DocumentCode :
2049760
Title :
Transmission power optimazation in two-way tranmission aware relay-aided cellular networks
Author :
Guanyao Du ; Ke Xiong ; Dandan Li ; Yu Zhang ; Zhengding Qiu
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
fYear :
2011
fDate :
27-30 Nov. 2011
Firstpage :
90
Lastpage :
94
Abstract :
Nowadays, more and more applications are expected to be employed on energy-limited mobile terminals (MTs), with the rapid growth of embedded platforms´ computational abilities and mobile subscribes´ requirements. Thus, how to save the power consumption for the MT is becoming more and more important. To this end, deploying relay stations (RSs) in cellular networks has been considered as one of the most effective techniques. In this work, we investigate how to optimize MT´s transmission power in cellular networks, where two-way transmission are considered and RSs´ locations, MT´s path selections and bandwidth resources allocation are jointly optimized using genetic algorithm (GA). Numerical results show that MT´s transmission power is significantly reduced through the optimization of our method. Furthermore, we also investigate the influences of RS´s coverage on MT´s transmission power, and the numerical results show that the best RS´s covering radius should be 50%~70% of the cell radius.
Keywords :
bandwidth allocation; cellular radio; genetic algorithms; resource allocation; GA; RS; bandwidth resource allocation; embedded platform computational ability; energy-limited MT; energy-limited mobile terminal; genetic algorithm; mobile subscribe requirement; power consumption; relay station; transmission power optimization; two-way tranmission aware relay-aided cellular network; energy efficinecy; genetic algorithm (GA) optimization; relay station´s coverage; relay-assisted cellular network; two-way transmission;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Wireless, Mobile & Multimedia Networks (ICWMMN 2011), 4th IET International Conference on
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-507-2
Type :
conf
DOI :
10.1049/cp.2011.0965
Filename :
6197832
Link To Document :
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