DocumentCode :
1308411
Title :
Power Control for Cognitive Radio Networks Under Channel Uncertainty
Author :
Dall´Anese, Emiliano ; Kim, Seung-Jun ; Giannakis, Georgios B. ; Pupolin, Silvano
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
Volume :
10
Issue :
10
fYear :
2011
fDate :
10/1/2011 12:00:00 AM
Firstpage :
3541
Lastpage :
3551
Abstract :
Cognitive radio (CR) networks can re-use the RF spectrum licensed to a primary user (PU) network, provided that the interference inflicted to the PUs is carefully controlled. However, due to lack of explicit cooperation between CR and PU systems, it is often difficult for CRs to acquire CR-to-PU channels accurately. In fact, if the PU receivers are off, the sensing algorithms cannot obtain the channels for the PU receivers, although they have to be protected nevertheless. In order to achieve aggressive spectrum re-use even in such challenging scenarios, power control algorithms that take channel uncertainty into account are developed. Both log-normal shadowing and small-scale fading effects are considered through suitable approximations. Accounting for the latter, centralized network utility maximization (NUM) problems are formulated, and their Karush-Kuhn-Tucker points are obtained via sequential geometric programming. For the case where CR-to-CR channels are also uncertain, a novel outage probability-based NUM formulation is proposed, and its solution method developed in a unified fashion. Numerical tests verify the performance merits of the novel design.
Keywords :
approximation theory; cognitive radio; fading channels; geometric programming; log normal distribution; power control; radio receivers; radio spectrum management; radiofrequency interference; CR-to-CR channels; CR-to-PU channels; Karush-Kuhn-Tucker points; PU receivers; RF spectrum re-use; approximation method; centralized network utility maximization problem; channel uncertainty; cognitive radio networks; log normal shadowing effects; outage probability-based NUM formulation; power control algorithms; primary user network; radiofrequency interference; sensing algorithm; sequential geometric programming; small-scale fading effects; Approximation methods; Fading channels; Interference; Optimization; Power control; Receivers; Uncertainty; Cognitive radio; channel uncertainty; geometric programming; interference modeling; network utility maximization; power control;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2011.081711.110323
Filename :
6002415
Link To Document :
بازگشت