Cell-Free智能干扰协调模式选择和功率分配数据集

本数据集含有两个数据文件，数据量232MB。其中（1）知识图谱-图神经网络在Cell-FreemMIMO场景下的功率分配仿真数据集源于系统级仿真数据，针对多小区-多用户Cell-FreeMIMO场景。接入点与用户在小区直径范围内均匀随机布置，并采用8邻包裹拓扑以避免边缘效应。信道模型包含三段式路径损耗、8dB对数-正态阴影衰落和瑞利衰落。数据包括用户信道信息数据，维度分别是（仿真次数、接入点数量、用户数）和平均用户速率性能分析数据；（2）Cell-Free网络智能干扰协调模式选择数据集源于系统Monte-Carlo仿真，针对Cel1-FreeMIMO网络场景。接入点与用户在区域内均匀随机部署，仿真中考虑天线的空间相关与阴影衰落，信道模型结合三段式路径损耗、8dB，对数正态分布的阴影衰落和指数相关瑞利小尺度衰落。数据集包含初始用户信道信息数据、干扰性能分析数据、速率性能分析数据。

This dataset contains two data files with a total size of 232 MB.
(1) The power allocation simulation dataset for knowledge graph-graph neural networks in Cell-Free MIMO scenarios is derived from system-level simulation data, targeting multi-cell multi-user Cell-Free MIMO scenarios. Access points (APs) and user equipments (UEs) are randomly and uniformly deployed within the cell diameter range, and an 8-neighbor wrapping topology is adopted to mitigate edge effects. The channel model incorporates three-stage path loss, 8 dB log-normal shadow fading, and Rayleigh fading. The dataset includes user channel information data with dimensions of (number of simulation runs, number of access points, number of users) and average user rate performance analysis data;
(2) The intelligent interference coordination mode selection dataset for Cell-Free networks is derived from system-level Monte-Carlo simulations, targeting Cell-Free MIMO network scenarios. Access points and user equipments are randomly and uniformly deployed within the target area. The simulation considers spatial correlation of antennas and shadow fading, and the channel model combines three-stage path loss, 8 dB log-normal shadow fading, and exponentially correlated Rayleigh small-scale fading. The dataset contains initial user channel information data, interference performance analysis data, and rate performance analysis data.

搜集汇总

背景与挑战

背景概述

该数据集包含两个部分：一是针对多小区多用户Cell-Free MIMO场景的功率分配仿真数据，涵盖用户信道信息和平均速率性能；二是针对Cell-Free MIMO网络的智能干扰协调模式选择数据，包括初始信道信息、干扰和速率性能分析。数据集基于系统级仿真生成，总大小为232MB，涉及mat、xlsx等多种格式。