Energy Efficient Hybrid Duplexing and Resource Allocation for Distributed Antenna Systems

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Energy Efficient Hybrid Duplexing and Resource Allocation for Distributed Antenna Systems
Title:
Energy Efficient Hybrid Duplexing and Resource Allocation for Distributed Antenna Systems
Journal Title:
GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Keywords:
Publication Date:
04 December 2017
Citation:
Z. Wei, S. Sun, X. Zhu, Y. Huang and J. Wang, "Energy Efficient Hybrid Duplexing and Resource Allocation for Distributed Antenna Systems," GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6. doi: 10.1109/GLOCOM.2017.8254797
Abstract:
Motivated by the high data rate requirement, full- duplex (FD) multiple-input multiple-output (MIMO) has attracted much attention in both academia and industry. However, FD and MIMO techniques require high power consumption. To strike the balance between the data rate and power consumption, we propose a novel hybrid duplexing strategy, in which antennas are distributed across the service areas and are capable of working in hybrid modes of FD, half- duplex (HD) and sleeping mode, leading to higher energy efficiency (EE) than FD mode only due to enhanced degree of freedom. Based on the hybrid duplexing strategy, we maximize system EE by jointly designing transmitting/receiving chains' activation/deactivation at DAs, downlink beamformer, and uplink transmission power. Novel optimization algorithms are developed. Simulation results confirm that the hybrid duplexing distributed antenna (DA) system provides significant EE improvement over the conventional centralized FD MIMO system, showing its green evolution and applicability to future network deployment.
License type:
PublisherCopyrights
Funding Info:
Description:
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN:
978-1-5090-5019-2
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