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Spectral Efficient and Fair User Pairing for Full-Duplex Communication in Cellular Networks
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-4503-4242
KTH, School of Electrical Engineering (EES), Automatic Control. Ericsson Research.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH - Royal Intistute of Technology.
(English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248Article in journal (Refereed) In press
Abstract [en]

—A promising new transmission mode in cellular networks is the three-node full-duplex mode, which involves a base station with full-duplex capability and two half-duplex user transmissions on the same frequency channel for uplink and downlink. The three-node full-duplex mode can increase spectral efficiency, especially in the low transmit power regime, without requiring full-duplex capability at user devices. However, when a large set of users is scheduled in this mode, self-interference at the base station and user-to-user interference can substantially hinder the potential gains of full-duplex communications. This paper investigates the problem of grouping users to pairs and assigning frequency channels to each pair in a spectral efficient and fair manner. Specifically, the joint problem of user uplink/downlink frequency channel pairing and power allocation is formulated as a mixed integer nonlinear problem that is solved by a novel joint fairness assignment maximization algorithm. Realistic system level simulations indicate that the spectral efficiency of the users having the lowest spectral efficiency is increased by the proposed algorithm, while a high ratio of connected users in different loads and self-interference levels is maintained.

Place, publisher, year, edition, pages
Stockholm.
Keyword [en]
full-duplex, power control, channel assignment, spectral efficient, cellular communications
National Category
Communication Systems
Research subject
Electrical Engineering; Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-192314DOI: 10.1109/TWC.2016.2604802OAI: oai:DiVA.org:kth-192314DiVA: diva2:967628
Funder
Lars Hierta Memorial Foundation, FO20150976
Available from: 2016-09-09 Created: 2016-09-09 Last updated: 2016-09-09

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