DocumentCode :
266690
Title :
Distributed power control over interference channels using ACK/NACK feedback
Author :
Andreotti, Riccardo ; Marchetti, Leonardo ; Sanguinetti, Luca ; Debbah, Merouane
Author_Institution :
Dipt. di Ing. dell´Inf., Univ. of Pisa, Pisa, Italy
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
4186
Lastpage :
4190
Abstract :
In this work, we consider a network composed of several single-antenna transmitter-receiver pairs in which each pair aims at selfishly minimizing the power required to achieve a given signal-to-interference-plus-noise ratio. This is obtained modeling the transmitter-receiver pairs as rational agents that engage in a non-cooperative game. Capitalizing on the well-known results on the existence and structure of the generalized Nash equilibrium (GNE) point of the underlying game, a low complexity, iterative and distributed algorithm is derived to let each terminal reach the GNE using only a limited feedback in the form of link-layer acknowledgements (ACK) or negative acknowledgements (NACK). Numerical results are used to prove that the proposed solution is able to achieve convergence in a scalable and adaptive manner under different operating conditions.
Keywords :
distributed algorithms; distributed control; game theory; iterative methods; power control; radio receivers; radio transmitters; radiofrequency interference; receiving antennas; telecommunication power management; telecommunication terminals; transmitting antennas; wireless channels; ACK-NACK feedback; GNE; distributed algorithm; distributed power control; generalized Nash equilibrium; interference channel; iterative algorithm; link-layer acknowledgement; negative acknowledgement; noncooperative game theory; signal-to-interference-plus-noise ratio; single-antenna transmitter-receiver pair; Convergence; Games; Interference; Receivers; Signal to noise ratio; Transmitters; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7037464
Filename :
7037464
Link To Document :
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