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Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Stackelberg Game
July 2009 (vol. 8 no. 7)
pp. 975-990
ASCII Text
x 
 
Beibei Wang, Zhu Han, K.J. Ray Liu, "Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Stackelberg Game," IEEE Transactions on Mobile Computing, vol. 8, no. 7, pp. 975-990, July, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TMC.2008.153,
author = {Beibei Wang and Zhu Han and K.J. Ray Liu},
title = {Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Stackelberg Game},
journal ={IEEE Transactions on Mobile Computing},
volume = {8},
number = {7},
issn = {1536-1233},
year = {2009},
pages = {975-990},
doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2008.153},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Mobile Computing
TI - Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Stackelberg Game
IS - 7
SN - 1536-1233
SP975
EP990
EPD - 975-990
A1 - Beibei Wang,
A1 - Zhu Han,
A1 - K.J. Ray Liu,
PY - 2009
KW - Cooperative communication networks
KW - relay selection
KW - distributed power allocation
KW - game theory.
VL - 8
JA - IEEE Transactions on Mobile Computing
ER -
 
Beibei Wang, University of Maryland, College Park
Zhu Han, University of Houston, Houston
K.J. Ray Liu, University of Maryland, College Park
The performance in cooperative communication depends on careful resource allocation such as relay selection and power control, but the traditional centralized resource allocation requires precise measurements of channel state information (CSI). In this paper, we propose a distributed game-theoretical framework over multiuser cooperative communication networks to achieve optimal relay selection and power allocation without knowledge of CSI. A two-level Stackelberg game is employed to jointly consider the benefits of the source node and the relay nodes in which the source node is modeled as a buyer and the relay nodes are modeled as sellers, respectively. The proposed approach not only helps the source find the relays at relatively better locations and "buy” an optimal amount of power from the relays, but also helps the competing relays maximize their own utilities by asking the optimal prices. The game is proved to converge to a unique optimal equilibrium. Moreover, the proposed resource allocation scheme with the distributed game can achieve comparable performance to that employing centralized schemes.

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Index Terms:
Cooperative communication networks, relay selection, distributed power allocation, game theory.
Citation:
Beibei Wang, Zhu Han, K.J. Ray Liu, "Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Stackelberg Game," IEEE Transactions on Mobile Computing, vol. 8, no. 7, pp. 975-990, July 2009, doi:10.1109/TMC.2008.153
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