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Optimal Pilot and Payload Power Control in Single-Cell Massive MIMO Systems
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..
2017 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 65, no 9, p. 2363-2378Article in journal (Refereed) Published
Abstract [en]

This paper considers the jointly optimal pilot and data power allocation in single-cell uplink massive multiple-input-multiple- output systems. Using the spectral efficiency (SE) as performance metric and setting a total energy budget per coherence interval, the power control is formulated as optimization problems for two different objective functions: the weighted minimum SE among the users and the weighted sum SE. A closed form solution for the optimal length of the pilot sequence is derived. The optimal power control policy for the former problem is found by solving a simple equation with a single variable. Utilizing the special structure arising from imperfect channel estimation, a convex reformulation is found to solve the latter problem to global optimality in polynomial time. The gain of the optimal joint power control is theoretically justified, and is proved to be large in the low-SNR regime. Simulation results also show the advantage of optimizing the power control over both pilot and data power, as compared to the cases of using full power and of only optimizing the data powers as done in previous work.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2017. Vol. 65, no 9, p. 2363-2378
Keywords [en]
Massive MIMO, power control, power allocation, convex optimization
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295908DOI: 10.1109/TSP.2016.2641381ISI: 000395877600013Scopus ID: 2-s2.0-85017516922OAI: oai:DiVA.org:kth-295908DiVA, id: diva2:1664023
Note

QC 20220620

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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