Chynonova M, Morsi R, Ng DWK, Schober R (2015)
Publication Status: Published
Publication Type: Conference contribution
Publication year: 2015
Pages Range: 1989-1993
Event location: Nice, France
ISBN: 978-0-9928-6263-3
URI: https://ieeexplore.ieee.org/document/7362732/
DOI: 10.1109/EUSIPCO.2015.7362732
In this paper, we study the downlink multiuser scheduling problem for systems with simultaneous wireless information and power transfer (SWIPT). We design optimal scheduling algorithms that maximize the long-term average system throughput under different fairness requirements, such as proportional fairness and equal throughput fairness. In particular, the algorithm designs are formulated as non-convex optimization problems which take into account the minimum required average sum harvested energy in the system. The problems are solved by using convex optimization techniques and the proposed optimization framework reveals the tradeoff between the long-term average system throughput and the sum harvested energy in multiuser systems with fairness constraints. Simulation results demonstrate that substantial performance gains can be achieved by the proposed optimization framework compared to existing suboptimal scheduling algorithms from the literature.
APA:
Chynonova, M., Morsi, R., Ng, D.W.K., & Schober, R. (2015). OPTIMAL MULTIUSER SCHEDULING SCHEMES FOR SIMULTANEOUS WIRELESS INFORMATION AND POWER TRANSFER. In IEEE (Eds.), Proceedings of the EUSIPCO (pp. 1989-1993). Nice, France.
MLA:
Chynonova, Maryna, et al. "OPTIMAL MULTIUSER SCHEDULING SCHEMES FOR SIMULTANEOUS WIRELESS INFORMATION AND POWER TRANSFER." Proceedings of the EUSIPCO, Nice, France Ed. IEEE, 2015. 1989-1993.
BibTeX: Download