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Optimal MIMO Precoding Under a Constraint on the Amplifier Power Consumption
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Qamcom Res and Technol AB, Sweden.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2019 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 67, no 1, p. 218-229Article in journal (Refereed) Published
Abstract [en]

The capacity of the MIMO channel taking into account both a limitation on total consumed power, and per-antenna radiated power constraints is considered. The total consumed power takes into account the traditionally used sum radiated power, and also the power dissipation in the amplifiers. For a fixed channel with full CSI at both the transmitter and the receiver, maximization of the mutual information is formulated as an optimization problem. Lower and upper bounds on the capacity are provided by numerical algorithms based on partitioning of the feasible region. Both bounds are shown to converge and give the exact capacity when number of regions increases. The bounds are also used to construct a monotonic optimization algorithm based on the branch-and-bound approach. An efficient suboptimal algorithm based on successive convex approximation performing close to the capacity is also presented. Numerical results show that the performance of the solution obtained from the suboptimal algorithm is close to that of the global optimal solution. Simulation results also show that in the low SNR regime, antenna selection provides performance that is close to the optimal scheme while at high SNR, uniform power allocation performs close to the optimal scheme.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 67, no 1, p. 218-229
Keywords [en]
MIMO capacity; power amplifier; consumed power constraint; per-antenna power constraint
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-154707DOI: 10.1109/TCOMM.2018.2869570ISI: 000457304400018OAI: oai:DiVA.org:liu-154707DiVA, id: diva2:1292627
Note

Funding Agencies|Swedish Research Council (VR); ELLIIT; CENIIT project "Power Amplifiers and Massive MIMO"

Available from: 2019-02-28 Created: 2019-02-28 Last updated: 2019-06-04

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