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Adaptive Pilot Clustering in Heterogeneous Massive MIMO Networks
KTH Royal Institute Technology, Sweden.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
KTH Royal Institute Technology, Sweden.
2016 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 15, no 8, 5555-5568 p.Article in journal (Refereed) Published
Abstract [en]

We consider the uplink of a cellular massive multiple-input multiple-output network. Acquiring channel state information at the base stations (BSs) requires uplink pilot signaling. Since the number of orthogonal pilot sequences is limited by the channel coherence, pilot reuse across cells is necessary to achieve high spectral efficiency. However, finding efficient pilot reuse patterns is non-trivial, especially in practical asymmetric BS deployments. We approach this problem using the coalitional game theory. Each BS has a few unique pilots and can form coalitions with other BSs to gain access to more pilots. The BSs in a coalition, thus, benefit from serving more users in their cells at the expense of higher pilot contamination and interference. Given that a cells average spectral efficiency depends on the overall pilot reuse pattern, the suitable coalitional game model is in the partition form. We develop a low-complexity distributed coalition formation based on individual stability. By incorporating a BS intercommunication budget constraint, we are able to control the overhead in message exchange between the BSs and ensure the algorithms convergence to a solution of the game called individually stable coalition structure. Simulation results reveal fast algorithmic convergence and substantial performance gains over the baseline schemes with no pilot reuse, full pilot reuse, or random pilot reuse pattern.

Place, publisher, year, edition, pages
Keyword [en]
Massive MIMO networks; spectral efficiency; pilot contamination; coalitional game theory
National Category
URN: urn:nbn:se:liu:diva-131697DOI: 10.1109/TWC.2016.2561289ISI: 000381509900031OAI: diva2:1010364
16th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Available from: 2016-10-03 Created: 2016-09-30 Last updated: 2016-10-03

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Björnson, Emil
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