An uplink resource allocation scheme for ofdma-based Cognitive radio networks

International Journal of Communication Systems

Volumn 22, Issue 5, 2009, Pages 603-623

  Wang, Wei ^a,b   Wang, Wenbo ^a   Lu, Qianxi ^a   Peng, Tao ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Cognitive radio; Interference temperature; OFDMA; Radio resource allocation; Subcarrier allocation; Water filling

Indexed keywords

COGNITIVE RADIO; INTERFERENCE TEMPERATURE; OFDMA; RADIO RESOURCE ALLOCATION; SUBCARRIER ALLOCATION; WATER-FILLING;

ASYMPTOTIC ANALYSIS; CELLULAR RADIO SYSTEMS; COMMUNICATION CHANNELS (INFORMATION THEORY); CONTROL THEORY; FILLING; FREQUENCY DIVISION MULTIPLE ACCESS; PLANNING; RADIO SYSTEMS; RESOURCE ALLOCATION; WATER ANALYSIS; WATER RESOURCES;

RADIO;

EID: 67649229182     PISSN: 10745351     EISSN: 10991131     Source Type: Journal    
DOI: 10.1002/dac.987     Document Type: Article

References (32)

1. FCC ET. Notice of proposed rule making and order. Docket No. 03-222, December 2003.
2. Mitola J, Maguire G. Cognitive radio: making software radios more personal. IEEE Personal Communications 1999; 6 (4) :13-18.
3. Mitola J. Cognitive radio: an integrated agent architecture for software defined radio. Doctor of Technology, Royal Institute of Technology (KTH), Stockholm, Sweden, 2000.
4. Haykin S. Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 2005; 23 (2) :201-220.
5. Akyildiz IF, Lee WY, Vuran MC, Mohanty S. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Computer Networks Journal (Elsevier) 2006; 50 (13) :2127-2159.
6. Peng C, Zheng H, Zhao BY. Utilization and fairness in spectrum assignment for opportunistic spectrum access. ACM Mobile Networks and Applications (MONET) 2006; ll (4) :555-576.
7. Xing Y, Mathur CN, Haleem MA, Chandramouli R, Subbalakshmi KR Dynamic spectrum access with QoS and interference temperature constraints. IEEE Transactions on Mobile Computing 2007; 6 (4) :423-433.
8. Nie N, Comaniciu C. Adaptive channel allocation spectrum etiquette for cognitive radio networks. IEEE DySPAN 2005, Baltimore, U. S. A., November 2005; 269-278.
9. Neel J, Reed JH, Gilles RR Convergence of cognitive radio networks. IEEE WCNC 2004, vol. 4, Atlanta, U. S. A., 2004; 2250-2255.
10. Gastpar M. Gaussian multiple-access channels under received-power constraints. IEEE ITW 2004, San Antonio, U. S. A., October 2004; 452-457.
11. Wang W, Peng T, Wang W Optimal power control under interference temperature constraints in cognitive radio network. IEEE WCNC 2007, Hong Kong, China, March 2007.
12. Wang W, Cui Y, Peng T, Wang W Noncooperative power control game with exponential pricing for cognitive radio network. IEEE VTC2007-Spring, Dublin, Ireland, April 2007.
13. Hoang AT, Liang Y. A two-phase channel and power allocation scheme for cognitive radio networks. IEEE PIMRC 2006, Helsinki, Finland, September 2006.
14. Li G, Liu H. On the optimality of the OFDMA network. IEEE Communications Letters 2005; 9 (5) :438-440.
15. Gallager RG. Information Theory and Reliable Communication. Wiley: New York, 1968.
16. Zeng C, Hoo LMC, Cioffi JM. Efficient water-filling algorithms for a Gaussian multiaccess channel with ISI. IEEE VTC2000-Fall, Boston, U. S. A., 2000; 1072-1077.
17. Jang J, Lee KB. Transmit power adaptation for multiuser OFDM systems. IEEE Journal on Selected Areas in Communications 2003; 21 (2) :171-178.
18. Kumaran K, Qian L. Uplink scheduling in CDMA packet-data systems. IEEE INFOCOM 2003, vol. 1, San Francisco, U. S. A., 2003; 292-300.
19. Kim K, Kim H, Han Y. Subcarrier and power allocation in OFDMA systems. IEEE VTC2004-Fall, vol. 2, Los Angeles, U. S. A., 2004; 1058-1062.
20. Song G, Li Y Cross-layer optimization for OFDM wireless networks-Part I: theoretical framework. IEEE Transactions on Wireless Communications 2005; 4 (2) :614-624.
21. Song G, Li Y. Cross-layer optimization for OFDM wireless networks-Part II: algorithm development. IEEE Transactions on Wireless Communications 2005; 4 (2) :625-634.
22. Ermolova NY, Makarevitch B. Low complexity adaptive power and subcarrier allocation for OFDMA. IEEE Transactions on Wireless Communications 2007; 6 (2) :433-437.
23. Mohanram C, Bhashyam S. A sub-optimal joint subcarrier and power allocation algorithm for multiuser OFDM. IEEE Communications Letters 2005; 9 (8) :685-687.
24. Huang SG, Hwang CH. Low complexity active interference cancellation for OFDM cognitive radios. IEEE WCNC 2008, Las Vegas, U. S. A., March 2008; 1279-1283.
25. Shi Q, Taubenheim D, Kyperountas S, Gorday P, Correal N. Link maintenance protocol for cognitive radio system with OFDM PHY. IEEE DySPAN 2007, Dublin, Ireland, April 2007; 440-443.
26. Hwang CH, Chen SC. Primary user signal detection in OFDM based cognitive radios. IEEE ICC 2008, Beijing, China, May 2008; 663-667.
27. Chu FS, Chen KC. Radio resource allocation in OFDMA cognitive radio systems. IEEE PIMRC 2007, Athens, Greece, September 2007.
28. Wang P, Zhao M, Xiao L, Zhou S, Wang J. Power allocation in OFDM-based cognitive radio systems. IEEE Globecom 2007, Washington, DC, U. S. A., November 2007; 4061-4065.
29. Peng T, Wang W, Lu Q, Wang W Subcarrier allocation based on water-filling level in OFDMA-based cognitive radio networks. IEEE Wicom 2007, Shanghai, China, September 2007; 196-199.
30. Lu Q, Wang W, Peng T, Wang W Efficient multiuser water-filling algorithm under interference temperature constraints in OFDMA-based cognitive radio networks. IEEE MAPE 2007, Beijing, China, August 2007; 174-177.
31. Peng T, Wang W, Lu Q, Wang W Asymptotic performance of uplink resource allocation for OFDMA-based cognitive radio networks. IEEE ICCS 2007, Guangzhou, China, November 2008.
32. Qiu X, Chawla K. On the performance of adaptive modulation in cellular systems. IEEE Transactions on Communications 1999; 47:884-895.