Power Control for Cognitive Radio Networks Under Channel Uncertainty

被引:67
作者
Dall'Anese, Emiliano [1 ]
Kim, Seung-Jun [1 ]
Giannakis, Georgios B. [1 ]
Pupolin, Silvano [2 ]
机构
[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
[2] Univ Padua, Dept Informat Engn DEI, I-35131 Padua, Italy
基金
美国国家科学基金会;
关键词
Cognitive radio; power control; network utility maximization; channel uncertainty; interference modeling; geometric programming; SPECTRUM; LIMITS; MANAGEMENT; CAPACITY; SUM;
D O I
10.1109/TWC.2011.081711.110323
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:3541 / 3551
页数:11
相关论文
共 34 条
[1]   OUTAGE PROBABILITIES IN THE PRESENCE OF CORRELATED LOGNORMAL INTERFERERS [J].
ABUDAYYA, AA ;
BEAULIEU, NC .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1994, 43 (01) :164-173
[2]   Correlated Link Shadow Fading in Multi-Hop Wireless Networks [J].
Agrawal, Piyush ;
Patwari, Neal .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2009, 8 (08) :4024-4036
[3]  
[Anonymous], 2001, Principles of Mobile Communications
[4]   COMPLEMENTARY GEOMETRIC PROGRAMMING [J].
AVRIEL, M ;
WILLIAMS, AC .
SIAM JOURNAL ON APPLIED MATHEMATICS, 1970, 19 (01) :125-+
[5]   Distributed Spectrum Sensing for Cognitive Radio Networks by Exploiting Sparsity [J].
Bazerque, Juan Andres ;
Giannakis, Georgios B. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (03) :1847-1862
[6]  
BENTAL A, 1998, MATH OPERATIONS RES, V23
[7]   A tutorial on geometric programming [J].
Boyd, Stephen ;
Kim, Seung-Jean ;
Vandenberghe, Lieven ;
Hassibi, Arash .
OPTIMIZATION AND ENGINEERING, 2007, 8 (01) :67-127
[8]   Power control by geometric programming [J].
Chiang, Mung ;
Tan, Chee Wei ;
Palomar, Daniel P. ;
O'Neill, Daniel ;
Julian, David .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2007, 6 (07) :2640-2651
[9]  
Dall'Anese E., 2011, P INT C DIG SIGN PRO
[10]   Channel Gain Map Tracking via Distributed Kriging [J].
Dall'Anese, Emiliano ;
Kim, Seung-Jun ;
Giannakis, Georgios B. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (03) :1205-1211