_ut,\n", " num_ut_per_sector):\n", " \"\"\"\n", " Instantiate a StreamManagement object.\n", " It determines which data streams are intended for each receiver\n", " \"\"\"\n", " if direction == 'downlink':\n", " num_streams_per_tx = num_streams_per_ut * num_ut_per_sector\n", " # RX-TX association matrix\n", " rx_tx_association = np.zeros([num_rx, num_tx])\n", " idx = np.array([[i1, i2] for i2 in range(num_tx) for i1 in\n", " np.arange(i2*num_ut_per_sector,\n", " (i2+1)*num_ut_per_sector)])\n", " rx_tx_association[idx[:, 0], idx[:, 1]] = 1\n", "\n", " else:\n", " num_streams_per_tx = num_streams_per_ut\n", " # RX-TX association matrix\n", " rx_tx_association = np.zeros([num_rx, num_tx])\n", " idx = np.array([[i1, i2] for i1 in range(num_rx) for i2 in\n", " np.arange(i1*num_ut_per_sector,\n", " (i1+1)*num_ut_per_sector)])\n", " rx_tx_association[idx[:, 0], idx[:, 1]] = 1\n", "\n", " stream_management = StreamManagement(\n", " rx_tx_association, num_streams_per_tx)\n", " return stream_management" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### SINR computation\n", "\n", "Computing the signal-to-noise-plus-interference-ratio (SINR) is\n", "the first step to determine the block error rate (BLER) and, eventually, the user\n", "throughput, via the physical layer abstraction." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:24.907359Z", "iopub.status.busy": "2026-02-13T13:54:24.907238Z", "iopub.status.idle": "2026-02-13T13:54:24.911471Z", "shell.execute_reply": "2026-02-13T13:54:24.910661Z" } }, "outputs": [], "source": [ "def get_sinr(tx_power,\n", " stream_management,\n", " no,\n", " direction,\n", " h_freq_fading,\n", " num_bs,\n", " num_ut_per_sector,\n", " num_streams_per_ut,\n", " resource_grid):\n", " \"\"\" Compute post-equalization SINR. It is assumed:\n", " - DL: Regularized zero-forcing precoding\n", " - UL: No precoding, only power allocation\n", " LMMSE equalizer is used in both DL and UL.\n", " \"\"\"\n", " # tx_power: [batch_size, num_bs, num_tx_per_sector,\n", " # num_streams_per_tx, num_ofdm_sym, num_subcarriers]\n", " # Flatten across sectors\n", " # [batch_size, num_tx, num_streams_per_tx, num_ofdm_symbols, num_subcarriers]\n", " s = tx_power.shape\n", " tx_power = torch.reshape(tx_power, [s[0], s[1]*s[2]] + list(s[3:]))\n", "\n", " # Compute SINR\n", " # [batch_size, num_ofdm_sym, num_subcarriers, num_ut,\n", " # num_streams_per_ut]\n", " if direction == 'downlink':\n", " # Regularized zero-forcing precoding in the DL\n", " precoded_channel = RZFPrecodedChannel(resource_grid=resource_grid,\n", " stream_management=stream_management)\n", " h_eff = precoded_channel(h_freq_fading,\n", " tx_power=tx_power,\n", " alpha=no) # Regularizer\n", " else:\n", " # No precoding in the UL: just power allocation\n", " precoded_channel = EyePrecodedChannel(resource_grid=resource_grid,\n", " stream_management=stream_management)\n", " h_eff = precoded_channel(h_freq_fading,\n", " tx_power=tx_power)\n", "\n", " # LMMSE equalizer\n", " lmmse_posteq_sinr = LMMSEPostEqualizationSINR(resource_grid=resource_grid,\n", " stream_management=stream_management)\n", " # Post-equalization SINR\n", " # [batch_size, num_ofdm_symbols, num_subcarriers, num_rx, num_streams_per_rx]\n", " sinr = lmmse_posteq_sinr(h_eff, no=no, interference_whitening=True)\n", "\n", " # [batch_size, num_ofdm_symbols, num_subcarriers, num_ut, num_streams_per_ut]\n", " sinr = torch.reshape(\n", " sinr, list(sinr.shape[:-2]) + [num_bs*num_ut_per_sector, num_streams_per_ut])\n", "\n", " # Regroup by sector\n", " # [batch_size, num_ofdm_symbols, num_subcarriers, num_bs, num_ut_per_sector, num_streams_per_ut]\n", " sinr = torch.reshape(\n", " sinr, list(sinr.shape[:-2]) + [num_bs, num_ut_per_sector, num_streams_per_ut])\n", "\n", " # [batch_size, num_bs, num_ofdm_sym, num_subcarriers, num_ut_per_sector, num_streams_per_ut]\n", " sinr = torch.permute(sinr, [0, 3, 1, 2, 4, 5])\n", " return sinr" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Estimation of Achievable Rate\n", "\n", "To fairly allocate users to the appropriate time and frequency resources, the\n", "proportional fairness (PF) scheduler must first estimate the *achievable* rate for\n", "each user.\n", "\n", "Users are then ranked based on the ratio of their achievable rate to\n", "their *achieved* rate, called PF metric. \n", "\n", "Here, we assume that the achievable rate is estimated using the Shannon capacity\n", "based on the effective SINR. \n", "The rate estimation is thus uniform across subcarriers, resulting in only one\n", "user being scheduled per slot." