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