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Radio Environment Map Based Inter-Cell Interference Coordination for Massive-MIMO Systems

delete2024-01-01
delete7
PRE
AI
W
Wassim Ben Chikha *
M
Marie Masson
Z
Zwi Altman
S
Sana Ben Jemaa
DOI:10.1109/TMC.2022.3222763delete
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Abstract

Abstract

En 中文
Massive-MIMO (M-MIMO) allows to schedule users with high gain narrow beams and to reduce intra-cell inter-beam interference. Close to cell edge, users may experience high interference from beams of neighboring cells which degrades their performance. This paper introduces low complexity inter-cell interference coordination between neighboring cells for M-MIMO systems implementing Grid of Beams (GoB) using Radio Environment Maps (REMs). The REMs are designed using the Kriging with the Covariance Tapering spatial interpolation technique and are created for the serving and the interfering beams. The interference coordination is introduced as constraints to the schedulers that avoid simultaneous scheduling of users served by highly interfering beams from the neighboring cells. The coordination decision is based on information retrieved from REMs and its quality depends on the REMs' precision. Around 72 percent performance gain in terms of mean user throughput is achieved by the REM based coordination with respect to a baseline solution without coordination, and around 40 percent gain with respect to a state of the art solution that implements coordination using information at beam level resolution.
Keywords:
Structural beams
Interference
Array signal processing
5G mobile communication
Location awareness
Mobile computing
MIMO communication
Radio access network optimization
localization
radio environment map
interference coordination
scheduling
massive-MIMO
multi-user MIMO
grid of beams

Journal

IEEE Transactions on Mobile Computing cover
IEEE Transactions on Mobile Computing
IF:
9.2
Papers:
5.9K
Citations:
1.8W

Organization

I
imt - institut mines-telecom
Scholars:
7.4K
Papers: 6.4K
Citations: 5
I
institut polytechnique de paris
Scholars:
1.3W
Papers: 1.0W
Citations: 6
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