DocumentCode
1709970
Title
Unified framework for congestion and fading analysis and Backoff exponent computation in cognitive green networks
Author
Sakraoui, Mohamed Amine ; Hayar, Aawatif ; Sadik, Mohamed ; Øien, Geir E. ; Wang, Changmian
Author_Institution
GREENTIC/ENSEM, RTSE Lab., Hassan II Univ., Casablanca, Morocco
fYear
2012
Firstpage
601
Lastpage
605
Abstract
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.
Keywords
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; Cognitive radio; Cross layer design; Fading; Multiaccess communication; Receivers; Sensors; Standards; CSMA/CA; backoff exponent; blind spectrum sensing; cross layer design; energy efficiency; rayleigh fading;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communication Systems (ISWCS), 2012 International Symposium on
Conference_Location
Paris
ISSN
2154-0217
Print_ISBN
978-1-4673-0761-1
Electronic_ISBN
2154-0217
Type
conf
DOI
10.1109/ISWCS.2012.6328438
Filename
6328438
Link To Document