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)
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Official URL: https://doi.org/10.1109/ICC.2018.8422264 |
Abstract
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 |
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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: | 05 Nov 2024 12:30 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/68900 (The current URI for this page, for reference purposes) |
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