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Power Allocation in Heterogeneous Networks: Limited Spectrum-Sensing Ability and Combined Protection  

Ma, Yuehuai (Nanjing Institute of Communications Engineering, PLA University of Science and Technology)
Xu, Youyun (Nanjing Institute of Communications Engineering, PLA University of Science and Technology)
Zhang, Dongmei (Nanjing Institute of Communications Engineering, PLA University of Science and Technology)
Publication Information
Journal of Communications and Networks / v.13, no.4, 2011 , pp. 360-366 More about this Journal
Abstract
In this paper, we investigate the problem of power allocation in a heterogeneous network that is composed of a pair of cognitive users (CUs) and an infrastructure-based primary network. Since CUs have only limited effective spectrum-sensing ability and primary users (PUs) are not active all the time in all locations and licensed bands, we set up a new multi-area model to characterize the heterogeneous network. A novel combined interference-avoidance policy corresponding to different PU-appearance situations is introduced to protect the primary network from unacceptable disturbance and to increase the spectrum secondary-reuse efficiency. We use dual decomposition to transform the original power allocation problem into a two-layer optimization problem. We propose a low-complexity joint power-optimizing method to maximize the transmission rate between CUs, taking into account both the individual power-transmission constraints and the combined interference power constraint of the PUs. Numerical results show that for various values of the system parameters, the proposed joint optimization method with combined PU protection is significantly better than the opportunistic spectrum access mode and other heuristic approaches.
Keywords
Cognitive radio; combined protection; heterogeneous network; power allocation; spectrum sensing;
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1 D. P. Palomar and M. Chiang, "A tutorial on decomposition methods for network utility maximization," IEEE J. Sel. Areas Commun., vol. 24, no. 8, pp. 1439-1451, Aug. 2006.   DOI
2 L. Zhang, Y. Xin, and Y. C. Liang, "Weighted sum rate optimization for cognitive radio MIMO broadcast channels," IEEE Trans. Wireless Commun., vol. 8, no. 6, pp. 2950-2959, June 2009.   DOI
3 S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 2004.
4 Y. Zhang and C. Leung, "Cross-layer resource allocation for mixed services in multiuser OFDM-based cognitive radio systems," IEEE Trans. Veh. Technol., vol. 58, no. 8, pp. 4605-4619, Oct. 2009.   DOI
5 M. Almalfouh and L. Stuber, "Interference-aware power allocation in cognitive radio networks with imperfect spectrum sensing," in Proc. IEEE ICC, Cape Town, South Africa, pp. 1-6, May 2010.
6 R. Wang, V. Lau, L. Lv, and B. Chen, "Joint cross-layer scheduling and spectrum sensing for OFDMA cognitive radio systems," IEEE Trans. Wireless Commun., vol. 8, no. 5, pp. 2410-2416, May 2009.   DOI
7 T. A. Weiss and F. K. Jondral, "Spectrum pooling: An innovative strategy for the enhancement of spectrum efficiency," IEEE Commun. Mag., vol. 42, no. 3, pp. S8-S14, Mar. 2004.
8 W. Ren, Q. Zhao, and A. Swami, "Power control in cognitive radio networks: How to cross a multi-lane highway," IEEE J. Sel. Areas Commun., vol. 27, no. 7, pp. 1283-1296, Sept. 2009.   DOI
9 Y. Song and J. Xie, "Optimal power control for concurrent transmissions of location-aware mobile cognitive radio ad hoc networks," in Proc. IEEE GLOBECOM, Honolulu, USA, pp. 1-6, Nov. 2009.
10 S. Srinivasa and S. Jafar, "The throughput potential of cognitive radio: A theoretical perspective," IEEE Commun. Mag., vol. 45, no. 5, pp. 73-79, May 2007.   DOI
11 L. Gao and S. Cui, "Multi-band power and rate control for cognitive radios with energy constraints: A dynamic programming approach," in Proc. IEEE ICC, Beijing, China, May 2008, pp. 3563-3567.
12 "Draft standard for wireless regional area networks part 22: Cognitive wireless RAN medium access control (MAC) and physical layer (PHY) specifications: Policies and procedures for operation in the TV Bands," IEEE Std. 802.22, P802.22/D0.2, Nov. 2006.
13 Q. Zhao and B. M. Sadler, "A survey of dynamic spectrum access," IEEE Signal Process. Mag., vol. 24, no. 3, pp. 79-89, May 2007.   DOI
14 Y. C. Liang, Y. Zeng, E. Peh, and A. Hoang, "Sensing-throughput tradeoff for cognitive radio networks," IEEE Trans. Wireless Commun., vol. 7, no. 4, pp. 1326-1337, Apr. 2008.   DOI
15 A. J. Goldsmith and S. G. Chua, "Variable-rate variable-power MQAM for fading channels," IEEE Trans. Commun., vol. 45, no. 10, pp. 1218-1230, Oct. 1997.   DOI   ScienceOn
16 J. Mitola, III, "Cognitive radio: An integrated agent architecture for software defined radio," Ph.D. dissertation, KTH, Stockholm, Sweden, 2000.
17 Federal Communications Commission, "FCC adopts rule changes for smart radios," in Cognitive Radio Technologies Proceeding (CRTP), ET Docket No. 03-08, 2005.
18 S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb. 2005.   DOI
19 A. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, "Breaking spectrum gridlock with cognitive radios: An information theoretic perspective," Proc. IEEE, vol. 97, no. 5, pp. 894-914, 2009.
20 DARPA XG WG, "The XG Architectural Framework V1.0," 2003.
21 X. Kang, Y. C. Liang, A. Nallanathan, H. K. Garg and R. Zhang, "Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity," IEEE Trans. Wireless Commun., vol. 8, no. 2, pp. 940-950, Feb. 2009.   DOI
22 L. B. Le and E. Hossain, "Resource allocation for spectrum underlay in cognitive radio networks," IEEE Trans. Wireless Commun., vol. 7, no. 12, pp. 5306-5315, Dec. 2008.   DOI
23 M. Hoyhtya, A. Hekkala, M. Katz, and A. Mammela, "Spectrum awareness: Techniques and challenges for active spectrum sensing," Cognitive Wireless Networks, Eds. Springer, 2007, ch. 18, pp. 353-372.
24 Q. Zhao, L. Tong, A. Swami, and Y. Chen, "Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework," IEEE J. Select. Areas Commun., vol. 25, no. 3, pp. 589-600, Apr. 2007.   DOI
25 L. Musavian and S. Aissa, "Capacity and power allocation for spectrumsharing communications in fading channels," IEEE Trans. Wireless Commun., vol. 8, no. 1, pp.148-156, Jan. 2009.   DOI