Browse > Article
http://dx.doi.org/10.4218/etrij.15.0114.0739

Energy-Efficient Power Allocation for Cognitive Radio Networks with Joint Overlay and Underlay Spectrum Access Mechanism  

Zuo, Jiakuo (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University)
Zhao, Li (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University)
Bao, Yongqiang (School of Communication Engineering, Nanjing Institute of Technology)
Zou, Cairong (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University)
Publication Information
ETRI Journal / v.37, no.3, 2015 , pp. 471-479 More about this Journal
Abstract
Traditional designs of cognitive radio (CR) focus on maximizing system throughput. In this paper, we study the joint overlay and underlay power allocation problem for orthogonal frequency-division multiple access-based CR. Instead of maximizing system throughput, we aim to maximize system energy efficiency (EE), measured by a "bit per Joule" metric, while maintaining the minimal rate requirement of a given CR system, under the total power constraint of a secondary user and interference constraints of primary users. The formulated energy-efficient power allocation (EEPA) problem is nonconvex; to make it solvable, we first transform the original problem into a convex optimization problem via fractional programming, and then the Lagrange dual decomposition method is used to solve the equivalent convex optimization problem. Finally, an optimal EEPA allocation scheme is proposed. Numerical results show that the proposed method can achieve better EE performance.
Keywords
Energy efficiency; power allocation; OFDMA; cognitive radio; fractional programming;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Akin and M.C. Gursoy, "On the Throughput and Energy Efficiency of Cognitive MIMO Transmissions," IEEE Trans. Veh. Technol., vol. 62, no. 7, Mar. 2013, pp. 3245-3260.   DOI
2 W. Zhong and J. Wang, "Energy Efficient Spectrum Sharing Strategy Selection for Cognitive MIMO Interference Channels," IEEE Trans. Signal Process., vol. 61, no. 14, July 2013, pp. 3705-3717.   DOI
3 W. Dinkelbach, "On Nonlinear Fractional Programming," Manag. Sci., vol. 13, no. 7, Mar. 1967, pp. 492-498.   DOI
4 S. Boyd and L. Vandenberghe, "Interior-Point Methods," in Convex Optimization, London, UK: Cambridge University Press, 2004, pp. 562-622.
5 G. Bansal, M.J. Hossain, and V.K. Bhargava, "Optimal and Suboptimal Power Allocation Schemes for OFDM-Based Cognitive Radio Systems," IEEE Trans. Wireless Commun., vol. 7, no. 11, Nov. 2008, pp. 4710-4718.   DOI
6 T. Weiss et al., "Mutual Interference in OFDM-Based Spectrum Pooling Systems," IEEE Veh. Technol. Conf., vol. 4, May 17-19, 2004, pp. 1873-1877.
7 S. Boyd, L. Xiao, and A. Mutapcic, Subgradient Methods, Stanford University, Oct. 1, 2003. Accessed June 18, 2014. https://web.stanford.edu/class/ee392o/subgrad_method.pdf
8 C.-X. Wang et al., "Cellular Architecture and Key Technologies for 5G Wireless Communication Networks," IEEE Commun. Mag., vol. 52, no. 2, Feb. 2014, pp. 122-130.   DOI
9 E.Z. Tragos et al., "Spectrum Assignment in Cognitive Radio Networks: A Comprehensive Survey," IEEE Commun. Surveys Tutorials, vol. 15, no. 3, Jan. 2013, pp. 1108-1135.   DOI
10 J. Oh and W. Choi, "A Hybrid Cognitive Radio System: A Combination of Underlay and Overlay Approaches," IEEE Veh. Technol. Conf., Ottawa, Canada, Sept. 6-9, 2010, pp. 1-5.
