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On the expected rate of slowly fading channels with quantized side information
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2007 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 55, no 4, 820-829 p.Article in journal (Refereed) Published
Abstract [en]

We study a multiple-layer variable-rate system employing quantized feedback to maximize the expected rate over a single-input single-output slowly fading Gaussian channel. The transmitter uses partial channel-state information, which is obtained via an optimized resolution-constrained feedback link, to adapt the power and to assign code layer rates, subject to different power constraints. To systematically design the system parameters, we develop a simple iterative algorithm that successfully exploits results in the study of parallel broadcast channels. We present the necessary and sufficient conditions for single-layer coding to be optimal, irrespective of the number of code layers that the system can afford. Unlike in the ergodic case, even coarsely quantized feed-back is shown to improve the expected rate considerably. Our results also indicate that with as little as one bit of feedback information, the role of multilayer coding reduces significantly.

Place, publisher, year, edition, pages
IEEE Communications Society , 2007. Vol. 55, no 4, 820-829 p.
Keyword [en]
broadcast channels, fading channels, feedback communications, information rates, power control, multiple-antenna systems, coded modulation, feedback, capacity, power, transmission
National Category
URN: urn:nbn:se:kth:diva-16586DOI: 10.1109/TCOMM.2007.894115ISI: 000246034300021ScopusID: 2-s2.0-34247180035OAI: diva2:334628
QC 20100525 QC 20111214Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2011-12-14Bibliographically approved
In thesis
1. Quantized Feedback for Slow Fading Channels
Open this publication in new window or tab >>Quantized Feedback for Slow Fading Channels
2006 (English)Licentiate thesis, comprehensive summary (Other scientific)
Abstract [en]

Two topics in fading channels with a strict delay constraint and a resolution-constrained feedback link are treated in this thesis.

First, a multi-layer variable-rate single-antenna communication system with quantized feedback, where the expected rate is chosen as the performance measure, is studied under both short-term and long-term power constraints. Iterative algorithms exploiting results in the literature of parallel broadcast channels are developed to design the system parameters. A necessary and sufficient condition for single-layer coding to be optimal is derived. In contrast to the ergodic case, it is shown that a few bits of feedback information can improve the expected rate dramatically. The role of multi-layer coding, however, reduces quickly as the resolution of the feedback link increases.

The other part of the thesis deals with partial power control systems utilizing quantized feedback to minimize outage probability, with an emphasis on the diversity-multiplexing tradeoff. An index mapping with circular structure is shown to be optimal and the design is facilitated with a justified Gaussian approximation. The diversity gain as a function of the feedback resolution is analyzed. The results are then extended to characterize the entire diversity-multiplexing tradeoff curve of multiple-antenna channels with resolution-constrained feedback. Adaptive-rate communication is also studied, where the concept of minimum multiplexing gain is introduced. It is shown that the diversity gain of a system increases significantly even with coarsely quantized feedback, especially at low multiplexing gains.

Place, publisher, year, edition, pages
Stockholm: KTH, 2006. vi, 21 p.
Trita-EE, ISSN 1653-5146 ; 2006:011
Fading channels, information rates, feedback communications, diversity methods, MIMO systems, power control, adaptive systems, quantization.
National Category
urn:nbn:se:kth:diva-3952 (URN)
2006-05-24, Q2, Osquldas väg 10, KTH, Stockholm, 13:00
QC 20101117Available from: 2006-05-11 Created: 2006-05-11 Last updated: 2010-11-17Bibliographically approved

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