NDLI: Distributed Antenna Allocation Scheme for Massive MIMO Cellular Backhaul Networks

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Wen-Hsing Kuo Chia-How Chen
Abstract	Massive multiple input multiple output (MIMO) transmission is a key research area for incoming fifth-generation wireless communications. This technology uses numerous simultaneously transceiving antennas to utilize radio resources and to improve communication quality. Although massive MIMO is suitable for inter-base station (BS) wireless backhaul networks, how to adequately assign each BS's antennas remains unsolved. In this paper, a distributed mechanism termed hierarchical distributed adjustment is proposed. On the basis of the links' channel conditions, BSs' available antennas, users' service requirements, and neighbors' allocation decisions, the transceiving antennas of each link are adjusted to both fulfill the quality-of-service constraints and maximize the total utility of the best-effort traffic. Through analysis, we prove that this problem is nondeterministic polynomial-complete, and the performance gap between the proposed heuristic and the optimal solution is bounded. The simulation results indicate a promising performance and adaptive behavior under various conditions. To the best of our knowledge, this paper is the first to focus on this problem and to have achieved effective and flexible allocation.
e-ISSN	21693536
DOI	10.1109/ACCESS.2018.2884520
Journal	IEEE Access
Volume Number	6
Language	English
Publisher	IEEE
Publisher Date	2018-01-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Electrical Engineering. Electronics. Nuclear Engineering Fifth Generation (5g) Mobile Communication Massive Multiple Input Multiple Output (mimo) Resource Management
Content Type	Text
Resource Type	Article

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