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Model-based pilot and data power adaptation in psam with periodic delayed feedback

Model-based pilot and data power adaptation in psam with periodic delayed feedback

Lamahewa, Tharaka A., Sadeghi, Parastoo, Kennedy, Rodney A. and Rapajic, Predrag B. (2009) Model-based pilot and data power adaptation in psam with periodic delayed feedback. IEEE Transactions on Wireless Communications, 8 (5). pp. 2247-2252. ISSN 1536-1276 (doi:10.1109/TWC.2009.080526)

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Abstract

We consider the optimum design of pilot-symbol-assisted modulation (PSAM) schemes with feedback. The received signal is periodically fed back to the transmitter through a noiseless delayed link and the time-varying channel is modeled as a Gauss-Markov process. We optimize a lower bound on the channel capacity which incorporates the PSAM parameters and Kalman-based channel estimation and prediction. The parameters available for the capacity optimization are the data power adaptation strategy, pilot spacing and pilot power ratio, subject to an average power constraint. Compared to the optimized open-loop PSAM (i.e., the case where no feedback is provided from the receiver), our results show that even in the presence of feedback delay, the optimized power adaptation provides higher information rates at low signal-to-noise ratios (SNR) in medium-rate fading channels. However, in fast fading channels, even the presence of modest feedback delay dissipates the advantages of power adaptation.

Item Type: Article
Additional Information: [1] Date of Current Version : 26 May 2009. Issue Date : May 2009.
Uncontrolled Keywords: pilot-symbol-assisted modulation, time-varying fading channel, channel capacity, power adaptation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Computer & Communications Engineering
School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:
Last Modified: 14 Oct 2016 09:04
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1614

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