DocumentCode
485293
Title
Adaptive resource allocation in OFDMA-based cooperative cellular network
Author
Lei You ; Mei Song ; JunDe Song
Author_Institution
PCN&CAD Center, Beijing Univ. of Posts & Telecommun., Beijing
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
333
Lastpage
336
Abstract
Adaptive resource allocation is studied for OFDMA-based cooperative cellular networks. Assuming that the base station has all the channel state information (CSI), an optimization problem for adaptive subcarrier assignment, power allocation and relay selection scheme that maximizes downlink capacity of the system is formulated. Since the optimal solution is computationally complex to obtain, a suboptimal solution dividing the problem into two steps is proposed. The algorithm in the first step for allocating subcarriers and power of BS aims at exploiting multiuser diversity of OFDMA network, while greedy relay selection and iterative relay power allocation algorithms in the second step try to exploit cooperative diversity capacity as much as possible. Numerical results show that the proposed solution can achieve significant improvement on system capacity due to two diversity schemes fully utilized by the algorithms.
Keywords
OFDM modulation; cellular radio; computational complexity; diversity reception; frequency division multiple access; iterative methods; optimisation; resource allocation; OFDMA-based cooperative cellular network; adaptive resource allocation; adaptive subcarrier assignment; channel state information; computationally complex; cooperative diversity capacity; downlink capacity; greedy relay selection; iterative relay power allocation algorithms; multiuser diversity; optimization problem; relay selection scheme; system capacity; OFDMA; adaptive resource allocation; cooperative diversity; multiuser diversity;
fLanguage
English
Publisher
iet
Conference_Titel
Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
Conference_Location
Shanghai
ISSN
0537-9989
Print_ISBN
978-0-86341-836-5
Type
conf
Filename
4786205
Link To Document