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A Game Theoretic Approach to Setting the Pilot Power Ratio in Multi-User MIMO Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Network and Systems engineering. KTH Royal Inst Technol, S-11428 Stockholm, Sweden..ORCID iD: 0000-0001-6027-5469
Ericsson Res, S-16480 Stockholm, Sweden..
Budapest University of Technology and Economics, Budapest, Hungary.
MTA BME Informat Syst Res Grp, H-1117 Budapest, Hungary.
2018 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 66, no 3, p. 999-1012Article in journal (Refereed) Published
Abstract [en]

We consider the uplink of a single cell multi-user multiple input multiple output (MU-MIMO) system, in which the base station acquires channel state information at the receiver by means of uplink pilot signals. Since each mobile station has a sum power budget that is used to transmit pilot and data symbols, the pilot power ratio (PPR) has a large impact on the system performance in terms of spectral and energy efficiency. We formulate the problem of PPR setting as a non-cooperative game, in which each mobile station aims at minimizing the mean squared error of the uplink received data symbols at the base station. We show that in this game a unique Nash equilibrium exists, and propose an iterative decentralized algorithm-termed best PPR algorithm (BPA)-that is guaranteed to converge to that Nash equilibrium. Since BPA dynamically responds to the measured interference, it outperforms widely used schemes that use a predetermined PPR. BPA also performs close to the global optimum, especially when mobile stations with similar path loss values are co-scheduled in the MU-MIMO system. Based on these insights, we propose a practical signaling mechanism for implementing BPA in MU-MIMO systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 66, no 3, p. 999-1012
Keyword [en]
MIMO systems, power control, game theory, mean square error methods, Gaussian channels
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-227239DOI: 10.1109/TCOMM.2017.2778094ISI: 000427678000008OAI: oai:DiVA.org:kth-227239DiVA, id: diva2:1205451
Note

QC 20180514

Available from: 2018-05-14 Created: 2018-05-14 Last updated: 2018-05-14Bibliographically approved

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