Impact of Subcarrier Allocation and User Mobility on the Uplink Performance of Multiuser Massive MIMO-OFDM Systems

被引:5
作者
Anand, Abhinav [1 ]
Murthy, Chandra R. [1 ]
机构
[1] Indian Inst Sci, Dept Elect Commun Engn, Bangalore 560012, Karnataka, India
关键词
Uplink; Resource management; Massive MIMO; Interference; Channel estimation; Aging; Antennas; Massive Multiple-Input-Multiple-Output orthogonal frequency-division multiplexing (MIMO-OFDM); inter carrier interference; channel aging; coherence bandwidth; uplink sum-rate; WIRELESS; NETWORKS; ENERGY;
D O I
10.1109/TCOMM.2022.3186402
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper considers the uplink performance of a multi-user massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system with mobile users. Mobility brings two major problems to a MIMO-OFDM system: inter carrier interference (ICI) and channel aging. In practice, it is common to allot multiple contiguous subcarriers to a user as well as schedule multiple users on each subcarrier. Motivated by this, we consider a general subcarrier allocation scheme and derive expressions for the ICI power, uplink signal to interference plus noise ratio and the achievable uplink sum-rate, taking into account the ICI and the multi-user interference due to channel aging. We show that the system incurs a near-constant ICI power that depends linearly on the ratio of the number of users per subcarrier to the number of subcarriers per user, nearly independently of how the UEs distribute their power across the subcarriers. Further, we exploit the coherence bandwidth of the channel to reduce the length of the pilot sequences required for uplink channel estimation. We consider both zero-forcing and maximal-ratio combining at the receiver and compare the respective sum-rate performances. In either case, the subcarrier allocation scheme considered in this paper leads to significantly higher sum-rates compared to previous work, owing to the near-constant ICI property as well as the reduced pilot overhead.
引用
收藏
页码:5285 / 5299
页数:15
相关论文
共 22 条
[1]  
[Anonymous], 1994, Microwave Mobile Communications
[2]  
Björnson E, 2017, FOUND TRENDS SIGNAL, V11, P154, DOI 10.1561/2000000093
[3]   Massive MIMO: Ten Myths and One Critical Question [J].
Bjornson, Emil ;
Larsson, Erik G. ;
Marzetta, Thomas L. .
IEEE COMMUNICATIONS MAGAZINE, 2016, 54 (02) :114-123
[4]   Data Aided MSE-Optimal Time Varying Channel Tracking in Massive MIMO Systems [J].
Chopra, Ribhu ;
Murthy, Chandra R. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 :4219-4233
[5]   Uplink Performance Analysis of Cell-Free mMIMO Systems Under Channel Aging [J].
Chopra, Ribhu ;
Murthy, Chandra R. ;
Papazafeiropoulos, Anastasios K. .
IEEE COMMUNICATIONS LETTERS, 2021, 25 (07) :2206-2210
[6]   Performance Analysis of FDD Massive MIMO Systems Under Channel Aging [J].
Chopra, Ribhu ;
Murthy, Chandra R. ;
Suraweera, Himal A. ;
Larsson, Erik G. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (02) :1094-1108
[7]   On the Throughput of Large MIMO Beamforming Systems With Channel Aging [J].
Chopra, Ribhu ;
Murthy, Chandra R. ;
Suraweera, Himal A. .
IEEE SIGNAL PROCESSING LETTERS, 2016, 23 (11) :1523-1527
[8]  
Dai HY, 2006, INT CONF ACOUST SPEE, P4231
[9]   Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need? [J].
Hoydis, Jakob ;
ten Brink, Stephan ;
Debbah, Merouane .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2013, 31 (02) :160-171
[10]   Massive MIMO Channel Prediction: Kalman Filtering Vs. Machine Learning [J].
Kim, Hwanjin ;
Kim, Sucheol ;
Lee, Hyeongtaek ;
Jang, Chulhee ;
Choi, Yongyun ;
Choi, Junil .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (01) :518-528