搜索资源列表
MassiveMIMO_ChannelConverge
- 大规模MIMO信道收敛性分析，主要分析了上下行BS天线数不断增大时，信道矩阵特性，收敛趋势。-The analysis to Massive MIMO channel matrix for the downlink and uplink as the antennas grow up.
MassiveMIMO_Capacity
- 大规模MIMO信道容量分析，主要分析了BS和MS天线数不断增大时，对信道容量的影响。-The analysis to Massive MIMO channel capacity as the antennas of BS and MS grow up.
Massive-MIMO
- 关于大规模MIMO的论文，包括导频设计、信道估计等内容，有一定参考价值-MIMO papers on a large scale, including the pilot design, channel estimation, etc., have a certain reference value
fenji
- 大规模MIMO系统中，发射端、接收端采用QPSK调制、解码方式，使用Alamouti预编码算法，经过瑞丽衰落信道的分集性能matlab仿真。-The simulation of diversity gain that signals which are moduled by QPSK transmitt via Rayleigh channel in a massive MIMO system.
fuyong
- 大规模MIMO系统中，发射端、接收端采用QPSK调制、解码方式，使用Alamouti预编码算法，经过瑞丽衰落信道的复用性能matlab仿真。-The simulation of multiplexing gain that signals which are moduled by QPSK transmitt via Rayleigh channel in a massive MIMO system.
bpsk
- MIMO 大规模MIMO 和六个detector 去检测 性能好坏BER-MIMO massive MIMO with six detectors. ZF MMSE ZF-SIC MMSE-SIC ZF-OSIC MMSE-OSIC
qpsk
- MIMO 大规模 MIMO 编码 qpsk 检测器 6个 ber snr ZF MMSE SIC OSIC-MIMO massive MIMO with six detectors. ZF MMSE ZF-SIC MMSE-SIC ZF-OSIC MMSE-OSIC
Bit-error-rate-with-the
- 大规模mimo的一部分，由于时间关系和熟悉本流程的缘故，此次就上传一部练练手-Bit error rate with the number of receiving antennas
sparse channel estimation
- 大规模MIMO系统中低复杂度的稀疏信道估计，该资料值得看一看。(Low complexity sparse channel estimation in large scale MIMO systems)
Hybrid Beamforming for Large Antenna Arrays
- 给出了一种基于大规模天线混合波束成型算法的仿真实现(hybrid beamforming for large-scale MIMO system)
Low Complexity Hybrid Precoding
- 这篇论文主要低复杂度下的毫米波大规模MIMO混和预编码和信道估计，该算法能够降低计算复杂度和时间复杂度。(This paper mainly deals with millimeter-wave MIMO mixed precoding and channel estimation under low complexity. The algorithm can reduce the computational complexity and time complexity.)
大规模MIMO
- 对于学习MIMO的同学很有帮助，而且代码比较简单易懂而且有注释(It's helpful to learn about MIMO, and the code is easy to understand and annotated.)
MATLAB_ZF
- 大规模MIMO系统中混合精度ADC采用ZF接收机的仿真代码(Simulation Code on Mixed-ADC in a Massive MIMO System Using ZF Receiver)
Massive MIMO Systems with Non-Ideal Hardware
- 本文考虑了一种新的系统模型，它结合了通用收发器硬件损伤在BSs（配备大型天线阵列）和单天线用户设备（UE）。与传统硬件的传统情况相反，我们表明硬件损伤在信道估计精度和每个UE的下行链路/上行链路容量上创建有限天花板。令人惊讶的是，容量主要受限于UE的硬件，而大规模阵列中的损伤的影响逐渐消失，并且用户间干扰（特别是导频污染）变得可以忽略不计。此外，我们证明了大量的MIMO所提供的巨大自由度可以用来减少发射功率和/或容忍较大的硬件损伤，这允许使用廉价和节能的天线元件。(This paper cons
1
- FDD以及大规模天线系统仿真，附带matlab程序以及论文(AoD-adaptive subspace codebook for channel feedback in FDD massive MIMO systems)
大规模MIMO__detector
- 实现MIMO基本框架，并利用经典ZF ML算法进行检测，含图(Realize the basic framework of MIMO, and use the classical ZF ML algorithm to detect, including graphs)
main.m
- 大规模天线检测，运用近似消息传递算法，仿真实验(Massive MIMO detection by implement AMP)
cellulars
- 大规模MIMO 小区模型框架matlab详细例程说明(MassiveMIMO cellers Detailed MATLAB examples of large scale MIMO cell model framework)