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:24.913293Z", "iopub.status.busy": "2026-02-13T13:54:24.913176Z", "iopub.status.idle": "2026-02-13T13:54:24.916151Z", "shell.execute_reply": "2026-02-13T13:54:24.915365Z" } }, "outputs": [], "source": [ "def estimate_achievable_rate(sinr_eff_db_last,\n", " num_ofdm_sym,\n", " num_subcarriers):\n", " \"\"\" Estimate achievable rate \"\"\"\n", " # [batch_size, num_bs, num_ut_per_sector]\n", " rate_achievable_est = torch.log2(torch.tensor(1.0, dtype=sinr_eff_db_last.dtype) +\n", " db_to_lin(sinr_eff_db_last))\n", "\n", " # Broadcast to time/frequency grid\n", " # [batch_size, num_bs, num_ofdm_sym, num_subcarriers, num_ut_per_sector]\n", " rate_achievable_est = insert_dims(\n", " rate_achievable_est, 2, axis=-2)\n", " rate_achievable_est = torch.tile(rate_achievable_est,\n", " [1, 1, num_ofdm_sym, num_subcarriers, 1])\n", " return rate_achievable_est" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Result recording\n", "\n", "We record the relevant metrics in a dictionary for further analysis, including:\n", "- Number of decoded bits;\n", "- HARQ feedback;\n", "- MCS index;\n", "- Effective SINR;\n", "- Pathloss of serving cell;\n", "- Number of allocated REs;\n", "- Proportional fairness (PF) metric;\n", "- Transmit power;\n", "- Outer-loop link adaptation (OLLA) offset.\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:24.918037Z", "iopub.status.busy": "2026-02-13T13:54:24.917919Z", "iopub.status.idle": "2026-02-13T13:54:24.925158Z", "shell.execute_reply": "2026-02-13T13:54:24.924322Z" } }, "outputs": [], "source": [ "class TensorList:\n", " \"\"\"A simple TensorArray-like class for accumulating tensors.\n", " \n", " Pre-allocates storage to avoid dynamic list operations that\n", " cause recompilation in torch.compile.\n", " \"\"\"\n", " def __init__(self, size, element_shape, dtype=torch.float32, device=None):\n", " self.size = size\n", " self.element_shape = element_shape\n", " self.dtype = dtype\n", " # Pre-allocate tensor storage to avoid dynamic list growth\n", " # which causes recompilation in torch.compile\n", " self.data = torch.zeros([size] + list(element_shape), dtype=dtype, device=device)\n", " \n", " def write(self, index, value):\n", " \"\"\"Write a value at the given index using tensor indexing.\"\"\"\n", " # Direct tensor indexing - no dynamic Python operations\n", " self.data[index] = value\n", " return self\n", " \n", " def stack(self):\n", " \"\"\"Return the pre-allocated tensor.\"\"\"\n", " return self.data\n", "\n", "\n", "def init_result_history(batch_size,\n", " num_slots,\n", " num_bs,\n", " num_ut_per_sector,\n", " device=None):\n", " \"\"\" Initialize dictionary containing history of results \"\"\"\n", " hist = {}\n", " for key in ['pathloss_serving_cell',\n", " 'tx_power', 'olla_offset',\n", " 'sinr_eff', 'pf_metric',\n", " 'num_decoded_bits', 'mcs_index',\n", " 'harq', 'num_allocated_re']:\n", " hist[key] = TensorList(\n", " size=num_slots,\n", " element_shape=[batch_size,\n", " num_bs,\n", " num_ut_per_sector],\n", " dtype=torch.float32,\n", " device=device)\n", " return hist\n", "\n", "\n", "def record_results(hist,\n", " slot,\n", " sim_failed=False,\n", " pathloss_serving_cell=None,\n", " num_allocated_re=None,\n", " tx_power_per_ut=None,\n", " num_decoded_bits=None,\n", " mcs_index=None,\n", " harq_feedback=None,\n", " olla_offset=None,\n", " sinr_eff=None,\n", " pf_metric=None,\n", " shape=None):\n", " \"\"\" Record results of last slot \"\"\"\n", " if not sim_failed:\n", " for key, value in zip(['pathloss_serving_cell', 'olla_offset', 'sinr_eff',\n", " 'num_allocated_re', 'tx_power', 'num_decoded_bits',\n", " 'mcs_index', 'harq'],\n", " [pathloss_serving_cell, olla_offset, sinr_eff,\n", " num_allocated_re, tx_power_per_ut, num_decoded_bits,\n", " mcs_index, harq_feedback]):\n", " hist[key] = hist[key].write(slot, value.float())\n", " # Average PF metric across resources\n", " hist['pf_metric'] = hist['pf_metric'].write(\n", " slot, torch.mean(pf_metric, dim=[-2, -3]))\n", " else:\n", " nan_tensor = torch.full(shape, float('nan'), dtype=torch.float32)\n", " for key in hist:\n", " hist[key] = hist[key].write(slot, nan_tensor)\n", " return hist\n", "\n", "\n", "def clean_hist(hist, batch=0):\n", " \"\"\" Extract batch, convert to Numpy, and mask metrics when user is not\n", " scheduled \"\"\"\n", " # Extract batch and convert to Numpy\n", " for key in hist:\n", " if isinstance(hist[key], TensorList):\n", " # Stack and convert to numpy\n", " tensor = hist[key].stack()\n", " if hasattr(tensor, 'cpu'):\n", " tensor = tensor.cpu()\n", " # [num_slots, num_bs, num_ut_per_sector]\n", " hist[key] = tensor.numpy()[:, batch, :, :]\n", " elif isinstance(hist[key], torch.Tensor):\n", " if hasattr(hist[key], 'cpu'):\n", " hist[key] = hist[key].cpu()\n", " hist[key] = hist[key].numpy()[:, batch, :, :]\n", "\n", " # Mask metrics when user is not scheduled\n", " hist['mcs_index'] = np.where(\n", " hist['harq'] == -1, np.nan, hist['mcs_index'])\n", " hist['sinr_eff'] = np.where(\n", " hist['harq'] == -1, np.nan, hist['sinr_eff'])\n", " hist['tx_power'] = np.where(\n", " hist['harq'] == -1, np.nan, hist['tx_power'])\n", " hist['num_allocated_re'] = np.where(\n", " hist['harq'] == -1, 0, hist['num_allocated_re'])\n", " hist['harq'] = np.where(\n", " hist['harq'] == -1, np.nan, hist['harq'])\n", " return hist" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulation\n", "\n", "We now put everything together and create a system-level simulator Sionna block.