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Interference Alignment-Aided Base Station Clustering using Coalition Formation
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7724-5896
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-0995-9835
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
2015 (English)In: Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA: IEEE conference proceedings, 2015Conference paper, Published paper (Refereed)
Abstract [en]

Base station clustering is necessary in large interference networks, where the channel state information (CSI) acquisition overhead otherwise would be overwhelming. In this paper, we propose a novel long-term throughput model for the clustered users which addresses the balance between interference mitigation capability and CSI acquisition overhead. The model only depends on statistical CSI, thus enabling long-term clustering. Based on notions from coalitional game theory, we propose a low-complexity distributed clustering method. The algorithm converges in a couple of iterations, and only requires limited communication between base stations. Numerical simulations show the viability of the proposed approach.

Place, publisher, year, edition, pages
Pacific Grove, CA, USA: IEEE conference proceedings, 2015.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-176933DOI: 10.1109/ACSSC.2015.7421307ISI: 000380471900196Scopus ID: 2-s2.0-84969799140OAI: oai:DiVA.org:kth-176933DiVA: diva2:869104
Conference
49th Asilomar Conference on Signals, Systems and Computers, November 8-11th, 2015, Pacific Grove,Calif. USA
Note

2nd Prize, Student Paper Contest.

QC 20151113

Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2016-09-05Bibliographically approved

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Brandt, RasmusMochaourab, RamiBengtsson, Mats

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