Energy efficiency maximization of massive MIMO systems using RF chain selection and hybrid precoding

Salman Khalid (), Rashid Mehmood, Waqas bin Abbas, Farhan Khalid and Muhammad Naeem
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Salman Khalid: National University of Computer and Emerging Sciences (NUCES)
Rashid Mehmood: COMSATS University, Wah Campus
Waqas bin Abbas: National University of Computer and Emerging Sciences (NUCES)
Farhan Khalid: National University of Computer and Emerging Sciences (NUCES)
Muhammad Naeem: COMSATS University, Wah Campus

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 80, issue 2, No 7, 261 pages

Abstract: Abstract Modern day millimeter wave communication systems prefer hybrid precoding architecture over digital architecture due to higher energy efficiency, lower power consumption and comparable spectral efficiency. Both energy efficiency and spectral efficiency defines the system performance of a hybrid precoder and are dependent on the number of available active RF chains. The aim to maximize energy efficiency without any obvious performance degradation in terms of spectral efficiency has created a tradeoff due to dependency of energy and spectral efficiency on RF chains. This tradeoff is being investigated in this paper by performing RF chain selection using evolutionary algorithms. We present a hybrid heuristic approach comprising of low computationally complex evolutionary algorithms for RF chain selection and successive interference cancellation for precoding. Furthermore, we have shown that for low SNR regime the analog percoding is optimal in terms of energy efficiency and for high SNR regime we can adopt the RF chain selection procedure to maximize the energy efficiency. Moreover, the channel irregularities do not effect our proposed scheme.

Keywords: Hybrid precoder; Millimeter wave communication; Hybrid heuristic; Achievable sum rate; Energy efficiency; RF chain selection (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-022-00900-7

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