\n", "We will then demonstrate how to instantiate it and run simulations. \n", "\n", "### Sionna block\n", "\n", "We next define a compound Sionna block called `SystemLevelSimulator` composed of multiple submodules. \n", "It is structured as follows:\n", "- `__init__` method, which initializes the main modules, including:\n", " - 3GPP channel model;\n", " - Multicell topology and user drop\n", " - Stream management;\n", " - Physical layer abstraction;\n", " - Scheduler;\n", " - Link adaptation;\n", " - Channel matrix (moved here for `torch.compile` compatibility)\n", "- `call` method, which loops over slots and performs:\n", " - Channel generation;\n", " - Channel estimation, assumed ideal;\n", " - User scheduling;\n", " - Power control;\n", " - Per-stream SINR computation;\n", " - Physical layer abstraction;\n", " - User mobility.\n", "\n", "The `call` method is decorated with `@torch.compile` for optimized performance. The code has been structured to be compilation-friendly by:\n", "- Moving object creation to `__init__`\n", "- Using registered buffers with in-place updates for stateful modules\n", "- Pre-computing values that would cause graph breaks\n", "- Ensuring all tensors are created on the correct device\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:24.927295Z", "iopub.status.busy": "2026-02-13T13:54:24.927176Z", "iopub.status.idle": "2026-02-13T13:54:25.318003Z", "shell.execute_reply": "2026-02-13T13:54:25.316990Z" } }, "outputs": [], "source": [ "class SystemLevelSimulator(Block):\n", " def __init__(self,\n", " batch_size,\n", " num_rings,\n", " num_ut_per_sector,\n", " carrier_frequency,\n", " resource_grid,\n", " scenario,\n", " direction,\n", " ut_array,\n", " bs_array,\n", " bs_max_power_dbm,\n", " ut_max_power_dbm,\n", " coherence_time,\n", " pf_beta=0.98,\n", " max_bs_ut_dist=None,\n", " min_bs_ut_dist=None,\n", " temperature=294,\n", " o2i_model='low',\n", " average_street_width=20.0,\n", " average_building_height=5.0,\n", " precision=None):\n", " super().__init__(precision=precision)\n", "\n", " assert scenario in ['umi', 'uma', 'rma']\n", " assert direction in ['uplink', 'downlink']\n", " self.scenario = scenario\n", " self.batch_size = int(batch_size)\n", " self.resource_grid = resource_grid\n", " self.num_ut_per_sector = int(num_ut_per_sector)\n", " self.direction = direction\n", " self.bs_max_power_dbm = bs_max_power_dbm\n", " self.ut_max_power_dbm = ut_max_power_dbm\n", " self.coherence_time = int(coherence_time)\n", " num_cells = get_num_hex_in_grid(num_rings)\n", " self.num_bs = num_cells * 3\n", " self.num_ut = self.num_bs * self.num_ut_per_sector\n", " self.num_ut_ant = ut_array.num_ant\n", " self.num_bs_ant = bs_array.num_ant\n", " if bs_array.polarization == 'dual':\n", " self.num_bs_ant *= 2\n", " if self.direction == 'uplink':\n", " self.num_tx, self.num_rx = self.num_ut, self.num_bs\n", " self.num_tx_ant, self.num_rx_ant = self.num_ut_ant, self.num_bs_ant\n", " self.num_tx_per_sector = self.num_ut_per_sector\n", " else:\n", " self.num_tx, self.num_rx = self.num_bs, self.num_ut\n", " self.num_tx_ant, self.num_rx_ant = self.num_bs_ant, self.num_ut_ant\n", " self.num_tx_per_sector = 1\n", "\n", " self.num_streams_per_ut = resource_grid.num_streams_per_tx\n", " \n", " # Pre-compute for torch.compile compatibility\n", " self._mcs_category = 1 if direction == 'downlink' else 0\n", "\n", " self.stream_management = get_stream_management(direction,\n", " self.num_rx,\n", " self.num_tx,\n", " self.num_streams_per_ut,\n", " num_ut_per_sector)\n", " self.no = torch.tensor(BOLTZMANN_CONSTANT * temperature *\n", " resource_grid.subcarrier_spacing,\n", " dtype=self.dtype, device=self.device)\n", "\n", " self.slot_duration = resource_grid.ofdm_symbol_duration * \\\n", " resource_grid.num_ofdm_symbols\n", "\n", " self._setup_channel_model(\n", " scenario, carrier_frequency, o2i_model, ut_array, bs_array,\n", " average_street_width, average_building_height)\n", "\n", " self._setup_topology(num_rings, min_bs_ut_dist, max_bs_ut_dist)\n", "\n", " self.phy_abs = PHYAbstraction(precision=self.precision, device=self.device)\n", "\n", " self.olla = OuterLoopLinkAdaptation(\n", " self.phy_abs,\n", " self.num_ut_per_sector,\n", " batch_size=[self.batch_size, self.num_bs],\n", " precision=self.precision,\n", " device=self.device)\n", "\n", " self.scheduler = PFSchedulerSUMIMO(\n", " self.num_ut_per_sector,\n", " resource_grid.fft_size,\n", " resource_grid.num_ofdm_symbols,\n", " batch_size=[self.batch_size, self.num_bs],\n", " num_streams_per_ut=self.num_streams_per_ut,\n", " beta=pf_beta,\n", " precision=self.precision,\n", " device=self.device)\n", "\n", " # Create ChannelMatrix in __init__ for torch.compile compatibility\n", " self.channel_matrix = ChannelMatrix(\n", " self.resource_grid,\n", " self.batch_size,\n", " self.num_rx,\n", " self.num_tx,\n", " self.coherence_time,\n", " precision=self.precision,\n", " device=self.device)\n", " \n", " # Pre-allocate