Rate adaptation with joint receive diversity and power control for cognitive radio networks

A joint receive diversity and power control (JRDPC) algorithm is proposed for cognitive radio networks. By this algorithm, the quality of service for the primary user can be ensured and the secondary user (SU) can make its signal-to-interference-plus-noise ratio (SINR) converge to the SINR requirement. To realize rate adaptation, we propose the rate adaptation algorithm that works with the proposed JRDPC algorithm. We assume that there is a throughput requirement (which is determined by the transmission rate and the SINR), and the proposed rate adaptation algorithm aims to adapt SUs transmission rate to the SINR so that SUs adapted transmission rate can meet the throughput requirement. Simulation results show that compared to rate adaptation without joint receive diversity and power control, the proposed rate adaptation algorithm increases SUs probability of feasibility (for making SUs adapted transmission rate meet the throughput requirement).

[1]  Harry L. Van Trees,et al.  Optimum Array Processing , 2002 .

[2]  A. Subramanian,et al.  Joint rate and power control algorithms for wireless networks , 2005, IEEE Transactions on Signal Processing.

[3]  Andrew J. Viterbi,et al.  On the capacity of a cellular CDMA system , 1991 .

[4]  K. J. Ray Liu,et al.  Adaptive QoS for wireless multimedia networks using power control and smart antennas , 2002, IEEE Trans. Veh. Technol..

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

[6]  Sang Wu Kim,et al.  Combined rate and power adaptation in DS/CDMA communications over Nakagami fading channels , 2000, IEEE Trans. Commun..

[7]  Jui Teng Wang Optimal joint dual transmitter receiver diversity and power control for wireless networks , 2007, IEEE Communications Letters.

[8]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[9]  Leandros Tassiulas,et al.  Joint optimal power control and beamforming in wireless networks using antenna arrays , 1998, IEEE Trans. Commun..

[10]  Leandros Tassiulas,et al.  Joint transmitter receiver diversity for efficient space division multiaccess , 2002, IEEE Trans. Wirel. Commun..

[11]  Jui Teng Wang Admission Control With Distributed Joint Diversity and Power Control for Wireless Networks , 2009, IEEE Transactions on Vehicular Technology.

[12]  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.