• No results found

Secondary-User-Friendly MAC for Different Pri-

B. Future Work

3. Secondary-User-Friendly MAC for Different Pri-

TDMA-based PU networks. By exploiting the unique property of the wireless fading channel and cross-layer design technique, the proposed secondary-user-friendly MAC protocol can improve the overall spectrum utilization. In the future research, we can extend the design experience to different types of PU networks, such as the contention-based PU networks and CDMA-based PU networks.

REFERENCES

[1] M. McHenry, “NSF spectrum occupancy measurements project summary,” Shared Spectrum Company, 2005. [Online]. Avail- able: http://www.sharedspectrum.com/inc/content/measurements/nsf/NSF Project Summary.pdf

[2] M. McHenry, P. Tenhula, D. McCloskey, D. Roberson, and C. Hood, “Chicago spectrum occupancy measurements & analysis and a long-term studies pro- posal,” in Proc. of the First International Workshop on Technology and Policy for Accessing Spectrum (TAPAS), Boston, Massachusetts, 2006.

[3] FCC Spectrum Policy Task Force, “Spectrum policy task force report,” ET Docket No. 02-135, 2002. [Online]. Available: http://hraunfoss.fcc.gov/ edocs public/attachmatch/DOC-228542A1.pdf

[4] FCC Spectrum Policy Task Force, “Establishment of an interference temperature metric to quantify and manage interference and to expand available unlicensed operation in certain fixed, mobile and satellite frequency band,” ET Docket No. 03-237, 2003. [Online]. Available: http://hraunfoss.fcc.gov/edocs public/attachmatch/FCC-03-289A1.pdf

[5] J. Mitola III, “Cognitive radio: an integrated agent architecture for software de- fined radio,” Ph.D. Thesis, Royal Institute of Technology, Stockholm, Sweden, 2000.

[6] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, February 2005, pp. 201–220.

[7] I. Akyildiz, W. Lee, M. Vuran, and S. Mohanty, “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey,” Elsevier Com- puter Networks, vol. 50, September 2006, pp. 2127–2159.

[8] N. Devroye, P. Mitran, and V. Tarokh, “Limits on communications in a cogni- tive radio channel,” IEEE Communications Magazine, vol. 44, no. 6, June 2006, pp. 44–49.

[9] A. Jovicic and P. Viswanath, “Cognitive radio: an information-theoretic per- spective,” IEEE Transactions on Information Theory, vol. 55, no. 9, September 2009, pp. 3945–3958.

[10] F. K. Jondral, “Software-defined radio: basics and evolution to cognitive radio,” EURASIP Journal on Wireless Communications and Networking, vol. 2005, no. 3, 2005, pp. 275–283.

[11] J. Mitola III and G.Q. Maguire, “Cognitive radio: making software radios more personal,” IEEE Personal Communications, vol. 6, no. 4, August 1999, pp. 13–18.

[12] Q. Zhao, L. Tong, and A. Swami, “Decentralized cognitive MAC for dynamic spectrum access,” in Proc. of the First IEEE International Symposium New Frontiers in Dynamic Spectrum Access Networks (DySPAN), November 2005, pp. 224–232.

[13] Q. Zhao, L. Tong, A. Swami, and Y. Chen, “Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: a POMDP framework,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 3, April 2007, pp. 589–600,.

[14] H. Su and X. Zhang, “Cross-layer based opportunistic MAC protocols for QoS provisionings over cognitive radio wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 1, January 2008, pp. 118–129.

[15] H. Su and X. Zhang, “Opportunistic MAC protocols for cognitive radio based wireless networks,” in Proc. of the 41st Annual Conference on Information Sciences and Systems (CISS), March 2007, pp. 363–368.

[16] H. Su and X. Zhang, “Cognitive radio based multi-channel mac protocols for wireless ad hoc networks,” in Proc. of the IEEE Global Telecommunications Conference (GLOBECOM), November 2007, pp. 4857–4861.

[17] H. Su and X. Zhang, “Channel-hopping based single transceiver MAC for cogni- tive radio networks,” in Proc. of the 42nd Annual Conferenceon on Information Sciences and Systems (CISS), March 2008, pp. 197–202.

[18] Y. Yuan, P. Bahl, R. Chandra, P. A. Chou, J. I. Ferrell, T. Moscibroda, S. Narlanka, and Y. Wu, “KNOWS: cognitive radio networks over white spaces,” in Proc. of the 2nd IEEE International Symposium on New Frontiers in Dy- namic Spectrum Access Networks (DySPAN), April 2007, pp. 416–427.

[19] S. Huang, X. Liu, and Z. Ding, “Optimal transmission strategies for dynamic spectrum access in cognitive radio networks,” IEEE Transactions on Mobile Computing, vol. 8, no. 12, December 2009, pp. 1636–1648.

