Transmit Power Control for Cognitive Radio Over a Rayleigh Fading Channel

In this paper, we propose an adaptive-power-control scheme for a cognitive radio system (CRS) in a Rayleigh fading channel. By allowing transmit power adaptation at the secondary user (SU) transmitter to maintain a constant output SNR to the SU receiver, this scheme maximizes the output SNR and limits the interference to a primary user (PU) within an interference constraint. To calculate this maximum constant output SNR at the SU receiver subject to the interference constraint of the PUs, we have developed an analytical model for the distribution of the interference to the PU while considering the detection performance at the SU. The analytical model takes into account multiple antennas at SUs, including a single antenna as a special case. It is found that the proposed adaptive-power control scheme outperforms the fixed-power control scheme. Typically, with SUs using two transmit and two receive antennas at the bit error rate (BER) of 10-3, the proposed adaptive-power control scheme achieves a 3-dB gain in the SNR.

[1]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.

[2]  T. Ohira,et al.  Fast beamforming of electronically steerable parasitic array radiator antennas: theory and experiment , 2004, IEEE Transactions on Antennas and Propagation.

[3]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[4]  Ying-Chang Liang,et al.  Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks , 2008, IEEE Journal on Selected Areas in Communications.

[5]  A. Robert Calderbank,et al.  Correction to "Space-Time codes from orthogonal designs" , 2000, IEEE Trans. Inf. Theory.

[6]  Mikio Hasegawa,et al.  Novel out-of-band signaling for seamless interworking betweem heterogeneous networks , 2004, IEEE wireless communications.

[7]  Benjamin Friedlander,et al.  Beamforming versus transmit diversity in the downlink of a cellular communications system , 2004, IEEE Transactions on Vehicular Technology.

[8]  Oriol Sallent,et al.  Introduction to IEEE P1900.4 Activities , 2008, IEICE Trans. Commun..

[9]  Ying-Chang Liang,et al.  Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks , 2007, IEEE Journal of Selected Topics in Signal Processing.

[10]  Wiwat Kiranon,et al.  An arbitrary power law device based on integrators , 2000, IEEE Trans. Instrum. Meas..

[11]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[12]  Albert H. Nuttall,et al.  Some integrals involving the QM function (Corresp.) , 1975, IEEE Trans. Inf. Theory.

[13]  John G. Proakis,et al.  Digital Communications , 1983 .

[14]  Chen Sun,et al.  Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels , 2009, IEICE Trans. Commun..

[15]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

[16]  Shlomo Shamai,et al.  Information theoretic considerations for cellular mobile radio , 1994 .

[17]  Sonia Aïssa,et al.  Capacity and power allocation for spectrum-sharing communications in fading channels , 2009, IEEE Transactions on Wireless Communications.

[18]  Chen Sun,et al.  Robust Spectrum Sensing Algorithms for Cognitive Radio Application by Using Distributed Sensors , 2009, IEICE Trans. Commun..

[19]  E. Masoud,et al.  Space-Time Block Coding for Wireless Communications , 2008 .

[20]  Jean-Paul M. G. Linnartz,et al.  Performance Analysis of Primary User Detection in a Multiple Antenna Cognitive Radio , 2007, 2007 IEEE International Conference on Communications.

[21]  Dominique Noguet,et al.  Sensing techniques for Cognitive Radio - State of the art and trends , 2009 .

[22]  J.H. Winters,et al.  Optimum combining in digital mobile radio with cochannel interference , 1984, IEEE Transactions on Vehicular Technology.

[23]  H. Vincent Poor,et al.  On the optimality of equal gain combining for energy detection of unknown signals , 2006, IEEE Communications Letters.

[24]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[25]  Chen Sun,et al.  Handbook on Advancements in Smart Antenna Technologies for Wireless Networks , 2008 .

[26]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[27]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[28]  Amir Ghasemi,et al.  Fundamental limits of spectrum-sharing in fading environments , 2007, IEEE Transactions on Wireless Communications.