Paper Info
Title
Energy-efficient Training-assisted Transmission Strategies for Closed-loop MISO Systems
Abstract
This paper studies energy-efficient transmission strategies for a closed-loop downlink multi-input single-output (MISO) system, where a communication period consists of three phases for uplink training, downlink data sending and base station (BS) idling. For both delay-tolerant and delay-sensitive services, the durations of the three phases are optimized aimed at maximizing the energy efficiency (EE) of the system. To this end, we derive the approximate average net spectrum efficiency (SE) and outage probability with imperfect uplink channel estimation, which are used to characterize the quality of service (QoS) requirements for the two kinds of services, respectively. The impact of QoS requirement, signal-to-noise ratio and circuit power consumption on the optimal transmission durations is analyzed. For delay-tolerant services, analytical results show that the EE-oriented design leads to a longer training duration than the SE-oriented design in general. For delay-sensitive services, it is shown that introducing BS idling is crucial to improve the EE. The challenges and opportunities of applying the proposed transmission strategies in current and future cellular systems are discussed, and the transmission strategies are extended from single-user single-service to multi-user mixed-service scenarios. Simulation results demonstrate the significant EE gain of the EE-oriented design over the SE-oriented design in both singleuser and multi-user scenarios.
Year
DOI
Venue
2015
10.1109/TVT.2014.2352646
Vehicular Technology, IEEE Transactions  
Keywords
Field
DocType
energy conservation,feedback control,quality of service,se,approximation theory,base station,uplink,signal to noise ratio,transmission,downlink,input output devices
Base station,Energy conservation,Efficient energy use,Computer science,Signal-to-noise ratio,Quality of service,Input/output,Electronic engineering,Spectral efficiency,Telecommunications link
Journal
Volume
Issue
ISSN
PP
99
0018-9545
Citations 
PageRank 
References 
0
0.34
21
Authors
3
Name
Order
Citations
PageRank
Xiaoyan Liu110919.35
Shengqian Han231224.78
Chenyang Yang32111141.51