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A Network-Assisted Game-Theoretic Design to Power Control in Autoregressive Fading Channels
Univ Fed Ceara, Wireless Telecom Res Grp GTEL, BR-60455760 Fortaleza, Ceara, Brazil..
Univ Fed Ceara, Wireless Telecom Res Grp GTEL, BR-60455760 Fortaleza, Ceara, Brazil..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Ericsson Res, S-16480 Stockholm, Sweden..ORCID iD: 0000-0002-2289-3159
Univ Fed Ceara, Wireless Telecom Res Grp GTEL, BR-60455760 Fortaleza, Ceara, Brazil..
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2022 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 26, no 7, p. 1663-1667Article in journal (Refereed) Published
Abstract [en]

Several previous works have proposed game-theoretic approaches to controlling the pilot and data power levels in the uplink of both single and multi-cell multi-user multiple input multiple output (MU-MIMO) systems. Unfortunately, the vast majority of existing works design these power control schemes under the assumption that the wireless channels between the mobile terminals and the serving base station are block fading. Meanwhile, several letters have shown that modeling fast fading channels as autoregressive (AR) processes with known or estimated state transition matrices give much more accurate results than those suggested by block fading models. Thus, this letter proposes a game-theoretic approach to controlling the uplink pilot and data power levels in a MU-MIMO system, in which the wireless channels are AR processes with mobile terminal-specific state transition matrices. We find that the proposed approach outperforms a classical cellular path-loss compensating fractional power control scheme and a game-theoretic power control scheme designed for block fading channels.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 26, no 7, p. 1663-1667
Keywords [en]
Power control, Fading channels, Channel estimation, Uplink, Symbols, Long Term Evolution, Wireless communication, MU-MIMO, game theory, autoregressive processes, nonconvex optimization
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-316926DOI: 10.1109/LCOMM.2022.3167367ISI: 000838550100047Scopus ID: 2-s2.0-85128658104OAI: oai:DiVA.org:kth-316926DiVA, id: diva2:1693620
Note

QC 20220907

Available from: 2022-09-07 Created: 2022-09-07 Last updated: 2022-09-07Bibliographically approved

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Fodor, Gabor

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