Energy Efficiency Scheme with Cellular Partition Zooming for Massive MIMO Systems
Di Zhang, Zhenyu Zhou, Keping Yu, Takuro Sato

TL;DR
This paper proposes a cellular partition zooming scheme for Massive MIMO base stations to improve energy efficiency by dynamically adjusting coverage areas, achieving significant energy savings with minimal impact on transmission rates.
Contribution
It introduces a novel cellular partition zooming scheme that reduces base station energy consumption by adaptive coverage control, addressing a gap in energy efficiency research from a BS perspective.
Findings
CPZ scheme improves energy efficiency significantly.
Negligible impact on transmission rate.
Effective energy savings in Massive MIMO systems.
Abstract
Massive multiple-input multiple-output (Massive MIMO) has been realized as a promising technology for next generation wireless mobile communications, in which Spectral efficiency (SE) and energy efficiency (EE) are two critical issues. Prior estimates have indicated that 57% energy of the cellular system need to be supplied by the operator, especially to feed the base station (BS). While varies scheduling studies concerned on the user equipment (UE) to reduce the total energy consumption instead of BS. Fewer literatures address EE issues from a BS perspective. In this paper, an EE scheme is proposed by reducing the energy consumption of BS. The transmission model and parameters related to EE is formulated first. Afterwards, an cellular partition zooming (CPZ) scheme is proposed where the BS can zoom in to maintain the coverage area. Specifically, if no user exists in the rare area of…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
