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Pilot Clustering in Asymmetric Massive MIMO Networks
KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-0995-9835
Linköping University, Sweden.
KTH Royal Institute of Technology, Sweden.
2015 (English)In: 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015, p. 231-235Conference paper, Published paper (Refereed)
Abstract [en]

We consider the uplink of a cellular massive MIMO network. Since the spectral efficiency of these networks is limited by pilot contamination, the pilot allocation across cells is of paramount importance. However, finding efficient pilot reuse patterns is non-trivial especially in practical asymmetric base station deployments. In this paper, we approach this problem using coalitional game theory. Each cell has its own unique pilots and can form coalitions with other cells to gain access to more pilots. We develop a low-complexity distributed algorithm and prove convergence to an individually stable coalition structure. Simulations reveal fast algorithmic convergence and substantial performance gains over one-cell coalitions and full pilot reuse.

Place, publisher, year, edition, pages
2015. p. 231-235
Series
IEEE International Workshop on Signal Processing Advances in Wireless Communications
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-55562DOI: 10.1109/SPAWC.2015.7227034OAI: oai:DiVA.org:ri-55562DiVA, id: diva2:1582695
Conference
2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Available from: 2021-08-03 Created: 2021-08-03 Last updated: 2023-06-07Bibliographically approved

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Mochaourab, Rami

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