Energy–Spectral Efficiency Tradeoff in Cognitive Radio Networks

In this paper, we propose a general framework to evaluate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in cognitive radio networks (CRNs). The proposed framework is discussed in three typical CRN paradigms: underlay CRNs (UCRNs), overlay CRNs (OCRNs), and interweave CRNs (ICRNs). The EE-SE relation for three CRNs is expressed in the closed-form formulation, in which the optimal (suboptimal) EE solution as the function of SE is deduced with the corresponding limits. The theoretical analysis and numerical results indicate that the EE-SE relation in CRNs is not contrary, i.e., an optimal EE-SE tradeoff can be achieved. The proposed framework provides a useful guidance in the design of practical green CRNs.

[1]  Wensheng Zhang,et al.  Spectrum Sensing Algorithms via Finite Random Matrices , 2012, IEEE Transactions on Communications.

[2]  Yiyang Pei,et al.  Energy-Efficient Design of Sequential Channel Sensing in Cognitive Radio Networks: Optimal Sensing Strategy, Power Allocation, and Sensing Order , 2011, IEEE Journal on Selected Areas in Communications.

[3]  Jing Wang,et al.  Cognitive radio in 5G: a perspective on energy-spectral efficiency trade-off , 2014, IEEE Communications Magazine.

[4]  Liang Zheng,et al.  Energy-Infeasibility Tradeoff in Cognitive Radio Networks: Price-Driven Spectrum Access Algorithms , 2014, IEEE Journal on Selected Areas in Communications.

[5]  Joseph Mitola,et al.  Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .

[6]  Cheng-Xiang Wang,et al.  Spectral-Energy Efficiency Tradeoff in Relay-Aided Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[7]  Cong Xiong,et al.  Energy- and Spectral-Efficiency Tradeoff in Downlink OFDMA Networks , 2011, IEEE Transactions on Wireless Communications.

[8]  Di He,et al.  Cooperative spectrum sensing based on stochastic resonance in cognitive radio networks , 2014, Science China Information Sciences.

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

[10]  Shaoqian Li,et al.  Joint optimal sensing time and power allocation for multi-channel cognitive radio networks considering sensing-channel selection , 2013, Science China Information Sciences.

[11]  K. J. Ray Liu,et al.  Advances in cognitive radio networks: A survey , 2011, IEEE Journal of Selected Topics in Signal Processing.

[12]  Xiaohu You,et al.  Energy Efficiency and Spectral Efficiency Tradeoff in Downlink Distributed Antenna Systems , 2012, IEEE Wireless Communications Letters.

[13]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[14]  Cheng-Xiang Wang,et al.  Spectral, energy and economic efficiency of relay-aided cellular networks , 2013, IET Commun..

[15]  Hsiao-Hwa Chen,et al.  On capacity of cognitive radio networks with average interference power constraints , 2009, IEEE Transactions on Wireless Communications.

[16]  Cheng-Xiang Wang,et al.  Wideband spectrum sensing for cognitive radio networks: a survey , 2013, IEEE Wireless Communications.

[17]  Ian F. Akyildiz,et al.  Optimal spectrum sensing framework for cognitive radio networks , 2008, IEEE Transactions on Wireless Communications.

[18]  Geoffrey Ye Li,et al.  Fundamental trade-offs on green wireless networks , 2011, IEEE Communications Magazine.

[19]  Xiqi Gao,et al.  Cellular architecture and key technologies for 5G wireless communication networks , 2014, IEEE Communications Magazine.

[20]  Andrea J. Goldsmith,et al.  Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective , 2009, Proceedings of the IEEE.

[21]  Rui Zhang,et al.  On peak versus average interference power constraints for protecting primary users in cognitive radio networks , 2008, IEEE Transactions on Wireless Communications.

[22]  Cheng-Xiang Wang,et al.  Energy-Spectral Efficiency Trade-Off in Virtual MIMO Cellular Systems , 2013, IEEE Journal on Selected Areas in Communications.

[23]  Neeraj Jaggi,et al.  On the energy efficiency of cognitive radios - A study of the Ad Hoc Wireless LAN scenario , 2011, 2011 International Green Computing Conference and Workshops.

[24]  Yonghong Zeng,et al.  Sensing-Throughput Tradeoff for Cognitive Radio Networks , 2008, IEEE Trans. Wirel. Commun..

[25]  Zhigang Cao,et al.  A Joint PHY-MAC Spectrum Sensing Algorithm Exploiting Sequential Detection , 2010, IEEE Signal Processing Letters.

[26]  Apurva N. Mody,et al.  IEEE Standards Supporting Cognitive Radio and Networks, Dynamic Spectrum Access, and Coexistence , 2008, IEEE Communications Magazine.

[27]  Ananthram Swami,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework , 2007, IEEE Journal on Selected Areas in Communications.

[28]  Geoffrey Ye Li,et al.  Energy Efficient Design in Wireless OFDMA , 2008, 2008 IEEE International Conference on Communications.

[29]  Kang G. Shin,et al.  Detection of Small-Scale Primary Users in Cognitive Radio Networks , 2011, IEEE Journal on Selected Areas in Communications.

[30]  Yan Chen,et al.  Spectrum efficiency and energy efficiency tradeoff for heterogeneous wireless networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[31]  Muhammad Ali Imran,et al.  On the Energy Efficiency-Spectral Efficiency Trade-Off of Distributed MIMO Systems , 2013, IEEE Transactions on Communications.

[32]  Cheng-Xiang Wang,et al.  Spectral-energy efficiency tradeoff in Cognitive Radio networks with peak interference power constraints , 2011, 2011 IEEE 13th International Conference on Communication Technology.