A robust energy efficiency power allocation algorithm in cognitive radio networks

In order to solve the problem that traditional energy efficiency power allocation algorithms usually require the assumption of constant or perfect channel state information in cognitive radio networks (CRNs), which may lead to performance degradation in real systems with disturbances or uncertainties, we propose a robust energy efficiency power allocation algorithm for underlay cognitive radio (CR) systems with channel uncertainty in consideration of interference power threshold constraint and minimum target SINR requirement constraint. The ellipsoid sets are used to describe the channel uncertainty, and a constrained fractional programming for the allocation is transformed to a convex optimization problem by worst-case optimization approach. A simplified version of robust energy efficiency scheme by a substitutional constraint having lower complexity is presented. Simulation results show that our proposed scheme can provide higher energy efficiency compared with capacity maximization algorithm and guarantee the signal to interference plus noise ratio (SINR) requirement of each cognitive user under channel uncertainty.

[1]  Gordon L. Stuber,et al.  Interference-Aware Radio Resource Allocation in OFDMA-Based Cognitive Radio Networks , 2011 .

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

[3]  Tho Le-Ngoc,et al.  Distributed Resource Allocation for Cognitive Radio Networks With Spectrum-Sharing Constraints , 2011, IEEE Transactions on Vehicular Technology.

[4]  Zhilu Wu,et al.  Robust H ∞ Power Control for CDMA Systems in User-Centric and Network-Centric Manners , 2009 .

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

[6]  Gordon L. Stüber,et al.  Joint Spectrum-Sensing Design and Power Control in Cognitive Radio Networks: A Stochastic Approach , 2012, IEEE Transactions on Wireless Communications.

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

[8]  Ying-Chang Liang,et al.  Optimal Power Allocation Strategies for Fading Cognitive Radio Channels with Primary User Outage Constraint , 2011, IEEE Journal on Selected Areas in Communications.

[9]  Yuanan Liu,et al.  Energy Efficiency Optimization for OFDM-Based Cognitive Radio Systems: A Water-Filling Factor Aided Search Method , 2013, IEEE Transactions on Wireless Communications.

[10]  Gerhard Fettweis,et al.  Framework for Link-Level Energy Efficiency Optimization with Informed Transmitter , 2012, IEEE Trans. Wirel. Commun..

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

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

[13]  Ekram Hossain,et al.  Resource allocation for spectrum underlay in cognitive radio networks , 2008, IEEE Transactions on Wireless Communications.

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

[15]  Ying-Chang Liang,et al.  Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity , 2008, IEEE Transactions on Wireless Communications.

[16]  Katta G. Murty,et al.  Nonlinear Programming Theory and Algorithms , 2007, Technometrics.

[17]  Richard Demo Souza,et al.  Rate and Energy Efficient Power Control in a Cognitive Radio Ad Hoc Network , 2013, IEEE Signal Processing Letters.

[18]  I. Stancu-Minasian.  Nonlinear Fractional Programming , 1997 .

[19]  Gordon L. Stüber,et al.  Interference-Aware Radio Resource Allocation in OFDMA-Based Cognitive Radio Networks , 2011, IEEE Transactions on Vehicular Technology.

[20]  Sidan Du,et al.  Resource allocation for multiuser cognitive OFDM networks with proportional rate constraints , 2012, Int. J. Commun. Syst..

[21]  Zhi Ding,et al.  Distributed Control of Multiple Cognitive Radio Overlay for Primary Queue Stability , 2013, IEEE Transactions on Wireless Communications.

[22]  Xiaohui Zhao,et al.  A new power allocation algorithm in cognitive radio networks , 2014, China Communications.

[23]  Jiandong Li,et al.  Optimal Power Control for Cognitive Radio Networks Under Coupled Interference Constraints: A Cooperative Game-Theoretic Perspective , 2010, IEEE Transactions on Vehicular Technology.

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

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

[26]  Moe Z. Win,et al.  Robust Power Allocation for Energy-Efficient Location-Aware Networks , 2013, IEEE/ACM Transactions on Networking.