DocumentCode :
659759
Title :
A Dynamic Resource Allocation Scheme Using Nash Bargaining Game for the Uplink of Multiuser OFDM Systems
Author :
Baharlouei, Akram ; Jabbari, Bijan
Author_Institution :
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes a dynamic resource allocation scheme based on Nash Bargaining Game (NBG) for the uplink of single-cell multiuser OFDM cellular networks. Although Nash Bargaining Solution (NBS) provides a fair and optimum approach in order to maximize the total rate of the network, there is no simple solution for the case of #36;K#36; users. NBS relates to maximizing the user utilities multiplication rather than the summation, hence, it makes the optimization problem harder to solve. Here, by decomposing the NBS problem into two sub- problems, the power allocation reduces to the well- known water-filling algorithm and the subchannel assignment leads to a simple algorithm which takes the total channel gain of each user as the fairness factor. Simulation results show that the proposed algorithm keeps a balance between the Max-Min approach and the Max-Sum where Max-Min aims at maximizing the worst user rate and Max-Sum maximizes the sum of the rates by blocking the users in the poor channel conditions.
Keywords :
OFDM modulation; cellular radio; channel allocation; game theory; minimax techniques; multiuser channels; NBG; NBS; Nash bargaining game; Nash bargaining solution; dynamic resource allocation scheme; max-min approach; max-sum scheme; multiuser OFDM cellular network; optimization problem; power allocation; subchannel assignment; water filling algorithm; Dynamic scheduling; Games; Heuristic algorithms; NIST; OFDM; Optimization; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
ISSN :
1090-3038
Type :
conf
DOI :
10.1109/VTCFall.2013.6692033
Filename :
6692033
Link To Document :
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