Post-User-Selection Quantization and Estimation of Correlated Frobenius and Spectral Channel Norms
2008 (English)In: 2008 IEEE 19TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, NEW YORK: IEEE , 2008, 2751-2756 p.Conference paper (Refereed)
This paper considers quantization and exact minimum mean square error (MMSE) estimation of the squared Frobenius norm and the squared spectral norm of a Rayleigh fading multiple-input multiple-output (MIMO) channel with one-sided spatial correlation. The Frobenius and spectral norms are of great importance when describing the achievable capacity of many wireless communication systems; in particularly, they correspond to the signal-to-noise ratio (SNR) of space-time block coded and maximum ratio combining transmissions, respectively. Herein, a general quantization framework is presented, where the quantization levels are determined to maximize the feedback entropy. Quantization based on the post-user-selection distribution is discussed, and analyzed for a specific scheduler. Finally, exact results on MMSE estimation of the capacity and the SNR, conditioned on a quantized channel norm, are presented.
Place, publisher, year, edition, pages
NEW YORK: IEEE , 2008. 2751-2756 p.
Entropy, Feedback, MIMO, Mean square error methods, Quantization, Rayleigh channels, Receiving antennas, Signal to noise ratio, Transmitters, Wireless communication
IdentifiersURN: urn:nbn:se:kth:diva-32272DOI: 10.1109/PIMRC.2008.4699922ISI: 000282721801230ScopusID: 2-s2.0-69949146838ISBN: 978-1-4244-2643-0OAI: oai:DiVA.org:kth-32272DiVA: diva2:409771
19th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
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