DocumentCode :
1430725
Title :
Optimal Bit and Power Loading for Amplify-and-Forward Cooperative OFDM Systems
Author :
Amin, Osama ; Uysal, Murat
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Volume :
10
Issue :
3
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
772
Lastpage :
781
Abstract :
In this paper, we investigate bit and power allocation strategies for an orthogonal frequency division multiplexing (OFDM) cooperative network over frequency-selective fading channels. We assume amplify-and-forward relaying and consider the bit error rate (BER) performance as our performance measure. Aiming to optimize the BER under total power constraint and for a given average data rate, we propose three adaptive algorithms; optimal power loading (OPL), optimal bit loading (OBL), and optimal joint bit and power loading (OBPL). Our Monte Carlo simulation results demonstrate performance gains through adaptive bit and power loading over conventional non-adaptive systems as well as currently available adaptive cooperative scheme in the literature. The impact of practical issues on the performance of proposed adaptive schemes such as imperfect channel estimation and limited feedback is further discussed.
Keywords :
Monte Carlo methods; OFDM modulation; amplify and forward communication; channel estimation; cooperative communication; error statistics; fading channels; BER; Monte Carlo simulation; adaptive cooperative scheme; amplify-and-forward cooperative OFDM systems; bit error rate performance; channel estimation; frequency-selective fading channels; optimal bit loading; optimal power loading; orthogonal frequency division multiplexing; power allocation strategies; total power constraint; OFDM; amplify-and-forward relaying; bit allocation; cooperative network; power allocation;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2011.011111.091233
Filename :
5692975
Link To Document :
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