rx_tx_association tensor\n", " self._rx_tx_association = torch.tensor(\n", " self.stream_management.rx_tx_association,\n", " device=self.device)\n", "\n", " def _setup_channel_model(self, scenario, carrier_frequency, o2i_model,\n", " ut_array, bs_array, average_street_width,\n", " average_building_height):\n", " common_params = {\n", " 'carrier_frequency': carrier_frequency,\n", " 'ut_array': ut_array,\n", " 'bs_array': bs_array,\n", " 'direction': self.direction,\n", " 'enable_pathloss': True,\n", " 'enable_shadow_fading': True,\n", " 'precision': self.precision\n", " }\n", "\n", " if scenario == 'umi':\n", " self.channel_model = UMi(o2i_model=o2i_model, **common_params)\n", " elif scenario == 'uma':\n", " self.channel_model = UMa(o2i_model=o2i_model, **common_params)\n", " elif scenario == 'rma':\n", " self.channel_model = RMa(\n", " average_street_width=average_street_width,\n", " average_building_height=average_building_height,\n", " **common_params)\n", "\n", " def _setup_topology(self, num_rings, min_bs_ut_dist, max_bs_ut_dist):\n", " self.ut_loc, self.bs_loc, self.ut_orientations, self.bs_orientations, \\\n", " self.ut_velocities, self.in_state, self.los, self.bs_virtual_loc, self.grid = \\\n", " gen_hexgrid_topology(\n", " batch_size=self.batch_size,\n", " num_rings=num_rings,\n", " num_ut_per_sector=self.num_ut_per_sector,\n", " min_bs_ut_dist=min_bs_ut_dist,\n", " max_bs_ut_dist=max_bs_ut_dist,\n", " scenario=self.scenario,\n", " los=True,\n", " return_grid=True,\n", " precision=self.precision)\n", "\n", " self.channel_model.set_topology(\n", " self.ut_loc, self.bs_loc, self.ut_orientations,\n", " self.bs_orientations, self.ut_velocities,\n", " self.in_state, self.los, self.bs_virtual_loc)\n", "\n", " def _reset_olla(self, bler_target, olla_delta_up):\n", " \"\"\"Reset OLLA parameters - must be called OUTSIDE compiled code.\"\"\"\n", " self.olla.reset()\n", " self.olla.bler_target = bler_target\n", " self.olla.delta_up = olla_delta_up\n", "\n", " def _init_feedback_tensors(self):\n", " \"\"\"Initialize feedback tensors - can be called inside compiled code.\"\"\"\n", " self.channel_matrix.reset()\n", "\n", " last_harq_feedback = -torch.ones(\n", " [self.batch_size, self.num_bs, self.num_ut_per_sector],\n", " dtype=torch.int32, device=self.device)\n", "\n", " sinr_eff_feedback = torch.ones(\n", " [self.batch_size, self.num_bs, self.num_ut_per_sector],\n", " dtype=self.dtype, device=self.device)\n", "\n", " num_decoded_bits = torch.zeros(\n", " [self.batch_size, self.num_bs, self.num_ut_per_sector],\n", " dtype=torch.int32, device=self.device)\n", " return last_harq_feedback, sinr_eff_feedback, num_decoded_bits\n", "\n", " def _group_by_sector(self, tensor):\n", " tensor = torch.reshape(tensor, [self.batch_size,\n", " self.num_bs,\n", " self.num_ut_per_sector,\n", " self.resource_grid.num_ofdm_symbols])\n", " return torch.permute(tensor, [0, 1, 3, 2])\n", "\n", " def call(self,\n", " num_slots,\n", " alpha_ul,\n", " p0_dbm_ul,\n", " bler_target,\n", " olla_delta_up,\n", " mcs_table_index=1,\n", " fairness_dl=0,\n", " guaranteed_power_ratio_dl=0.5):\n", " \"\"\"Main entry point - resets OLLA then runs compiled simulation.\"\"\"\n", " # Reset OLLA parameters OUTSIDE compiled code to avoid graph breaks\n", " self._reset_olla(bler_target, olla_delta_up)\n", " # Run compiled simulation\n", " return self._run_simulation(num_slots, alpha_ul, p0_dbm_ul,\n", " mcs_table_index, fairness_dl,\n", " guaranteed_power_ratio_dl)\n", "\n", " @torch.compile\n", " def _run_simulation(self,\n", " num_slots,\n", " alpha_ul,\n", " p0_dbm_ul,\n", " mcs_table_index=1,\n", " fairness_dl=0,\n", " guaranteed_power_ratio_dl=0.5):\n", " \"\"\"Compiled simulation loop.\"\"\"\n", " # Initialize result history\n", " hist = init_result_history(self.batch_size,\n", " num_slots,\n", " self.num_bs,\n", " self.num_ut_per_sector,\n", " device=self.device)\n", "\n", " # Initialize feedback tensors\n", " harq_feedback, sinr_eff_feedback, num_decoded_bits = \\\n", " self._init_feedback_tensors()\n", "\n", " # Generate initial channel\n", " h_freq = self.channel_matrix(self.channel_model)\n", "\n", " # Simulation loop\n", " for slot in range(num_slots):\n", " # Channel update\n", " h_freq = self.channel_matrix.update(self.channel_model, h_freq, slot)\n", " h_freq_fading = self.channel_matrix.apply_fading(h_freq)\n", "\n", " # Scheduler\n", " rate_achievable_est = estimate_achievable_rate(\n", " self.olla.sinr_eff_db_last,\n", " self.resource_grid.num_ofdm_symbols,\n", " self.resource_grid.fft_size)\n", "\n", " is_scheduled = self.scheduler(num_decoded_bits, rate_achievable_est)\n", "\n", " num_allocated_sc = torch.minimum(\n", " torch.sum(is_scheduled.int(), dim=-1),\n", " torch.ones(1, dtype=torch.int32, device=self.device))\n", " num_allocated_sc = torch.sum(num_allocated_sc, dim=-2)\n", " num_allocated_re = torch.sum(is_scheduled.int(), dim=[-1, -3, -4])\n", "\n", " # Power