A Centralized Inter-Cell Rank Coordination Mechanism for 5G Systems

Publication: Research - peer-reviewArticle in proceeding

Abstract

Multiple transmit and receive antennas can be used to increase the number of independent streams between a transmitter-receiver pair, or to improve the interference resilience property with the help of linear minimum mean squared error (MMSE) receivers. An interference aware inter-cell rank coordination framework for the future fifth generation wireless system is proposed in this article. The proposal utilizes results from random matrix theory to estimate the mean signal-to-interference-plus-noise ratio at the MMSE receiver. In addition, a game-theoretic interference pricing measure is introduced as an inter-cell interference management mechanism to balance the spatial multiplexing vs. interference resilience trade-off. Exhaustive Monte Carlo simulations results demonstrating the performance of the proposed algorithm indicate a gain of around 40% over conventional non interference-aware schemes; and within around 6% of the optimum performance obtained using a brute-force exhaustive search algorithm.
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Details

Multiple transmit and receive antennas can be used to increase the number of independent streams between a transmitter-receiver pair, or to improve the interference resilience property with the help of linear minimum mean squared error (MMSE) receivers. An interference aware inter-cell rank coordination framework for the future fifth generation wireless system is proposed in this article. The proposal utilizes results from random matrix theory to estimate the mean signal-to-interference-plus-noise ratio at the MMSE receiver. In addition, a game-theoretic interference pricing measure is introduced as an inter-cell interference management mechanism to balance the spatial multiplexing vs. interference resilience trade-off. Exhaustive Monte Carlo simulations results demonstrating the performance of the proposed algorithm indicate a gain of around 40% over conventional non interference-aware schemes; and within around 6% of the optimum performance obtained using a brute-force exhaustive search algorithm.
Original languageEnglish
Title of host publication2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
PublisherIEEE
Publication dateJun 2017
Pages1951-1956
ISBN (electronic)978-1-5090-4372-9
DOI
StatePublished - Jun 2017
EventThe 13th International Wireless Communications and Mobile Computing Conference - Valencia, Spain

Conference

ConferenceThe 13th International Wireless Communications and Mobile Computing Conference
LandSpain
ByValencia
Periode26/06/201730/06/2017
Internetadresse

    Keywords

  • 5G, Rank adaptation , random matrix theory, interference pricing, MMSE receivers, MIMO

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