Title | ||
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Unified framework for congestion and fading analysis and Backoff exponent computation in cognitive green networks |
Abstract | ||
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In the context of green technology, we propose in this work1 a new channel access method for wireless systems to reduce energy consumption. This method uses the concept of Cross Layer Design and cognitive radio blind sensing techniques to formulate a unified framework for congestion and fading analysis as well as Backoff exponent computation. It allows to acquire from the physical layer the information on the channel state using a blind spectrum sensing. Then the link layer, based on this information, detects congestion or fading situation and decides whether to transmit data or to wait. The objective of the proposed method is to achieve both high frame success rate and high energy efficiency by avoiding unsuccessful transmissions due to bad channel state. Comparaison with others published techniques shows that the proposed technique provide better results. |
Year | DOI | Venue |
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2012 | 10.1109/ISWCS.2012.6328438 | Wireless Communication Systems |
Keywords | Field | DocType |
Markov processes,cognitive radio,environmental factors,Markov chain,backoff exponent computation,blind spectrum sensing,channel access method,channel state,cognitive green networks,cognitive radio blind sensing techniques,congestion detection,cross layer design,energy consumption reduction,energy efficiency,fading analysis,frame success rate,green technology,link layer,physical layer,unified framework,wireless systems,CSMA/CA,backoff exponent,blind spectrum sensing,cross layer design,energy efficiency,rayleigh fading | Rayleigh fading,Computer science,Fading,Communication channel,Computer network,Real-time computing,Link layer,Physical layer,Carrier sense multiple access with collision avoidance,Channel access method,Cognitive radio | Conference |
ISSN | ISBN | Citations |
2154-0217 E-ISBN : 978-1-4673-0760-4 | 978-1-4673-0760-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohamed Amine Sakraoui | 1 | 0 | 0.34 |
Aawatif Hayar | 2 | 92 | 12.12 |
Mohamed Sadik | 3 | 6 | 9.34 |
Geir E. Øien | 4 | 381 | 43.38 |
Changmian Wang | 5 | 8 | 2.36 |