Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach

Despite the extensive research on massive multi-input multi-output (MIMO) systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of antennas rather than supporting massive MIMO configurations. Furthermore, while the cell-less network concept, which eliminates cell boundaries, is under investigation, practical deployments often grapple with significantly limited backhaul connection capacities between base stations. This letter explores techniques to maximize the sum-rate performance within the constraints of these more realistically equipped multicell networks. We propose an innovative approach that dramatically reduces the need for information exchange between base stations to a mere few bits, in stark contrast to conventional methods that require the exchange of hundreds of bits. Our proposed method not only addresses the limitations imposed by current network infrastructure but also showcases significantly improved performance under these constrained conditions.

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Publication Details

Journal
IEEE Communications Letters
Published
2024-11-20
DOI
https://doi.org/10.1109/lcomm.2024.3503656
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach

Youjin Kim, Hyun Jong Yang, Jonggyu Jang
IEEE Communications Letters
Advanced MIMO Systems Optimization
article

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach

Youjin Kim, Hyun Jong Yang, Jonggyu Jang
article en

Abstract

Despite the extensive research on massive multi-input multi-output (MIMO) systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of antennas rather than supporting massive MIMO configurations. Furthermore, while the cell-less network concept, which eliminates cell boundaries, is under investigation, practical deployments often grapple with significantly limited backhaul connection capacities between base stations. This letter explores techniques to maximize the sum-rate performance within the constraints of these more realistically equipped multicell networks. We propose an innovative approach that dramatically reduces the need for information exchange between base stations to a mere few bits, in stark contrast to conventional methods that require the exchange of hundreds of bits. Our proposed method not only addresses the limitations imposed by current network infrastructure but also showcases significantly improved performance under these constrained conditions.

IEEE Communications LettersVol. 29(1)
Seoul National University (KR), Samsung (South Korea) (KR), Seoul Media Institute of Technology (KR)
Openalex Percentile: Top 81%
Advanced MIMO Systems Optimization
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Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach — Youjin Kim, Hyun Jong Yang, et al. · IEEE Communications Letters (2024) | TGRS Research Map | TGRS