DocumentCode :
1754010
Title :
Layered Modulation Solution Selection Algorithm for Broadcast in Future Wireless Communication Networks
Author :
Mei, Jingqing ; Ji, Hong
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
1
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
434
Lastpage :
437
Abstract :
In future wireless communication networks, layered modulation is a promising technique to provide reliable and efficient broadcast service for users with diversified wireless fading channel. However, there is a great challenge to effectively determine the modulation parameters in applications. To solve this problem, a Modulation Solution Selection (LMSS) algorithm is proposed in this work. Firstly, a modulation solution set is defined, which contains the optional modulation solutions that could yield the highest system benefits, then, based on Markov decision process, the proposed LMSS algorithm would effectively determine the modulation solution (namely the modulation scheme and power allocation scheme) for layered modulation. Numeric results prove that the proposed LMSS algorithm could achieve superior performance than conventional non-layered broadcast mechanism.
Keywords :
Markov processes; broadcast channels; fading channels; modulation; radio networks; telecommunication network reliability; Markov decision process; broadcast service; conventional nonlayered broadcast mechanism; layered modulation solution selection algorithm; modulation parameter; modulation solution selection algorithm; wireless communication network; wireless fading channel; Bit error rate; Fading; Markov processes; Modulation; Resource management; Signal to noise ratio; Wireless communication; broadcast service; layered modulation; markov decision process; wireless communication network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.121
Filename :
5750551
Link To Document :
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