LFMdetection

5G PDSCH信道吞吐量matlab仿真，包括PDSCH信道产生及解调(NewRadioPDSCHThroughputExample)

翻译版的《MIMO无线网络手册》（第二版），15年11月才出的，费了很大功夫做了电子版，这里只有前四章，针对的是信道部分，讲的很全面细致，对研究这部分的人有很大帮助(Translated version of MIMO Wireless Network Handbook (second edition), November 15 was out, and spent a lot of effort to make the electronic version, there is only the first four chapters, is for part of the channel, said very detailed and thorough , the study of this part of the people are very helpful)

非合作博弈论在认知无线电中的功率控制方法探讨 (Non-cooperative game theory in cognitive radio power allocation)

说明：  Matlab实现多智能体一致性问题，可运行(Realization of Multi-Agent Consistency by MATLAB)

wireless_location_korean_cdma for thanhstore

说明：  主要运用matlab仿真mpsk、16qam的星座图，里面有很多关于函数的参数注释，适合初学者(Realization of MPSK 16QAM constellation in MATLAB)

研究d2d通信加中继节点来优化蜂窝小区边缘用户通信，并通过MATLAB仿真(The D2D communication and relay nodes are studied to optimize the edge user communication of cellular cell, and the simulation is carried out by MATLAB.)

如果你第一次使用D12，请先阅读该文档，将会对你的编程有很大帮助。(if you use the PDIUSBD12 first time ,please read this file first.)

分布式一致性协议，很适合刚接触一致性的新手(The consistency of distributed agreement, it is very suitable for new to novices)

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)