mimo_ofdm

Phased Array Antenna Handbook

用 MATLAB 对基带数字通信系统进行仿真。整 个系统模拟了发送和接收的全过程。其中调制部分采用 16QAM，并且采用基带传输(Using MATLAB for baseband digital communication system simulation. The system simulates the entire process of sending and receiving. Where the modulation part is 16QAM, and using the base band transmission)

基于RWG奇函数的矩量法的阻抗矩阵部分的编程代码(Programming code of impedance matrix part of moment method based on RWG odd function)

说明：  对NOMA下行链路的用户和信道功率分配的优化(Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access (NOMA) Network)

mpls tp oam frame work from ietf. very usefull

基于MATLAB搭建的超奈奎斯特（FTN）仿真系统(Based on Super Nyquist (FTN) MATLAB simulation system built)

OFDM中降低峰均比的方法，将传统的SLM法，改进的SLM法和限幅加改进SLM法进行比较(Compare OFDM PAPR reducing methods in the traditional SLM method, improved SLM method and limiter plus improved SLM method)

GD32F库函数，各种外设，gpio等等(gd32 library v2.0.0 gpio ..)

无线通信网络的发展趋势之一是将各种不同无线接入技术进行融合。多接入选择作为无线资源管理中的关键技术是目前异构网融合的研究热点之一。从用户的利益出发，充分考虑预接入网络的费用、QoS 和稳定性；假定不同的网络运营商之间是彼此竞争的，即没有达成统一的协议，提出了一种结合目标代价函数与层次分析法的动态多接入选择算法。通过对影响因素进行分析和二次判断，建立了网络选择决策模型，仿真结果验证了该算法的正确性与有效性。(Trends in wireless communication network is one of a variety of different wireless access technologies will be integrated. Multi-access radio resource management in selection as the key technology is the integration of heterogeneous networks of research focus. From the user' s interests fully into account the cost of pre-access networks, QoS and stability assumed between different network operators are competing with each other, that did not reach uniform agreement, proposed a combination of objective cost function and level analysis of dynamic multi-access selection algorithm. Through analysis of the factors affecting the judge and the second, the establishment of a network selection decision-making model, simulation results verify the correctness and validity of the algorithm.)

说明：  使用Simulink(或m语言)仿真卷积编码，并用Viterbi译码的方法进行解码，其中的编码、译码全部是自己编写代码(m语言方式)，不是调用Simulink(或m语言)的已有编码、译码函数。并在加性白高斯噪声信道中，画出比特信噪比与误码率的关系曲线。(Simulink (or M language) is used to simulate convolutional coding, and Viterbi decoding method is used to decode, in which the coding and decoding are all written by themselves (M language mode), rather than calling the existing coding and decoding functions of Simulink (or M language). In the additive white Gaussian noise channel, the relationship curve between bit SNR and BER is drawn.)