A Survey on Maximum Ratio Combination: Applications, Evaluation and Future Directions

被引:0
|
作者
Feng, Xiao [1 ]
Tian, Feng [1 ]
Wang, Junfeng [2 ]
Zhou, Mingzhang [3 ,4 ]
Li, Dingzhao [3 ]
Sun, Haixin [3 ,4 ]
Song, Ruiping [3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Commun & Informat Engn, Nanjing 210003, Peoples R China
[2] Tianjin Univ Technol, Sch Integrated Circuit Sci & Engn, Tianjin 300384, Peoples R China
[3] Xiamen Univ, Sch Informat, Xiamen 361005, Peoples R China
[4] Minist Nat Resources, Key Lab Southeast Coast Marine Informat Intelligen, Zhangzhou 363099, Peoples R China
关键词
maximum ratio combining; diversity combining; channel fading; impulsive noise; deep learning; POWER COCHANNEL INTERFERERS; NON-GAUSSIAN NOISE; RAYLEIGH FADING CHANNELS; PERFORMANCE ANALYSIS; OUTAGE PROBABILITY; SIGNAL-DETECTION; ERROR RATES; STATISTICAL CHARACTERIZATION; GAMMA-DISTRIBUTION; SIMULATION-MODEL;
D O I
10.3390/electronics13153087
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of wireless communications, the occupation of time and frequency resources becomes more crowded. The exploitation of space resources is necessary and the diversity combining techniques have substantial applications. Diversity combining achieves great diversity gains and improves the ability to combat multipath fading, among which the maximum ratio combining (MRC) performs as the optimal linear combining approach. However, MRC suffers from detrimental factors such as channel fading and no Gaussian noise in practical scenarios. In this paper, we focus on a comprehensive investigation of MRC. Starting from the MRC principle and system model, we summarize typical scenarios and analyze the channel fading statistics. For the influential factors, we further review related literature on channel correlation, cochannel interference (CCI) and impulsive noise. Major performance criteria and performance bounds are derived and compared. MRC confronts new developing challenges and the major development directions are reviewed. The paper finally discusses recent works and open problems for MRC applications and development. Emerging techniques such as artificial intelligence provide novel solutions for MRC performance improvements. The paper aims to present a summarized insight to assist readers in clarifying the analyzed methodology of MRC, so as to motivate new technology integration and extensive applications of advanced communication systems.
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页数:33
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