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Distributed Spectral Efficiency Maximization in Full-Duplex 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.
2016 (English)In: IEEE International Conference on Communication (ICC16): Workshop on Novel Medium Access and Resource Allocation for 5G Networks, Kuala Lumpur: IEEE Communications Society, 2016Conference paper (Refereed)
Abstract [en]

Three-node full-duplex is a promising new transmission mode between a full-duplex capable wireless node and two other wireless nodes that use half-duplex transmission and reception respectively. Although three-node full-duplex transmissions can increase the spectral efficiency without requiring full-duplex capability of user devices, inter-node interference - in addition to the inherent self-interference - can severely degrade the performance. Therefore, as methods that provide effective self-interference mitigation evolve, the management of inter-node interference is becoming increasingly important. This paper considers a cellular system in which a full-duplex capable base station serves a set of half-duplex capable users. As the spectral efficiencies achieved by the uplink and downlink transmissions are inherently intertwined, the objective is to device channel assignment and power control algorithms that maximize the weighted sum of the uplink-downlink transmissions. To this end a distributed auction based channel assignment algorithm is proposed, in which the scheduled uplink users and the base station jointly determine the set of downlink users for full-duplex transmission. Realistic system simulations indicate that the spectral efficiency can be up to 89% better than using the traditional half-duplex mode. Furthermore, when the self-interference cancelling level is high, the impact of the user-to-user interference is severe unless properly managed.

Place, publisher, year, edition, pages
Kuala Lumpur: IEEE Communications Society, 2016.
Keyword [en]
full-duplex, distributed algorithms, cellular networks, auction theory
National Category
Research subject
Electrical Engineering; Information and Communication Technology
URN: urn:nbn:se:kth:diva-188973Archive number: 1603.00671OAI: diva2:942366
Lars Hierta Memorial Foundation, FO20150976

QC 20160628

Available from: 2016-06-23 Created: 2016-06-23 Last updated: 2016-06-29Bibliographically approved

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