Paper Info
Title
Energy Efficient Hybrid Duplexing and Resource Allocation for Distributed Antenna Systems.
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.
Year
Venue
Keywords
2017
IEEE Global Communications Conference
Hybrid duplexing,distributed antennas,energy efficiency,nonconvex optimization
Field
DocType
ISSN
Computer science,Efficient energy use,MIMO,Real-time computing,Network deployment,Electronic engineering,Resource allocation,Optimization algorithm,Power consumption,Duplex (telecommunications),Telecommunications link
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Zhongxiang Wei13711.26
Sumei Sun21276144.61
Xu Zhu337147.63
Y. Huang4698.02
Jingjing Wang513629.50