control\n", " pathloss_all_pairs, pathloss_serving_cell = get_pathloss(\n", " h_freq_fading, rx_tx_association=self._rx_tx_association)\n", " pathloss_serving_cell = self._group_by_sector(pathloss_serving_cell)\n", "\n", " if self.direction == 'uplink':\n", " tx_power_per_ut = open_loop_uplink_power_control(\n", " pathloss_serving_cell,\n", " num_allocated_sc,\n", " alpha=alpha_ul,\n", " p0_dbm=p0_dbm_ul,\n", " ut_max_power_dbm=self.ut_max_power_dbm)\n", " else:\n", " one = torch.ones(1, dtype=pathloss_serving_cell.dtype, device=self.device)\n", " rx_power_tot = torch.sum(one / pathloss_all_pairs, dim=-2)\n", " rx_power_tot = self._group_by_sector(rx_power_tot)\n", " interference_dl = rx_power_tot - one / pathloss_serving_cell\n", " interference_dl = interference_dl * dbm_to_watt(self.bs_max_power_dbm)\n", "\n", " tx_power_per_ut, _ = downlink_fair_power_control(\n", " pathloss_serving_cell,\n", " interference_dl + self.no,\n", " num_allocated_sc,\n", " bs_max_power_dbm=self.bs_max_power_dbm,\n", " guaranteed_power_ratio=guaranteed_power_ratio_dl,\n", " fairness=fairness_dl,\n", " precision=self.precision)\n", "\n", " tx_power = spread_across_subcarriers(\n", " tx_power_per_ut,\n", " is_scheduled,\n", " num_tx=self.num_tx_per_sector,\n", " precision=self.precision)\n", "\n", " # Per-stream SINR\n", " sinr = get_sinr(tx_power,\n", " self.stream_management,\n", " self.no,\n", " self.direction,\n", " h_freq_fading,\n", " self.num_bs,\n", " self.num_ut_per_sector,\n", " self.num_streams_per_ut,\n", " self.resource_grid)\n", "\n", " # Link adaptation\n", " mcs_index = self.olla(num_allocated_re,\n", " harq_feedback=harq_feedback,\n", " sinr_eff=sinr_eff_feedback)\n", "\n", " # PHY abstraction\n", " num_decoded_bits, harq_feedback, sinr_eff, _, _ = self.phy_abs(\n", " mcs_index,\n", " sinr=sinr,\n", " mcs_table_index=mcs_table_index,\n", " mcs_category=self._mcs_category)\n", "\n", " # SINR feedback\n", " sinr_eff_feedback = torch.where(\n", " num_allocated_re > 0,\n", " sinr_eff,\n", " torch.zeros(1, dtype=self.dtype, device=self.device))\n", "\n", " # Record results\n", " hist = record_results(hist,\n", " slot,\n", " sim_failed=False,\n", " pathloss_serving_cell=torch.sum(pathloss_serving_cell, dim=-2),\n", " num_allocated_re=num_allocated_re,\n", " tx_power_per_ut=torch.sum(tx_power_per_ut, dim=-2),\n", " num_decoded_bits=num_decoded_bits,\n", " mcs_index=mcs_index,\n", " harq_feedback=harq_feedback,\n", " olla_offset=self.olla.offset,\n", " sinr_eff=sinr_eff,\n", " pf_metric=self.scheduler.pf_metric)\n", "\n", " # User mobility\n", " self.ut_loc = self.ut_loc + self.ut_velocities * self.slot_duration\n", " self.channel_model.set_topology(\n", " self.ut_loc, self.bs_loc, self.ut_orientations,\n", " self.bs_orientations, self.ut_velocities,\n", " self.in_state, self.los, self.bs_virtual_loc)\n", "\n", " for key in hist:\n", " hist[key] = hist[key].stack()\n", " return hist\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Scenario parameters\n", "\n", "To initialize the system-level simulator, we must define the following parameters:\n", "- 3GPP desidered scenario and the multicell grid;\n", "- Communication direction (downlink or uplink);\n", "- OFDM resource grid configuration;\n", "- Modulation and coding scheme table;\n", "- Transmit power for the base stations and user terminals;\n", "- Antenna arrays at the base stations and user terminals.\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:25.320296Z", "iopub.status.busy": "2026-02-13T13:54:25.320010Z", "iopub.status.idle": "2026-02-13T13:54:25.323562Z", "shell.execute_reply": "2026-02-13T13:54:25.322657Z" } }, "outputs": [], "source": [ "# Communication direction\n", "direction = 'downlink' # 'uplink' or 'downlink'\n", "\n", "# 3GPP scenario parameters\n", "scenario = 'umi' # 'umi', 'uma' or 'rma'\n", "\n", "# Number of rings of the hexagonal grid\n", "# With num_rings=1, 7*3=21 base stations are placed\n", "num_rings = 1\n", "\n", "# N. users per sector\n", "num_ut_per_sector = 10\n", "\n", "# Max/min distance between base station and served users\n", "max_bs_ut_dist = 80 # [m]\n", "min_bs_ut_dist = 0 # [m]\n", "\n", "# Carrier frequency\n", "carrier_frequency = 3.5e9 # [Hz]\n", "\n", "# Transmit power for base station and user terminals\n", "bs_max_power_dbm = 56 # [dBm]\n", "ut_max_power_dbm = 26 # [dBm]\n", "\n", "# Channel is regenerated every coherence_time slots\n", "coherence_time = 100 # [slots]\n", "\n", "# MCS table index\n", "# Ranges within [1;4] for downlink and [1;2] for uplink, as in TS 38.214\n", "mcs_table_index = 1\n", "\n", "# Number of examples\n", "batch_size = 1" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:25.325445Z", "iopub.status.busy": "2026-02-13T13:54:25.325318Z", "iopub.status.idle": "2026-02-13T13:54:25.480541Z", "shell.execute_reply": "2026-02-13T13:54:25.479557Z" } }, "outputs": [], "source": [ "# Create the antenna arrays at the base stations\n", "bs_array = PanelArray(num_rows_per_panel=2,\n", " num_cols_per_panel=3,\n", " polarization='dual',\n", " polarization_type='VH',\n", " antenna_pattern='38.901',\n", " carrier_frequency=carrier_frequency)\n", "\n", "# Create the antenna array at the user terminals\n", "ut_array = PanelArray(num_rows_per_panel=1,\n", " num_cols_per_panel=1,\n", " polarization='single',\n", " polarization_type='V',\n", " antenna_pattern='omni',\n", " carrier_frequency=carrier_frequency)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:25.482978Z", "iopub.status.busy": "2026-02-13T13:54:25.482829Z", "iopub.status.idle": "2026-02-13T13:54:25.536293Z", "shell.execute_reply": "2026-02-13T13:54:25.535296Z" } }, "outputs": [], "source": [ "# n. OFDM symbols, i.e., time samples, in a slot\n", "num_ofdm_sym = 1\n", "# N. available subcarriers\n", "num_subcarriers = 128\n", "# Subcarrier spacing, i.e., bandwitdh width of each subcarrier\n", "subcarrier_spacing = 15e3 # [Hz]\n", "\n", "# Create the OFDM resource grid\n", "resource_grid = ResourceGrid(num_ofdm_symbols=num_ofdm_sym,\n", " fft_size=num_subcarriers,\n", " subcarrier_spacing=subcarrier_spacing,\n", " num_tx=num_ut_per_sector,\n", " num_streams_per_tx=ut_array.num_ant)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulator initialization\n", "\n", "We can now initialize the `SystemLevelSimulator` block by providing the\n", "scenario parameters as inputs." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:25.538656Z", "iopub.status.busy": "2026-02-13T13:54:25.538518Z", "iopub.status.idle": "2026-02-13T13:54:26.051909Z", "shell.execute_reply": "2026-02-13T13:54:26.050878Z" } }, "outputs": [], "source": [ "# Initialize SYS object\n", "sls = SystemLevelSimulator(\n", " batch_size,\n", " num_rings,\n", " num_ut_per_sector,\n", " carrier_frequency,\n", " resource_grid,\n", " scenario,\n", " direction,\n", " ut_array,\n", " bs_array,\n", " bs_max_power_dbm,\n", " ut_max_power_dbm,\n", " coherence_time,\n", " max_bs_ut_dist=max_bs_ut_dist,\n", " min_bs_ut_dist=min_bs_ut_dist,\n", " temperature=294, # Environment temperature for noise power computation\n", " o2i_model='low', # 'low' or 'high',\n", " average_street_width=20.,\n", " average_building_height=10.)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We visualize below the multicell topology we just created:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:26.054201Z", "iopub.status.busy": "2026-02-13T13:54:26.054065Z", "iopub.status.idle": "2026-02-13T13:54:26.149693Z", "shell.execute_reply": "2026-02-13T13:54:26.148863Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = sls.grid.show()\n", "ax = fig.get_axes()\n", "# Convert CUDA tensor to numpy for plotting\n", "ut_loc_np = sls.ut_loc.cpu().numpy() if hasattr(sls.ut_loc, 'cpu') else sls.ut_loc\n", "ax[0].plot(ut_loc_np[0, :, 0], ut_loc_np[0, :, 1],\n", " 'xk', label='user position')\n", "ax[0].legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We observe that:\n", "\n", "- The base stations are placed on a hexagonal spiral grid with the defined\n", " number of rings;\n", "- The inter-site distance depends on the chosen 3GPP scenario;\n", "- Users are dropped uniformly at random within each sector, within the maximum\n", " distance from the respective base station. \n", "\n", "**Remark**: Hand-over procedures are **not**\n", "implemented in this notebook; users simply attach to the nearest base station. \n", "As a result, user located near the cell edge may experience high interference. \n", "To mitigate this, the parameter `max_bs_ut_dist` can be adjusted to limit the\n", "maximum distance between a user and its serving base station." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Layer-2 parameters\n", "\n", "Next, we define the parameters associated with the link\n", "adaptation and power control modules, such as:\n", "- BLER target, typically set to 10%;\n", "- `olla_delta_up`, which determines how quickly outer-loop link\n", " adaptation (OLLA) adjusts the MCS index to the varying channel conditions;\n", "- `(alpha_ul,p0_dbm_ul)`, defining the\n", " pathloss compensation factor and the target received power at the base\n", " station, respectively, in open-loop uplink power control;\n", "\n", "as well as the number of slots to simulate." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:26.192177Z", "iopub.status.busy": "2026-02-13T13:54:26.191976Z", "iopub.status.idle": "2026-02-13T13:54:26.195192Z", "shell.execute_reply": "2026-02-13T13:54:26.194336Z" } }, "outputs": [], "source": [ "# N. slots to simulate\n", "num_slots = 1000\n", "\n", "# Link Adaptation\n", "# Note: bler_target and olla_delta_up must be Python floats (not tensors)\n", "# to avoid graph breaks in torch.compile\n", "bler_target = 0.1 # Must be in [0, 1]\n", "olla_delta_up = 0.2\n", "\n", "# Uplink power control parameters\n", "# Pathloss compensation factor\n", "alpha_ul = 1.0 # Must be in [0, 1]\n", "# Target received power at the base station\n", "p0_dbm_ul = -80.0 # [dBm]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulation\n", "\n", "We are now finally ready to run system-level simulations on the defined 3GPP\n", "multicell scenario!" