Paper Info
Title
Multi-Objective Optimization for Power Efficient Full-Duplex Wireless Communication Systems
Abstract
In this paper, we investigate power efficient resource allocation algorithm design for multiuser wireless communication systems employing a full-duplex (FD) radio base station for serving multiple half-duplex (HD) downlink and uplink users simultaneously. We propose a multi-objective optimization framework for achieving two conflicting yet desirable system design objectives, i.e., total downlink transmit power minimization and total uplink transmit power minimization, while guaranteeing the quality-of-service of all users. To this end, the weighted Tchebycheff method is adopted to formulate a multi-objective optimization problem (MOOP). Although the considered MOOP is non-convex, we solve it optimally by semidefinite programming relaxation. Simulation results not only unveil the trade-off between the total downlink and the total uplink transmit power, but also confirm that the proposed FD system provides substantial power savings over traditional HD systems.
Year
DOI
Venue
2015
10.1109/GLOCOM.2015.7416961
2015 IEEE Global Communications Conference (GLOBECOM)
Keywords
Field
DocType
power efficient resource allocation algorithm design,multiuser wireless communication systems,full-duplex radio base station,multiple half-duplex downlink users,uplink users,total downlink transmit power minimization,total uplink transmit power minimization,quality-of-service,weighted Tchebycheff method,multiobjective optimization problem,MOOP,semidefinite programming relaxation
Mathematical optimization,Transmitter power output,Wireless,Computer science,MIMO,Systems design,Multi-objective optimization,Real-time computing,Optimization problem,Telecommunications link,Duplex (telecommunications)
Journal
Volume
ISSN
Citations 
abs/1503.06021
2334-0983
5
PageRank 
References 
Authors
0.48
10
3
Name
Order
Citations
PageRank
Yan Lindsay Sun17510.41
Derrick Wing Kwan Ng23588189.08
Robert Schober350.48