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Optimal transmit strategy for MIMO channels with joint sum and per-antenna power constraints
KTH, School of Electrical Engineering (EES), Information Science and Engineering.ORCID iD: 0000-0002-0108-0749
KTH, School of Electrical Engineering (EES), Information Science and Engineering.
2017 (English)In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2017Conference paper, (Refereed)
Abstract [en]

This paper studies optimal transmit strategies for multiple-input multiple-output (MIMO) Gaussian channels with joint sum and per-antenna power constraints. It is shown that if an unconstraint optimal allocation for an antenna exceeds a per-antenna power constraint, then the maximal power for this antenna is used in the constraint optimal transmit strategy. This observation is then used in an iterative algorithm to compute the optimal transmit strategy in closed-form. Finally, a numerical example is provided to illustrate the theoretical results.

Place, publisher, year, edition, pages
IEEE, 2017.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-209931DOI: 10.1109/ICASSP.2017.7952821OAI: oai:DiVA.org:kth-209931DiVA: diva2:1115269
Conference
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5-9 March 2017, New Orleans, LA, USA
Note

QC 20170627

Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2017-06-27Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
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