Joint optimal sensing threshold and subcarrier power allocation in wideband cognitive radio for minimising interference to primary user

Cognitive Radio (CR) can use the frequency band allocated to a Primary User (PU) on the premise that it will prevent significant of avoiding causing great interference to the PU. In this paper, we consider a wideband CR system where the Secondary User (SU) minimises its interference to the PU by jointly allocating the optimal sensing threshold and subcarrier power. A multi-parameter optimization problem is formulated to obtain the joint optimal allocation by alternating direction optimization, which minimises the total interference to the PU over all of the subcarriers subject to the constraints on the throughput, Bit Error Rate (BER) and maximal total power of the SU, the subcarrier rate and interference power of the PU, and the false alarm and mis-detection probabilities of each subcarrier. The simulation results show that the proposed joint allocation algorithm can achieve the desired mitigation on the interference to the PU at the different subcarrier gains.

[1]  Boon Chong Ng,et al.  An Iterative Threshold Selection Algorithm for Cooperative Sensing in a Cognitive Radio Network , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[2]  Guoan Bi,et al.  Optimal Joint Sensing Threshold and Sub-channel Power Allocation in Multi-channel Cognitive Radio , 2013, WWIC.

[3]  Mingyi Hong,et al.  Averaged Iterative Water-Filling Algorithm: Robustness and Convergence , 2011, IEEE Transactions on Signal Processing.

[4]  Baltasar Beferull-Lozano,et al.  Joint Optimization of Detection and Power Allocation for OFDM-Based Cognitive Radios , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[5]  Mohamed-Slim Alouini,et al.  On the energy detection of unknown signals over fading channels , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[6]  Tao Qin,et al.  A Cost Minimization Algorithm for a Multiuser OFDM Cognitive Radio System , 2007, 2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing.

[7]  Sergio Barbarossa,et al.  Joint optimization of detection thresholds and power allocation for opportunistic access in multicarrier cognitive radio networks , 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[8]  Guoan Bi,et al.  Joint optimization of sensing threshold and transmission power in wideband cognitive radio with energy detection , 2013 .

[9]  Hai Jiang,et al.  Optimal multi-channel cooperative sensing in cognitive radio networks , 2010, IEEE Transactions on Wireless Communications.

[10]  Xianbin Wang,et al.  Efficient Mutual Interference Minimization and Power Allocation for OFDM-Based Cognitive Radio , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[11]  Geoffrey Ye Li,et al.  Cognitive radio networking and communications: an overview , 2011, IEEE Transactions on Vehicular Technology.

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

[13]  H. Vincent Poor,et al.  Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE Transactions on Signal Processing.

[14]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[15]  Xin Liu,et al.  Optimization for Weighed Cooperative Spectrum Sensing in Cognitive Radio Network , 2012 .

[16]  Xin Liu,et al.  Joint optimization of sensing time and cooperative user in cognitive radio , 2012, 7th International Conference on Communications and Networking in China.

[17]  Gang Wei,et al.  Energy detection threshold optimization for cooperative spectrum sensing , 2010, 2010 2nd International Conference on Advanced Computer Control.