DocumentCode :
263973
Title :
A fuzzy logic based scheduling approach to improve fairness in opportunistic wireless networks
Author :
Soy, Hakki ; Ozdemir, Ozgur
Author_Institution :
Dept. of Electr. & Electron. Eng., Necmettin Erbakan Univ., Konya, Turkey
fYear :
2014
fDate :
15-17 Oct. 2014
Firstpage :
1
Lastpage :
5
Abstract :
In the design of wireless scheduling policies, the fairness criterion plays an important role in upgrading the performance of network. This paper concentrates on how the channel-aware opportunistic scheduler can improve both throughput and fairness in cellular wireless networks. In order to improve the fairness, we propose an adaptive fair scheduling algorithm by using fuzzy logic model. Proposed scheduler operates on Time Division Multiple Access (TDMA) fashion and calculates the priority index of each user according to channel quality fed back and fairness of channel assignment. We evaluate its performance via statistical simulations. The obtained results show that our strategy can improve the fairness but at the expense of slight throughput loss compared to well-known opportunistic scheduling methods.
Keywords :
cellular radio; channel allocation; fuzzy logic; fuzzy set theory; statistical analysis; telecommunication scheduling; time division multiple access; TDMA; adaptive fair scheduling algorithm; cellular wireless networks; channel assignment; channel quality; channel-aware opportunistic scheduler method; fairness criterion; fuzzy logic based scheduling approach; opportunistic wireless networks; priority index; slight throughput loss; statistical simulations; time division multiple access; wireless scheduling policy design; Indexes; Scheduling; Scheduling algorithms; Signal to noise ratio; Throughput; Wireless networks; fairness; fuzzy logic; multiuser diversity; opportunistic scheduling; throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
Conference_Location :
Astana
Print_ISBN :
978-1-4799-4120-9
Type :
conf
DOI :
10.1109/ICAICT.2014.7035974
Filename :
7035974
Link To Document :
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