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:54:26.196807Z", "iopub.status.busy": "2026-02-13T13:54:26.196690Z", "iopub.status.idle": "2026-02-13T13:56:29.802351Z", "shell.execute_reply": "2026-02-13T13:56:29.800989Z" } }, "outputs": [], "source": [ "# System-level simulations\n", "hist = sls(num_slots,\n", " alpha_ul,\n", " p0_dbm_ul,\n", " bler_target,\n", " olla_delta_up)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Performance metric analysis\n", "\n", "In this last section, we extract insights from simulations by analyzing the output data\n", "at the user granularity. \n", "\n", "First, we average the relevant metrics across slots:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:56:29.804638Z", "iopub.status.busy": "2026-02-13T13:56:29.804503Z", "iopub.status.idle": "2026-02-13T13:56:29.815831Z", "shell.execute_reply": "2026-02-13T13:56:29.814812Z" } }, "outputs": [], "source": [ "hist = clean_hist(hist)\n", "\n", "# Average across slots and store in dictionary\n", "results_avg = {\n", " 'TBLER': (1 - np.nanmean(hist['harq'], axis=0)).flatten(),\n", " 'MCS': np.nanmean(hist['mcs_index'], axis=0).flatten(),\n", " '# decoded bits / slot': np.nanmean(hist['num_decoded_bits'], axis=0).flatten(),\n", " 'Effective SINR [dB]': 10*np.log10(np.nanmean(hist['sinr_eff'], axis=0).flatten()),\n", " 'OLLA offset': np.nanmean(hist['olla_offset'], axis=0).flatten(),\n", " 'TX power [dBm]': 10*np.log10(np.nanmean(hist['tx_power'], axis=0).flatten()) + 30,\n", " 'Pathloss [dB]': 10*np.log10(np.nanmean(hist['pathloss_serving_cell'], axis=0).flatten()),\n", " '# allocated REs / slot': np.nanmean(hist['num_allocated_re'], axis=0).flatten(),\n", " 'PF metric': np.nanmean(hist['pf_metric'], axis=0).flatten()\n", "}\n", "metrics = list(results_avg.keys())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A bird's eye view\n", "\n", "We now visualize the cumulative density function (CDF) of the selected\n", "metrics, averaged across slots and computed per user, including:\n", "- Transport block error rate (TBLER): Indicates how well link adaptation maintained it near the target value.\n", "- MCS index;\n", "- Number of decoded bits per slot;\n", "- Effective SINR: Measures the channel quality for each user;\n", "- Outer-loop link adaptation (OLLA) offset: Reflects the extent to which OLLA corrected the SINR estimation;\n", "- Transmit power;\n", "- Pathloss from the serving cell;\n", "- Number of allocated resource elements (RE);\n", "- Proportional fairness (PF) metric: A lower value indicates a fairer resource allocation across users.\n" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:56:29.817859Z", "iopub.status.busy": "2026-02-13T13:56:29.817714Z", "iopub.status.idle": "2026-02-13T13:56:30.196716Z", "shell.execute_reply": "2026-02-13T13:56:30.195752Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def get_cdf(values):\n", " \"\"\"\n", " Computes the Cumulative Distribution Function (CDF) of the input\n", " \"\"\"\n", " values = np.array(values).flatten()\n", " n = len(values)\n", " sorted_val = np.sort(values)\n", " cumulative_prob = np.arange(1, n+1) / n\n", " return sorted_val, cumulative_prob\n", "\n", "\n", "fig, axs = plt.subplots(3, 3, figsize=(8, 6.5))\n", "fig.suptitle('Per-user performance metrics', y=.99)\n", "\n", "# Convert bler_target to scalar if it's a tensor\n", "bler_target_val = bler_target.item() if hasattr(bler_target, 'item') else float(bler_target)\n", "\n", "for ii in range(3):\n", " for jj in range(3):\n", " ax = axs[ii, jj]\n", " metric = metrics[3*ii+jj]\n", " ax.plot(*get_cdf(results_avg[metric]))\n", " if metric == 'TBLER':\n", " # Visualize BLER target\n", " ax.plot([bler_target_val]*2, [0, 1], '--k', label='target')\n", " ax.legend()\n", " if metric == 'TX power [dBm]':\n", " # Avoid plotting artifacts\n", " ax.set_xlim(ax.get_xlim()[0]-.5, ax.get_xlim()[1]+.5)\n", " ax.set_xlabel(metric)\n", " ax.grid()\n", " ax.set_ylabel('CDF')\n", "\n", "fig.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We note that:\n", "\n", "- For simulations in the downlink (`direction = downlink`), the transmit power per user remains constant and equals the\n", " base station's maximum transmit power. \n", " This occurs because in the `SionnaSYS`\n", " block we chose, for simplicity, to feed the scheduler with a uniform\n", " achievable rate across subcarriers, resulting in only one user being scheduled\n", " per slot; \n", "- For uplink (`direction = uplink`), power varies significantly across users to compensate for the pathloss\n", " through the open-loop procedure. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### MCS, SINR, and throughput\n", "\n", "We next investigate the pairwise relationship among Modulation and Coding\n", "Scheme (MCS), effective SINR, and throughput." