Multi-Objective Optimization for Power Efficient Full-Duplex Wireless Communication Systems
Sun Y, Ng DWK, Schober R (2015)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution
Publication year: 2015
Journal
Event location: San Diego, CA, USA
ISBN: 978-1-4799-5952-5
DOI: 10.1109/GLOCOM.2015.7416961
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.
Authors with CRIS profile
Yan Sun
Lehrstuhl für Digitale Übertragung (IDC)
Robert Schober
Lehrstuhl für Digitale Übertragung (IDC)
Involved external institutions
Australia (AU)How to cite
APA:
Sun, Y., Ng, D.W.K., & Schober, R. (2015). Multi-Objective Optimization for Power Efficient Full-Duplex Wireless Communication Systems. In IEEE (Eds.), Proceedings of the Global Communications Conference (GLOBECOM). San Diego, CA, USA, US.
MLA:
Sun, Yan, Derrick Wing Kwan Ng, and Robert Schober. "Multi-Objective Optimization for Power Efficient Full-Duplex Wireless Communication Systems." Proceedings of the Global Communications Conference (GLOBECOM), San Diego, CA, USA Ed. IEEE, 2015.
BibTeX: Download