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⛄ 内容介绍
This is a brief documentation on the MATLAB implementation of estimating the average channel capacity using the Mathworks 5G New Radio (NR) clustered delay line (CDL) channel model that is provided in the 5G Toolbox [1]. The nrCDLChannel System objectTM implements the CDL model as specified in the 3GPP TR 38.901, in which the CDL-A, CDL-B and CDL-C models are for non-line-of-sight (NLOS) links while the CDL-Dand CDL-E models are for LOS links [2]. In this example, the CDL-A model is implemented assuming NLOS links. The nrCDLChannel System objectTM can generate channel coefficients and filter the input signal

⛄ 部分代码
% Obtain the array response vectors at the BS and UE for all propagation angles.
% RayAOD/AOA/ZOD/ZOA: MN x 1
% ElePosBS/UE: 3 x Nt/Nr
% 3 x MN
UnitVectorBS = SphericalUnitVector(RayZOD,RayAOD);
UnitVectorUE = SphericalUnitVector(RayZOA,RayAOA);
% Steering vectors at BS and UE
At = exp(1i*2*pi*UnitVectorBS.'*ElePosBS/WaveLength); % MN x Nt
At = At.'; % Nt x MN
Ar = exp(1i*2*pi*UnitVectorUE.'*ElePosUE/WaveLength); % MN x Nr
Ar = Ar.'; % Nr x MN
⛄ 运行结果

⛄ 参考文献
[1] Singh J , Shukla A . Spectrum Sensing in MIMO Cognitive Radio Networks Using Likelihood Ratio Tests with Unknown CSI. 2020.
⛄ 完整代码
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该博客主要介绍了使用Matlab和5G Toolbox中的Mathworks 5G New Radio (NR) 聚类延迟线 (CDL) 信道模型估计平均信道容量的实现。给出了部分代码示例,还提及运行结果、参考文献等内容,涉及智能优化算法、神经网络预测等多方面Matlab仿真。
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