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Outage Region Characterization for Beamforming in MISO Interference Networks with Imperfect CSI
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0001-6630-243X
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
2015 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 22, no 12, 2378-2382 p., 7286738Article in journal (Refereed) Published
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Abstract [en]

We consider an interference network with independent links, whose multi-Antenna transmitters have access to an imperfect analog estimate of their local channels. Assuming that the receivers treat the interference as noise, we define the outage rate region as the set of rate-Tuples that are achievable with a given probability and we characterize the boundary of the region for transmit beamforming. Our study shows that the Pareto-optimal beamforming vectors judiciously balance the desired signal power and the interference power based on the quality of the estimated channel state. Our analysis further reveals that, in contrast to the well-known results by Jorswieck , for the perfect channel side-information case, transmission at full power is not necessarily Pareto-optimal.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. Vol. 22, no 12, 2378-2382 p., 7286738
Keyword [en]
Array signal processing, Channel estimation, Integrated circuits, Interference, Receivers, Training, Transmitters, Beam forming networks, Beamforming, Channel capacity, Channel state information, Information retrieval, Pareto principle, Personnel training, Receivers (containers), Signal interference, Signal processing, Signal receivers, Turbo codes, Wave interference, Desired signal, Estimated channels, Interference networks, Interference power, Multi-antenna transmitters, Perfect channels, Transmit beamforming, Outages
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-186808DOI: 10.1109/LSP.2015.2484382ISI: 000362944600003Scopus ID: 2-s2.0-84960461893OAI: oai:DiVA.org:kth-186808DiVA: diva2:943083
Note

QC 20160627

Available from: 2016-06-27 Created: 2016-05-13 Last updated: 2016-06-27Bibliographically approved

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