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基于OAI平台的NOMA技术研究与实现_吴彤
- 可以对OAI平台、USRP和NOMA有一个系统的认识(Have a systematic understanding of OAI platform, USRP and NOMA)
NOMA
- NOMA仿真，能够实现两用户的NOMA系统仿真的实现，对于初入NOMA者非常有用(NOMA simulation, which can realize the simulation of two-user NOMA system, is very useful for new entrants to NOMA.)
Outage
- NOMA系统计算用户中断概率和系统吞吐量。(Noma system calculates the outage probability and system throughput.)
upload
- 这些文件将在两用户非正交多址（NOMA）系统中实现用于信号检测的深度学习方法[1]。三个主要脚本分别是生成训练数据、训练神经网络和生成测试结果。该神经网络用于相位衰落的静态标量信道，用于NOMA系统中同时检测2个用户的单个子载波上的传输符号。考虑并测试了两种情况：一种是导频符号数目较少，另一种是循环前缀长度较短。在这两种情况下，深度学习方法都比传统的信道估计方法具有更强的鲁棒性。(These files are to implement the deep learning method for
NOMAfasong
- 介绍了noma在lte下的两个用户如何资源分配以及接收端sic技术的仿真结果。(This paper introduces how to allocate resources between two users of noma under LTE and the simulation results of SiC at the receiver.)
NOMAcode
- NOMA系统的仿真代码，在lte的环境下运行，两个用户仿真比较误码。(The simulation code of NOMA system runs in LTE environment, and the error codes of two users are compared by simulation.)
MIMO-NOMA
- Mimo-noma论文复制+代码运行通过，结果是可用的，但你必须下载CVX工具包(Mimo-noma thesis replication + code runs through, results are available, but you have to download the CVX toolkit)