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Adaptive Frequency Reuse for Beam Allocation Based Multiuser Massive MIMO Systems

Wang, Junyuan and Gomes, Nathan J. and Wang, Jiangzhou (2018) Adaptive Frequency Reuse for Beam Allocation Based Multiuser Massive MIMO Systems. In: 2018 IEEE International Conference on Communications (ICC). IEEE. ISBN 978-1-5386-3181-2. E-ISBN 978-1-5386-3180-5. (doi:10.1109/ICC.2018.8422264) (KAR id:68900)


Massive multiple-input-multiple-output (MIMO) is a promising technique to provide high-data-rate communication in fifth-generation (5G) mobile systems, thanks to its ability to form narrow and high-gain beams. Among various massive MIMO beamforming techniques, the fixed-beam scheme has attracted considerable attention due to its simplicity. In this paper, we focus on a fixed- beam based multiuser massive MIMO system where each user is served by a beam allocated to it. As the directions of fixed beams are predetermined and the users are randomly distributed, there could be some ``worst-case'' users, located at the edge of its serving beam, suffering from strong inter-beam interference and thus experiencing low data rate. To improve the individual data rates of the worst-case users while maintaining the sum data rate, an adaptive frequency reuse scheme is proposed. Simulation results corroborate that our proposed adaptive frequency reuse strategy can greatly improve the worst-case users' data rates without sacrificing the sum data rate.

Item Type: Book section
DOI/Identification number: 10.1109/ICC.2018.8422264
Uncontrolled keywords: Adaptive frequency reuse, beam allocation, achievable data rate, worst-case users, massive multiple-inputmultiple-output (MIMO)
Subjects: Q Science
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Jiangzhou Wang
Date Deposited: 03 Sep 2018 09:46 UTC
Last Modified: 06 Jul 2024 22:08 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Wang, Junyuan.

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Gomes, Nathan J..

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Wang, Jiangzhou.

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