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Does fast adaptive modulation always outperform slow adaptive modulation?

Toni, L; Conti, A; (2011) Does fast adaptive modulation always outperform slow adaptive modulation? IEEE Transactions on Wireless Communications , 10 (5) pp. 1504-1513. 10.1109/TWC.2011.020111.100643. Green open access

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Abstract

Link adaptation techniques are important modern and future wireless communication systems to cope with quality of service fluctuations in fading channels. These techniques require the knowledge of the channel state obtained with a portion of resources devoted to channel estimation instead of data and updated every coherence time of the process to be tracked. In this paper, we analyze fast and slow adaptive modulation systems with diversity and non-ideal channel estimation under energy constraints. The framework enables to address the following questions: (i) What is the impact of non-ideal channel estimation on fast and slow adaptive modulation systems? (ii) How to define a proper figure of merit which considers both resources dedicated to data and those to channel estimation? (iii) Does fast adaptive always outperform slow adaptive techniques? Our analysis shows that, despite the lower complexity and feedback rate, slow adaptive modulation (SAM) can achieve higher spectral efficiency than fast adaptive modulation (FAM) in the presence of energy constraint, diversity, and non-ideal channel estimation. In addition, SAM satisfies bit error outage requirements also in FAM-denied region.

Type: Article
Title: Does fast adaptive modulation always outperform slow adaptive modulation?
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TWC.2011.020111.100643
Publisher version: http://doi.org/10.1109/TWC.2011.020111.100643
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: performance evaluation, Adaptive modulation, multichannel reception, channel estimation, fading channels
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1533101
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