He, Yuanyuan and Dey, Subhrakanti (2009) Efficient algorithms for outage minimization in parallel fading channels with limited feedback. In: 2009 47th Annual Allerton Conference on Communication, Control, and Computing. IEEE, pp. 762-770. ISBN 9781424458707

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Abstract

In this paper, we address the optimal power allocation problem for minimizing the notion of information theoretic outage for an M parallel block-Rayleigh-fading channels using a finite rate power codebook (limited feedback). In contrast to the existing literature on outage minimization for MIMO systems with limited feedback, we derive effective approximations to the channel quantization regions in order to design a number of low-complexity power allocation algorithms for various ranges of average power constraints. Unlike previous work, we show that it is not generally optimal to allocate same power to all channels, and that this is only asymptotically optimal at high average power (average SNR). We also derive a suitable Gaussian approximation based power allocation scheme for large number of parallel channels which has important practical applications in multi-carrier systems such as OFDM. Extensive numerical results illustrate that only a few bits of feedback (for M = 4 or M = 6) closes the gap substantially in outage performance with the full instantaneous channel information at the transmitter. For large number of channels, less than 1 bit of (broadcast) feedback per channel can achieve the same outage probability (10 -4 ) with approximately only a 2.5 dB average power (or average SNR) gap.

Item Type:	Book Section
Additional Information:	Cite as: Y. Y. He and S. Dey, "Efficient algorithms for outage minimization in parallel fading channels with limited feedback," 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2009, pp. 762-770, doi: 10.1109/ALLERTON.2009.5394939.
Keywords:	Efficient; algorithms; outage; minimization; parallel fading channels; limited feedback;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14475
Identification Number:	https://doi.org/10.1109/ALLERTON.2009.5394939
Depositing User:	Subhrakanti Dey
Date Deposited:	31 May 2021 14:40
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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