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Max-Min Power Control in Wireless Networks With Successive Interference Cancelation
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. University of Maryland, MD 20742 USA.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2015 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 14, no 11, 6269-6282 p.Article in journal (Refereed) PublishedText
Abstract [en]

We consider a wireless network comprising a number of cochannel (hence mutually interfering) links. We study the power control problem of maximizing the rate that all links can simultaneously support under a novel setup, where receivers have interference cancelation (IC) capabilities. The problem of allocating the transmitting power is intertwined with determining the links on which receivers can perform IC and the order of cancelations. We provide and prove the theoretical results of the problem complexity and structural properties. For the problem solution, we propose a mixed-integer linear programming framework that enables jointly determining the optimal power and the IC patterns using off-the-shelf algorithms. This allows for the accurate assessment of the potential of IC for power control. Extensive numerical results are presented for performance evaluation, demonstrating the benefit of deploying IC in power control.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2015. Vol. 14, no 11, 6269-6282 p.
Keyword [en]
Optimization; power control; successive interference cancellation; wireless networks
National Category
Telecommunications Communication Systems Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-123332DOI: 10.1109/TWC.2015.2451653ISI: 000365046100029OAI: oai:DiVA.org:liu-123332DiVA: diva2:882175
Note

Funding Agencies|Swedish Research Council (VR); Swedish Foundation of Strategic Research (SSF); Excellence Center at Linkoping-Lund in Information Technology (ELLIIT); European FP7 Marie Curie Project [324515, 329313]

Available from: 2015-12-14 Created: 2015-12-11 Last updated: 2016-08-31

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