11 M. Ge and S. Wang, "Fast Optimal Resource Allocation is Possible for Multiuser OFDM-Based Cognitive Radio Networks with Heterogeneous Services," IEEE Trans. Wireless Commun., vol. 11, no. 4, Apr. 2012, pp. 1500-1509.   DOI
12 G. Bansal, M.J. Hossain, and V.K. Bhargava, "Adaptive Power Loading for OFDM-Based Cognitive Radio Systems with Statistical Interference Constraint," IEEE Trans. Wireless Commun., vol. 10, no. 9, Sept. 2011, pp. 2786-2791.   DOI
13 T.N. Duy and L.N. Tho, "Distributed Resource Allocation for Cognitive Radio Networks with Spectrum Sharing Constrains," IEEE Trans. Veh. Technol., vol. 60, no. 7, Sept. 2011, pp. 3436-3449.   DOI
14 P. Wang et al., "Power Allocation in OFDM-Based Cognitive Radio Systems," IEEE Global Telecommun. Conf., Washington, DC, USA, Nov. 26-30, 2007, pp. 4061-4065.
15 M.G. Khoshkholgh, K. Navaie, and H. Yanikomeroglu, "On the Impact of the Primary Network Activity on the Achievable Capacity of Spectrum Sharing over Fading Channels," IEEE Trans. Wireless Commun., vol. 8, no. 4, Apr. 2009, pp. 2100-2111.   DOI
16 G. Bansal, O. Duval, and F. Gagnon, "Joint Overlay and Underlay Power Allocation Scheme for OFDM-Based Cognitive Radio Systems," IEEE Veh. Technol. Conf., Taipei, Taiwan, May 16-19, 2010, pp. 1-5.
17 G. Bansal et al., "Subcarrier and Power Allocation for OFDMABased Cognitive Radio Systems with Joint Overlay and Underlay Spectrum Access Mechanism," IEEE Trans. Veh. Technol., vol. 62, no. 3, Mar. 2013, pp. 1111-1122.   DOI
18 S. Kim, B.G. Lee, and D. Park, "Energy-Per-Bit Minimized Radio Resource Allocation in Heterogeneous Networks," IEEE Trans. Wireless Commun., vol. 13, no. 4, Apr. 2014, pp. 1862-1873.   DOI
19 V. Chakravarthy et al., "A Novel Hybrid Overlay/Underlay Cognitive Radio Waveform in Frequency Selective Fading Channels," Int. Conf. Cognitive Radio Oriented Wireless Netw. Commun., Hannover, Germany, June 22-24, 2009, pp. 1-6.
20 D. Feng et al., "A Survey of Energy-Efficient Wireless Communications," IEEE Commun. Surveys Tutorials, vol. 15, no. 1, Feb. 2013, pp. 167-178.   DOI
21 J. Mao et al., "Energy Efficiency Optimization for OFDM-Based Cognitive Radio Systems: A Water-Filling Factor Aided Search Method," IEEE Trans. Wireless Commun., vol. 12, no. 5, May 2013, pp. 2366-2375.   DOI
22 Y. Wang et al., "Optimal Energy-Efficient Power Allocation for OFDM-Based Cognitive Radio Networks," IEEE Commun. Lett., vol. 16, no. 9, Sept. 2012, pp. 1420-1423.   DOI
23 M. Ge and S. Wang, "Energy-Efficient Power Allocation for Cooperative Relay Cognitive Radio Networks," IEEE Wireless Commun. Netw. Conf., Shanghai, China, Apr. 7-10, 2013, pp. 691-696.
24 W.J. Shi and S. Wang, "Energy-Efficient Resource Allocation in Cognitive Radio Systems," IEEE Wireless Commun. Netw. Conf., Shanghai, China, Apr. 7-10, 2013, pp. 4618-4623.
25 S. Wang, M. Ge, and W. Zhao, "Energy-Efficient Resource Allocation for OFDM-Based Cognitive Radio Networks," IEEE Trans. Commun., vol. 61, no. 8, Aug. 2013, pp. 3181-3191.   DOI
26 X. Cong, L. Lu, and G.Y. Li, "Energy-Efficient Spectrum Access in Cognitive Radios," IEEE J. Sel. Areas Commun., vol. 32, no. 3, Mar. 2014, pp. 550-562.   DOI