An efficient power-loading scheme for OFDM-based cognitive radio systems

IEEE Transactions on Vehicular Technology

Volumn 59, Issue 4, 2010, Pages 1858-1864

  Zhang, Yonghong ^a   Leung, Cyril ^b  

^a GOOGLE INC   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Cognitive radio (CR); Orthogonal frequency division multiplexing (OFDM); Power allocation; Power loading; Resource allocation and interference management

Indexed keywords

COGNITIVE RADIO; EFFICIENT POWER; INTERFERENCE TEMPERATURE; LOW-COMPLEXITY; OPTIMAL SOLUTIONS; POWER ALLOCATIONS; POWER LOADING; RESOURCE ALLOCATION AND INTERFERENCE MANAGEMENT; SUBOPTIMAL SOLUTION;

COGNITIVE SYSTEMS; MULTIPLEXING; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; ORTHOGONAL FUNCTIONS; RADIO BROADCASTING; RADIO SYSTEMS; RESOURCE ALLOCATION;

RADIO;

EID: 77952282906     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2009.2039154     Document Type: Article

References (17)

1. S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol.23, no.2, pp. 201-220, Feb. 2005.
2. J. Mitola, III and G. Q. Maguire, Jr., "Cognitive radio: Making software radios more personal," IEEE Pers. Commun., vol.6, no.4, pp. 13-18, Aug. 1999.
3. 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.
4. Fed. Commun. Comm., Spectrum Policy Task Force Rep., 2002. FCC 02-135.
5. Fed. Commun. Comm., In the Matter of ET Docket No. 03-237, May 2007. Order FCC 07-78.
6. T. Weiss, J. Hillenbrand, A. Krohn, and F. K. Jondral, "Mutual interference in OFDM-based spectrum pooling systems," in Proc. IEEE 59th VTC-Spring, Milan, Italy, May 2004, vol.4, pp. 1873-1877. (Pubitemid 40391752)
7. G. Bansal, M. J. Hossain, and V. K. Bhargava, "Adaptive power loading for OFDM-based cognitive radio systems," in Proc. IEEE ICC, Glasgow, U.K., Jun. 2007, pp. 5137-5142.
8. T. Qin and C. Leung, "Fair adaptive resource allocation for multiuser OFDM cognitive radio systems," in Proc. 2nd Int. Conf. CHINACOM, Shanghai, China, Aug. 2007, pp. 115-119.
9. P. Wang, M. Zhao, L. Xiao, S. Zhou, and J. Wang, "Power allocation in OFDM-based cognitive radio systems," in Proc. IEEE GLOBECOM, Washington, DC, Nov. 2007, pp. 4061-4065.
10. P. Cheng, Z. Zhang, H.-H. Chen, and P. Qiu, "Optimal distributed joint frequency, rate and power allocation in cognitive OFDMA systems," IET Commun., vol.2, no.6, pp. 815-826, Jul. 2008.
11. P. Wang, X. Zhong, L. Xiao, S. Zhou, and J. Wang, "A general power allocation algorithm for OFDM-based cognitive radio systems," in Proc. IEEE ICC Workshops, Dresden, Germany, Jun. 2009, pp. 1-5.
12. 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.
13. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.
14. R. Gallager, Information Theory and Reliable Communication. New York: Wiley, 1968.
15. V. Erceg, L. J. Greenstein, S. Y. Tjandra, S. R. Parkoff, A. Gupta, B. Kulic, A. A. Julius, and R. Bianchi, "An empirically based path loss model for wireless channels in suburban environments," IEEE J. Sel. Areas Commun., vol.7, no.7, pp. 1205-1211, Jul. 1999.
16. R. W. Daniels, Approximation Methods for Electronic Filter Design. New York: McGraw-Hill, 1974.
17. A. Leke and J. M. Cioffi, "A maximum rate loading algorithm for discrete multitone modulation systems," in Proc. IEEE GLOBECOM, Phoenix, AZ, Nov. 1997, vol.3, pp. 1514-1518.