Title :
Utility-based power control for peer-to-peer cognitive radio networks with heterogeneous QoS constraints
Author :
Gatsis, Nikolaos ; Marques, Antonio G. ; Giannakis, Georgios B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN
fDate :
March 31 2008-April 4 2008
Abstract :
Transmit-power control is a critical task in cognitive radio (CR) networks. In the present contribution, adherence to hierarchies between primary and secondary users in a peer-to-peer CR network is enabled through distributed power control. Hierarchies are effected by imposing minimum and maximum bounds on a quality-of-service (QoS) metric, such as communication rate. These bounds translate to signal-to-interference-plus-noise ratio (SINR) constraints. Furthermore, a utility function captures each user´s satisfaction with the received SINR. The novel power control strategy maximizes the total utility while respecting individual SINR constraints - a task recast as a convex optimization problem under a suitable relaxation. Sufficient conditions, realistic for practical CR networks, are provided to obtain the optimal power allocation from the solution of the relaxed problem. Finally, a low-overhead distributed algorithm for optimal power control is developed, and tested against competing alternatives via simulations.
Keywords :
cognitive radio; convex programming; distributed algorithms; distributed control; optimal control; power control; quality of service; telecommunication control; convex optimization problem; heterogeneous QOS constraints; low-overhead distributed algorithm; optimal power allocation; peer-to-peer cognitive radio networks; quality-of-service metrics; signal-to-interference-plus-noise ratio; transmit-power control; utility-based distributed power control; Chromium; Cognitive radio; Communication system control; Constraint optimization; Peer to peer computing; Power control; Quality of service; Radio control; Signal to noise ratio; Sufficient conditions; Cognitive radios; QoS constraints; distributed algorithms; optimization methods; power control;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518232