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07227112
- Thanks to the small wavelength at millimeter wave (mmWave) frequency, it is promising to combine massive multiple-input and multiple-output (MIMO) with mmWave. MmWave massive MIMO will differ the conventional massive MIMO, due to the differen
Capacity Analysis of NOMA
- Dr. Zhang发表的一篇关于《毫米波大规模MIMO系统中NOMA的容量分析》，这篇文章中将NOMA，毫米波和大规模MIMO技术进行了融合，并且讨论了系统容量的增量。(the Capacity Analysis of NOMA With mmWave Massive MIMO Systems is mainly talk about the combining of NOMA, mmWave and massive MIMO into the converged systems, at the
1604.03049
- Channel estimation for millimeter-wave (mmWave) massive MIMO with hybrid precoding is challenging, since the number of radio frequency (RF) chains is usually much smaller than that of antennas. To date, several channel estimation schemes have bee
08030501
- Hybrid Beamforming for Massive MIMO A Survey
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- 机器学习应用到毫米波和MIMO方面的论文，附带matlab程序！(Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems)
AS
- solve a joint antenna selection and analog beamformer problem(jointly design the antenna selection and analog beamformer with low-resolution phase shifters in mmwave MIMO systems)
Millimeter-Wave Massive MIMO-NOMA
- This simulation code package is mainly used to reproduce the results of the following paper [1]: [1] Linglong Dai, Bichai Wang, Mugen Peng, and Shanzhi Chen, “Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA with Simultaneous Wireless Inform
mmWave Hybrid
- 本文开发了一种自适应算法来估计mmWave信道参数，该算法利用了信道的较差散射特性。 为了使该算法有效运行，设计了一种新颖的分层多分辨率码本，以构造具有不同波束宽度的训练波束成形向量。 对于单路径信道，推导了使用所提出算法的估计误差概率的上限，并且获得了对算法自适应阶段之间训练功率的有效分配的一些见解。(This paper develops an adaptive algorithm to estimate the mmWave channel parameters that exploits