[20] H. Su and X. Zhang, “CREAM-MAC: an efficient cognitive radio-enabled multi- channel MAC protocol for wireless networks,” in Proc. of the International Sym- posium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), June 2008, pp. 1–8.

[21] X. Zhang and H. Su, “CREAM-MAC: cognitive radio-enabled multi-channel MAC protocol over dynamic spectrum access networks,” IEEE Journal of Se- lected Topics in Signal Processing, Accepted to appear 2011.

[22] H. Su and X. Zhang, “Adaptive uplink MAC for CDMA-based cognitive radio networks,” in Proc. of the IEEE MILCOM, October 2009.

[23] X. Zhang and H. Su, “Opportunistic spectrum sharing schemes for CDMA- based uplink MAC in cognitive radio networks,” IEEE Journal on Selected Areas in Communications, Accepted to appear 2011.

[24] H. Su and X. Zhang, “Interference-confined adaptive transmission scheme for cognitive radio networks,” in Proc. of the IEEE International Conference on Communications (ICC), May 2010, pp. 1–5.

[25] B. Fette, “SDR technology implementation for the cognitive radio,” in Cognitive Radio Workshop, FCC, 2003. [Online]. Available: http: //www.fcc.gov/oet/cognitiveradio/

[26] A. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, “Breaking spectrum grid- lock with cognitive radios: an information theoretic perspective,” Proceedings of the IEEE, vol. 97, no. 5, May 2009, pp. 894–914.

[27] S. Sridharan and S. Vishwanath, “On the capacity of a class of MIMO cognitive radios,” IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 1, February 2008, pp. 103–117.

[28] I. Maric, A. Goldsmith, G. Kramer, and S. Shamai, “On the capacity of interfer- ence channels with a partially-cognitive transmitter,” in Proc. of the IEEE In- ternational Symposium Information Theory (ISIT), June 2007, pp. 2156–2160.

[29] P. Grover and A. Sahai, “On the need for knowledge of the phase in exploiting known primary transmissions,” in Proc. of the Second IEEE International Sym- posium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), April 2007, pp. 462–471.

[30] A. Nosratinia, T. E. Hunter, and A. Hedayat, “Cooperative communication in wireless networks,” IEEE Communications Magazine, vol. 42, no. 10, October 2004, pp. 74–80.

[31] A. Bletsas, H. Shin, and M. Z. Win, “Cooperative communications with outage- optimal opportunistic relaying,” IEEE Transactions on Wireless Communica- tions, vol. 6, no. 9, September 2007, pp. 3450–3460.

[32] D. Cabric, S. M. Mishra, and R. W. Brodersen, “Implementation issues in spectrum sensing for cognitive radios,” in Proc. of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 1, November 2004, pp. 772–776.

[33] A. Ghasemi and E. S. Sousa, “Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs,” IEEE Communications Maga- zine, vol. 46, no. 4, April 2008, pp. 32–39.

[34] K. R. Chowdhury and T. Melodia, “Platforms and testbeds for experimental evaluation of cognitive ad hoc networks,” IEEE Communications Magazine, vol. 48, no. 9, September 2010, pp. 96–104.

[35] I. Akyildiz, W. Lee, and K. Chowdhury, “CRAHNs: cognitive radio ad hoc networks,” Ad Hoc Networks, vol. 7, no. 5, 2009, pp. 810–836.

[36] T. Vamsi Krishna and A. Das, “A survey on MAC protocols in OSA networks,” Computer Networks, vol. 53, no. 9, 2009, pp. 1377–1394.

[37] C. Cormio and K. R. Chowdhury, “A survey on MAC protocols for cognitive radio networks,” Ad Hoc Networks, vol. 7, no. 7, 2009, pp. 1315 – 1329. [Online]. Available: http://www.sciencedirect.com/science/article/B7576-4VHSDJ5-1/ 2/639ebeccfcfd56e0380a799af8b6f55d

[38] A. Elezabi, M. Kashef, M. Abdallah, and M. M. Khairy, “Cognitive interference- minimizing code assignment for underlay CDMA networks in asynchronous mul- tipath fading channels,” in Proc. of the International Conference on Wireless Communications and Mobile Computing (IWCMC), June 2009, pp. 1279–1283. [39] B. Wang and D. Zhao, “Performance analysis in CDMA-based cognitive wireless networks with spectrum underlay,” in Proc. of the IEEE Global Communica- tions Conference (GLOBECOM), November 2008.

[40] A. T. Hoang and Y.-C. Liang, “A two-phase channel and power allocation scheme for cognitive radio networks,” in Proc. of the IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), September 2006.

[41] L. Zhang, Y.-C. Liang, and Y. Xin, “Joint beamforming and power allocation for multiple access channels in cognitive radio networks,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 1, January 2008, pp. 38–51. [42] Q. Qu, L. B. Milstein, and D. R. Vaman, “Cognitive radio based multi-user

resource allocation in mobile ad hoc networks using multi-carrier cdma mod- ulation,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 1, January 2008, pp. 70–82.