A robust energy-efficient power control algorithm for cognitive radio networks

To achieve energy efficiency is very important for future cognitive radio networks since we need less power consumption and much more transmitted information. In this paper, we propose a power allocation scheme with robust energy efficiency consideration for appropriately guaranteeing target signal to interference plus noise ratio (SINR) requirement for cognitive users and the received interferences at primary receivers below a threshold. A time-varying interference threshold protection factor and a protection margin to the SINR targets are introduced for the above purpose. This problem is formulated as a fraction programming problem solved by an iterative algorithm based on Lagrange dual approach by convex transformation. Simulation results show the validity of the proposed algorithm on both energy efficiency and robustness under channel gain disturbance.

[1]  Werner Dinkelbach On Nonlinear Fractional Programming , 1967 .

[2]  Haijun Zhang,et al.  Energy-efficient resource optimization in OFDMA-based dense femtocell networks , 2013, ICT 2013.

[3]  Victor C. M. Leung,et al.  Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations , 2017, IEEE Journal on Selected Areas in Communications.

[4]  Alagan Anpalagan,et al.  Optimal power allocation for green cognitive radio: fractional programming approach , 2013, IET Commun..

[5]  Min Sheng,et al.  Pricing-Based Multiresource Allocation in OFDMA Cognitive Radio Networks: An Energy Efficiency Perspective , 2014, IEEE Transactions on Vehicular Technology.

[6]  Victor C. M. Leung,et al.  Downlink Energy Efficiency of Power Allocation and Wireless Backhaul Bandwidth Allocation in Heterogeneous Small Cell Networks , 2017, IEEE Transactions on Communications.

[7]  Simon Haykin,et al.  Cognitive Radio Networks: The Spectrum Supply Chain Paradigm , 2015, IEEE Transactions on Cognitive Communications and Networking.

[8]  Chonggang Wang,et al.  Energy-Efficient Resource Management in OFDM-Based Cognitive Radio Networks Under Channel Uncertainty , 2015, IEEE Transactions on Communications.

[9]  Yan Wang,et al.  Optimal Energy-Efficient Power Allocation for OFDM-Based Cognitive Radio Networks , 2012, IEEE Communications Letters.

[10]  Shunqiao Sun,et al.  Robust Power Control in Cognitive Radio Networks: A Distributed Way , 2011, 2011 IEEE International Conference on Communications (ICC).

[11]  Min Sheng,et al.  Robust Energy Efficiency Maximization in Cognitive Radio Networks: The Worst-Case Optimization Approach , 2015, IEEE Transactions on Communications.

[12]  Cyril Leung,et al.  Resource allocation in an OFDM-based cognitive radio system , 2009, IEEE Transactions on Communications.

[13]  Mokhtar S. Bazaraa,et al.  Nonlinear Programming: Theory and Algorithms , 1993 .

[14]  Simon Haykin,et al.  Robust Transmit Power Control for Cognitive Radio , 2009, Proceedings of the IEEE.

[15]  Gozde Ozcan,et al.  Optimal Power Control for Underlay Cognitive Radio Systems With Arbitrary Input Distributions , 2015, IEEE Transactions on Wireless Communications.

[16]  Zouheir Rezki,et al.  Energy Efficient Resource Allocation for Cognitive Radios: A Generalized Sensing Analysis , 2015, IEEE Transactions on Wireless Communications.

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

[18]  Mohamed-Slim Alouini,et al.  Energy-Efficient Power Allocation for Underlay Cognitive Radio Systems , 2015, IEEE Transactions on Cognitive Communications and Networking.

[19]  Vijay K. Bhargava,et al.  Energy-efficient power allocation in OFDM-based cognitive radio systems: A risk-return model , 2009, IEEE Transactions on Wireless Communications.

[20]  Ying-Chang Liang,et al.  Robust Power Control and Beamforming in Cognitive Radio Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.

[21]  Ayaz Ahmad,et al.  A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks , 2015, IEEE Communications Surveys & Tutorials.

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

[23]  Danijela Cabric,et al.  Robust Power Control Under Location and Channel Uncertainty in Cognitive Radio Networks , 2015, IEEE Wireless Communications Letters.

[24]  Mung Chiang,et al.  Energy–Robustness Tradeoff in Cellular Network Power Control , 2009, IEEE/ACM Transactions on Networking.

[25]  Victor C. M. Leung,et al.  Sensing Time Optimization and Power Control for Energy Efficient Cognitive Small Cell With Imperfect Hybrid Spectrum Sensing , 2017, IEEE Transactions on Wireless Communications.