Throughput analysis of large-but-finite MIMO networks using schedulers

Type
Conference Paper

Authors
Makki, Behrooz
Svensson, Tommy
Alouini, Mohamed-Slim

KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program

Online Publication Date
2018-06-11

Print Publication Date
2018-04

Date
2018-06-11

Abstract
We study the sum throughput of multiple-input-multiple-output (MIMO) networks in the cases with large but finite number of transmit and receive data terminals. We develop an efficient scheduling scheme using genetic algorithms (GAs), and evaluate the effect of various parameters, such as channel/precoding models, number of antennas/users, scheduling costs and power amplifiers efficiency, on the system performance. Also, considering continuous and bursty communication scenarios with different users' data request probabilities, we derive closed-form expressions for the maximum achievable throughput of the MIMO networks using optimal schedulers. As we show, our proposed GA-based scheduler reaches (almost) the same throughput as in the exhaustive search-based optimal scheduler, with substantially less implementation complexity. Also, the power amplifiers inefficiency affect the network throughput significantly. For instance, consider a MIMO setup with a 40-antenna base station, 60 users, total consumed power of 26 dB, continuous communications and the typical parameter settings of the power amplifiers. Then, the network throughput decreases by 50% when the power amplifiers efficiency reduces from 75% to 25%.

Citation
Makki B, Svensson T, Alouini M-S (2018) Throughput analysis of large-but-finite MIMO networks using schedulers. 2018 IEEE Wireless Communications and Networking Conference (WCNC). Available: http://dx.doi.org/10.1109/wcnc.2018.8377145.

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Journal
2018 IEEE Wireless Communications and Networking Conference (WCNC)

Conference/Event Name
2018 IEEE Wireless Communications and Networking Conference, WCNC 2018

DOI
10.1109/wcnc.2018.8377145

Additional Links
https://ieeexplore.ieee.org/document/8377145/authors

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