DocumentCode
560420
Title
An Adaptive Modulation Selection Scheme Based on Error Estimating Coding
Author
Li, Qing ; Li, Bin ; Liu, Yu ; Zhang, Lin
Author_Institution
Lab. of Adv. Network Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
330
Lastpage
334
Abstract
Adaptive modulation selection plays an important role in wireless communication and wireless sensor network since the wireless channel condition is time-varying due to some factors e.g. path-loss and multipath propagation. Therefore, using one modulation type cannot fulfill all the channel conditions and receivers. Conventional adaptive modulation selection schemes are based on packet loss statistics or SNR measurement. However, all of these methods are indirect approaches because they utilize the packet loss rate or SNR information to estimate the BER approximately and the modulation selection that based on these approximate results is not exactly. Therefore, in this paper, we propose to utilize the error estimating code (EEC) which directly represents the BER information to realize a new adaptive modulation selection scheme. Compared to traditional adaptive modulation type selection schemes, our scheme needs only a small amount of overhead and very little computational cost for the same performance.
Keywords
adaptive modulation; error correction codes; error statistics; radiowave propagation; telecommunication channels; wireless sensor networks; BER; EEC; SNR measurement; adaptive modulation selection; error estimating coding; multipath propagation; wireless channel; wireless communication; wireless sensor network; Bit error rate; Encoding; Estimation; Loss measurement; Phase shift keying; Signal to noise ratio; bit error rate (BER); error estimating coding; modulation adaption;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Ad-hoc and Sensor Networks (MSN), 2011 Seventh International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4577-2178-6
Type
conf
DOI
10.1109/MSN.2011.14
Filename
6117432
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