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Power Allocation for Energy Efficiency Maximization in Massive MIMO Systems

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Abstract
In this work, we investigate the power allocation needed to maximize the energy efficiency (EE) of a massive multiple-input-multiple-output (MIMO) system. We first derive a closed-form expression for the user rate with the presence of pilot contamination caused by inter-cell interference during the channel estimation phase. From the definition of system EE, we propose a maximization problem with two constraints: limited power for pilot and data signals and a minimum value for every user rate. The proposed maximization problem is a fractional programming problem and is very hard to solve directly. Therefore, we propose the first iterative algorithm to transform the original problem into subtractive form. Moreover, we propose the second iterative algorithm to solve the subtractive form maximization problem by approximating it as a convex problem. The convergence and feasibility of the two proposed algorithms are also discussed. Finally, the effectiveness of our scheme is shown by simulation results.
Author(s)
다오 충 히에우김성환
Issued Date
2021
Type
Article
Keyword
Massive MIMOpower allocationenergy efficiency (EE)convex optimization
DOI
10.1109/TVT.2021.3109664
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9087
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_crossref_primary_10_1109_TVT_2021_3109664&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Power%20Allocation%20for%20Energy%20Efficiency%20Maximization%20in%20Massive%20MIMO%20Systems&offset=0&pcAvailability=true
Publisher
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Location
미국
Language
영어
ISSN
0018-9545
Citation Volume
70
Citation Number
10
Citation Start Page
10570
Citation End Page
10579
Appears in Collections:
Engineering > IT Convergence
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