Energy Efficient Hybrid Duplexing and Resource Allocation for Distributed Antenna Systems



Wei, Zhongxiang, Sun, Sumei, Zhu, Xu ORCID: 0000-0002-7371-4595, Huang, Yi ORCID: 0000-0001-7774-1024 and Wang, Jingjing
(2017) Energy Efficient Hybrid Duplexing and Resource Allocation for Distributed Antenna Systems. In: 2017 IEEE Global Communications Conference (GLOBECOM 2017), 2017-12-4 - 2017-12-8, Singapore.

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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.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Hybrid duplexing, distributed antennas, energy efficiency, nonconvex optimization
Depositing User: Symplectic Admin
Date Deposited: 11 Jun 2018 08:33
Last Modified: 28 Feb 2024 14:42
DOI: 10.1109/glocom.2017.8254797
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3022284