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:56:30.198875Z", "iopub.status.busy": "2026-02-13T13:56:30.198722Z", "iopub.status.idle": "2026-02-13T13:56:30.515571Z", "shell.execute_reply": "2026-02-13T13:56:30.514533Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def pairplot(dict, keys, suptitle=None, figsize=2.5):\n", " fig, axs = plt.subplots(len(keys), len(keys),\n", " figsize=[len(keys)*figsize]*2)\n", " for row, key_row in enumerate(keys):\n", " for col, key_col in enumerate(keys):\n", " ax = axs[row, col]\n", " ax.grid()\n", " if row == col:\n", " ax.hist(dict[key_row], bins=30,\n", " color='skyblue', edgecolor='k',\n", " linewidth=.5)\n", " elif col > row:\n", " fig.delaxes(ax)\n", " else:\n", " ax.scatter(dict[key_col], dict[key_row],\n", " s=16, color='skyblue', alpha=0.9,\n", " linewidths=.5, edgecolor='k')\n", " ax.set_ylabel(key_row)\n", " ax.set_xlabel(key_col)\n", " if suptitle is not None:\n", " fig.suptitle(suptitle, y=1, fontsize=17)\n", " fig.tight_layout()\n", " return fig, axs\n", "\n", "\n", "fig, axs = pairplot(results_avg,\n", " ['Effective SINR [dB]', 'MCS', '# decoded bits / slot'],\n", " suptitle='MCS, SINR, and throughput')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As expected, as the SINR increases, higher MCS indices are used, resulting in higher throughput." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Link adaptation\n", "\n", "To main goal of link adaptation (LA) is to adapt the modulation and coding scheme\n", "(MCS), thereby the transmission speed and reliability, to the evolving channel\n", "conditions.\n", "\n", "LA addresses this problem by maintaining the transport block error\n", "rate (TBLER) around a pre-defined target, e.g., 10%, whenever possible. \n", "\n", "Since LA must deal with potentially outdated and noisy channel condition\n", "feedback, it corrects the estimated SINR by applying an offset through a\n", "feedback loop, known as outer-loop LA (OLLA). \n", "For more details on OLLA, please see [this notebook](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/LinkAdaptation.html).\n", "\n", "Below we visualize the relationship among the TBLER, MCS index, and OLLA offset." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:56:30.517653Z", "iopub.status.busy": "2026-02-13T13:56:30.517517Z", "iopub.status.idle": "2026-02-13T13:56:30.835720Z", "shell.execute_reply": "2026-02-13T13:56:30.834746Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = pairplot(results_avg,\n", " ['TBLER', 'MCS', 'OLLA offset'],\n", " suptitle='TBLER, MCS, and OLLA offset')\n", "for ii in range(3):\n", " axs[ii, 0].plot([bler_target]*2, axs[ii, 0].get_ylim(), '--k')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From the MCS vs. TBLER figure we observe that the TBLER of users with low MCS\n", "index, i.e., in bad channel conditions, is far from the target. This occurs\n", "since at low MCS values, further spectral efficiency reduction is not feasible,\n", "making it impossible to maintain the BLER at the target. For such users, the\n", "OLLA offset tries to over-compensate, unsuccessfully, the estimated SINR (see offset vs. MCS figure). " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Scheduler\n", "\n", "The main principles of proportional fairness (PF) scheduling are to \n", "- Distribute the available time/frequency resources uniformly across users;\n", "- Schedule users when their channel quality is high, relatively to their past average.\n", "\n", "The scheduler assigns a resource to the user with the highest PF metric, which\n", "is defined as the ratio between the achievable rate and the achieved throughput. \n", "An effective PF scheduler ensures that this metric remains low across all users." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "execution": { "iopub.execute_input": "2026-02-13T13:56:30.837779Z", "iopub.status.busy": "2026-02-13T13:56:30.837642Z", "iopub.status.idle": "2026-02-13T13:56:31.153565Z", "shell.execute_reply": "2026-02-13T13:56:31.152658Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = pairplot(results_avg,\n", " ['# allocated REs / slot', 'PF metric', 'MCS'],\n", " suptitle='PF metric, allocated resources, and MCS')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusions\n", "\n", "Sionna SYS enables large-scale system-level simulations using\n", "3GPP-compliant channel models generated via Sionna PHY.\n", "\n", "We demonstrated how to integrate key SYS modules, including multicell\n", "topology generation, phyisical layer abstraction, and layer-2 functionalities\n", "such as link adaptation, scheduling, and power control.\n", "\n", "To simplify the implementation, we assume *perfect* channel estimation and *exclude* handover management.\n", "\n", "For a more straightforward example of assembling the SYS modules together with\n", "ray-traced channels, we refer to the\n", "[Sionna SYS meets RT notebook](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/SYS_Meets_RT.html)." ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.12" } }, "nbformat": 4, "nbformat_minor": 2 }