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Feedback reduction in uplink MIMO OFDM systems by chunk optimization
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
Information Systems Laboratory Stanford University, USA.
Information Systems Laboratory Stanford University, USA.
2008 (English)In: 2008 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, PROCEEDINGS, 2008, 4348-4352 p.Conference paper, Published paper (Refereed)
Abstract [en]

The performance of multiuser MIMO systems can be significantly increased by channel aware scheduling and signal processing at the transmitters based on channel state information. In the multiple-antenna uplink multi-carrier scenario, the base station decides centrally on the optimal signal processing and spectral power allocation as well as scheduling. An interesting challenge is the reduction of the overhead in order to inform the mobiles about their transmit strategies. In this work, we propose to reduce the feedback by chunk processing and quantization. We maximize the weighted sum rate of a MIMO OFDM MAC under individual power constraints and chunk size constraints. An efficient iterative algorithm is developed and convergence proved. The feedback overhead as a function of the chunk size is considered in the rate computation and the optimal chunk size is determined by numerical simulations for various channel models. Finally, the issues of finite modulation and coding schemes as well as quantization of the precoding matrices are addressed.

Place, publisher, year, edition, pages
2008. 4348-4352 p.
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keyword [en]
Base stations, Channel state information, Convergence, Feedback, Iterative algorithms, MIMO, OFDM, Quantization, Signal processing, Transmitters
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-34909DOI: 10.1109/ICC.2008.816ISI: 000259505003056Scopus ID: 2-s2.0-51249120731ISBN: 978-1-4244-2074-2 (print)OAI: oai:DiVA.org:kth-34909DiVA: diva2:428706
Conference
IEEE International Conference on Communications (ICC 2008) Beijing, PEOPLES R CHINA, MAY 19-23, 2008
Note
QC 20110701Available from: 2011-07-01 Created: 2011-06-17 Last updated: 2012-05-24Bibliographically approved

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Ottersten, Björn

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