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Review

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

1
School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2
School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
3
School of Informatics, Xiamen University, Xiamen 361005, China
4
Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application, Ministry of Natural Resources, Zhangzhou 363099, China
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(15), 3087; https://doi.org/10.3390/electronics13153087 (registering DOI)
Submission received: 3 July 2024 / Revised: 24 July 2024 / Accepted: 1 August 2024 / Published: 4 August 2024

Abstract

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.
Keywords: maximum ratio combining; diversity combining; channel fading; impulsive noise; deep learning maximum ratio combining; diversity combining; channel fading; impulsive noise; deep learning

Share and Cite

MDPI and ACS Style

Feng, X.; Tian, F.; Wang, J.; Zhou, M.; Li, D.; Sun, H.; Song, R. A Survey on Maximum Ratio Combination: Applications, Evaluation and Future Directions. Electronics 2024, 13, 3087. https://doi.org/10.3390/electronics13153087

AMA Style

Feng X, Tian F, Wang J, Zhou M, Li D, Sun H, Song R. A Survey on Maximum Ratio Combination: Applications, Evaluation and Future Directions. Electronics. 2024; 13(15):3087. https://doi.org/10.3390/electronics13153087

Chicago/Turabian Style

Feng, Xiao, Feng Tian, Junfeng Wang, Mingzhang Zhou, Dingzhao Li, Haixin Sun, and Ruiping Song. 2024. "A Survey on Maximum Ratio Combination: Applications, Evaluation and Future Directions" Electronics 13, no. 15: 3087. https://doi.org/10.3390/electronics13153087

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