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Coalition Game Based User Association for mmWave Mobile Relay Systems in Rail Traffic Scenarios.

Authors :
Chen, Chen
Niu, Yong
Mao, Shiwen
Zhang, Xiaodan
Han, Zhu
Ai, Bo
Gao, Meilin
Xiao, Huahua
Wang, Ning
Source :
IEEE Transactions on Vehicular Technology. Oct2021, Vol. 70 Issue 10, p10528-10540. 13p.
Publication Year :
2021

Abstract

Rail transportation, especially, high-speed rails (HSR), is an important infrastructure for the development of national economy and the promotion of passenger experience. Due to the large bandwidth, millimeter wave (mmWave) communication is regarded as a promising technology to meet the demand of high data rates. However, since mmWave communication has the characteristic of high attenuation, mobile relay (MR) is considered in this paper. Also, full-duplex (FD) communications have been proposed to improve the spectral efficiency. However, because of the high speed, as well as the problem of penetration loss, passengers on the train have a poor quality of service. Consequently, an effective user association scheme for HSR in mmWave band is necessary. In this paper, we investigate the user association optimization problem in mmWave mobile relay systems where the MRs operate in the FD mode. To maximize the system capacity, we propose a cooperative user association approach based on coalition formation game, and develop a coalition formation algorithm to solve the challenging NP-hard problem. We also prove the convergence and Nash-stable property of the proposed algorithm. Extensive simulations are done to show the system performance of the proposed scheme under various network settings. It is demonstrated that the proposed distributed low complexity scheme achieves a near-optimal performance and outperforms two baseline schemes in terms of average system throughput. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
70
Issue :
10
Database :
Academic Search Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
153712185
Full Text :
https://doi.org/10.1109/TVT.2021.3109245