Pilot clustering in asymmetric massive MIMO networks
2015 (English)In: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, IEEE conference proceedings, 2015, 231-235 p.Conference paper (Refereed)Text
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
IEEE conference proceedings, 2015. 231-235 p.
Contamination, Games, Interference, MIMO, Stability analysis, Uplink, Wireless communication, Cells, Complex networks, Computational complexity, Cytology, Game theory, MIMO systems, Wave interference, Wireless telecommunication systems, Algorithmic convergences, Coalitional game theory, Pilot contaminations, Spectral efficiencies, Wireless communications, Signal processing
IdentifiersURN: urn:nbn:se:kth:diva-181183DOI: 10.1109/SPAWC.2015.7227034ISI: 000380547100047ScopusID: 2-s2.0-84953396658ISBN: 9781479919307OAI: oai:DiVA.org:kth-181183DiVA: diva2:902301
16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015, 28 June 2015 through 1 July 2015
QC 201602102016-02-102016-01-292016-09-05Bibliographically approved