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Robust joint optimization of MIMO two-way relay channels with imperfect CSI
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2011 (English)Conference paper (Refereed)
Abstract [en]

In this paper we deal with the problem of the joint optimization of the precoders, equalizers and relay beamformer of a multiple-input multiple-output two-way relay channel. Unlike the conventional design procedures, we assume that the Channel State Information (CSI) is not known perfectly. The imperfect CSI is described using the norm bounded error framework. We use a system-wide Sum Mean Square Error (SMSE) based problem formulation which is constrained using the transmit power of the terminals and the relay node. The problem at hand, from a worst-case design perspective, is a multilinear, and hence, a nonconvex problem which is also semi-infinite in its constraints. We use a generalized version of the Peterson's lemma to handle the semi-infiniteness and reduce the original problem to a single Linear Matrix Inequality (LMI). However, this LMI is not convex, and to resolve this issue we propose an iterative algorithm based on the alternating convex search methodology to solve the aforementioned problem. Finally simulation results are included to asses the performance of the proposed algorithm.

Place, publisher, year, edition, pages
2011. 1657-1664 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-129059DOI: 10.1109/Allerton.2011.6120368ISBN: 978-1-4577-1817-5OAI: oai:DiVA.org:liu-129059DiVA: diva2:935043
Conference
Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on. 28-30 Sept. 2011, Monticello, IL
Available from: 2016-06-09 Created: 2016-06-09 Last updated: 2016-06-27

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Gharavol, EbrahimErik G., Larsson
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Communication SystemsFaculty of Science & Engineering
Signal Processing

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ReferencesLink to record
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