DocumentCode
2093656
Title
Fair resource allocation for cooperative relay OFDMA networks
Author
Liu, Wei ; Luo, Tao ; He, Xin ; Deng, Ke ; Yue, Guangxin
Author_Institution
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2010
fDate
11-14 Nov. 2010
Firstpage
1394
Lastpage
1398
Abstract
In this paper, in order to improve the efficiency of wireless resource utilization, power control and subcarrier allocation are optimized jointly in a three-node symmetric cooperation orthogonal frequency-division multiple access uplink system. Equivalent direct channel gain is introduced to simplify relay links. Transmission mode selection strategy guarantees an optimal operation mode on the subcarriers allocated to each user node. Nash bargaining solution is used for fairness. The problem is formulated to maximize the overall system rate, under each user node´s maximal power and minimal rate constraints, while considering the fairness between the two user nodes. The joint resource allocation is decomposed and solved by dynamic subcarrier allocation algorithm and adaptive power allocation algorithm. Simulation results indicate that the sum rate of the system, the rate of user node and the fairness have been improved comparing to the non-cooperative strategy.
Keywords
OFDM modulation; cooperative communication; frequency division multiple access; game theory; resource allocation; Nash bargaining solution; cooperative relay OFDMA networks; dynamic subcarrier allocation algorithm; fair resource allocation; minimal rate constraints; orthogonal frequency-division multiple access uplink system; power control; three-node symmetric cooperation OFDMA uplink system; user node maximal power; wireless resource utilization; Artificial neural networks; Dynamic scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Technology (ICCT), 2010 12th IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-6868-3
Type
conf
DOI
10.1109/ICCT.2010.5689021
Filename
5689021
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