A New Scheduling Algorithm for Time-varying MIMO Channels with a Channel Aging Metric

被引:5
作者
Hong, Minchul [1 ]
Hwang, Incheol [1 ]
Heo, Jehyun [1 ]
Hong, Daesik [1 ]
机构
[1] Yonsei Univ, Sch EE Engn, Seoul 03722, South Korea
来源
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC | 2023年
基金
新加坡国家研究基金会;
关键词
massive MIMO; scheduling; user selection; fast fading; channel aging; time-varying channel; channel correlation; MASSIVE MIMO;
D O I
10.1109/CCNC51644.2023.10059856
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In a wireless communication system, channel aging produces a mismatch between the estimated channel and the channel state at the time of data transmission. This mismatch enhances the interference to users and degrades system capacity. In this paper, we first define a channel aging metric (CAM) to reflect the influence of channel aging on user scheduling. We then propose a CAM-based semiorthogonal user scheduling (CAMSUS) algorithm that adaptively adjusts the number of serving users according to the user's CAM. Specifically, the CAMSUS algorithm reduces the number of serving users to mitigate intra-user interference (IUI) when channel aging is severe, and otherwise increases the number to increase the multiplexing gain. Simulation results show the proposed algorithm outperforms the SUS algorithm in a time-varying channel in terms of signal-tointerference-plus-noise ratio by 6-7 dB, and the achievable rate by 39-41%.
引用
收藏
页数:6
相关论文
共 12 条
[1]  
3GPP, 2022, 3rd Gener. Partnership Project, Tech. Rep. (TR) 38.901
[2]  
[Anonymous], 2022, 138214 3GPP TS
[3]  
Bashar M., 2013, 2013 IEEE 77 VEHICUL, P1
[4]  
Hung Nguyen-Le, 2010, 2010 17th International Conference on Telecommunications (ICT 2010), P350, DOI 10.1109/ICTEL.2010.5478876
[5]   Joint Spatial Division and Multiplexing: Opportunistic Beamforming, User Grouping and Simplified Downlink Scheduling [J].
Nam, Junyoung ;
Adhikary, Ansuman ;
Ahn, Jae-Young ;
Caire, Giuseppe .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2014, 8 (05) :876-890
[6]   Low Complexity MIMO Channel Prediction for Fast Time-Variant Vehicular Communications Channels Based on Discrete Prolate Spheroidal Sequences [J].
Talaei, Farnoosh ;
Zhan, Jinlong ;
Dong, Xiaodai .
IEEE ACCESS, 2021, 9 :23398-23408
[7]   Performance Analysis of User Scheduling in Massive MIMO with Fast Moving Users [J].
Thet, Nann Win Moe ;
Baykas, Tuncer ;
Ozdemir, Mehmet Kemal .
2019 IEEE 30TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2019, :614-619
[8]  
Truong KT, 2013, J COMMUN NETW-S KOR, V15, P338
[9]  
Viswanath P, 2002, IEEE T INFORM THEORY, V48, P1277, DOI 10.1109/TIT.2002.1003822
[10]   User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis [J].
Xu, Yi ;
Yue, Guosen ;
Mao, Shiwen .
IEEE ACCESS, 2014, 2 :947-959