A Novel DSA-Driven MAC Protocol for Cognitive Radio Networks
Affiliation(s)
School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China.
School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China.
ABSTRACT
With the deployment of more wireless applications, spectrum scarcity becomes an issue in many countries. Recent reports show that the reason for this spectrum shortage is the underutilization of some spectrum re-sources. Fortunately, the emergence of open spectrum and dynamic spectrum assess (DSA) technology in cognitive radio networks relieves this problem. In this paper, we propose a novel DSA-driven cognitive MAC protocol to achieve highly efficient spectrum usage and QoS provisioning. In the proposed protocol, secondary users are divided into several non-overlapping groups, and all leftover channels are allocated among groups taking the groups’ bandwidth requirements into consideration. Moreover, the allocation of vacant channels can be adjusted dynamically when members join/leave groups or primary users return/leave the current network. Simulations show that the proposed MAC protocol greatly improves the quality of ser-vice for secondary users and maximizes the utilization ratio of spectrum resources.
With the deployment of more wireless applications, spectrum scarcity becomes an issue in many countries. Recent reports show that the reason for this spectrum shortage is the underutilization of some spectrum re-sources. Fortunately, the emergence of open spectrum and dynamic spectrum assess (DSA) technology in cognitive radio networks relieves this problem. In this paper, we propose a novel DSA-driven cognitive MAC protocol to achieve highly efficient spectrum usage and QoS provisioning. In the proposed protocol, secondary users are divided into several non-overlapping groups, and all leftover channels are allocated among groups taking the groups’ bandwidth requirements into consideration. Moreover, the allocation of vacant channels can be adjusted dynamically when members join/leave groups or primary users return/leave the current network. Simulations show that the proposed MAC protocol greatly improves the quality of ser-vice for secondary users and maximizes the utilization ratio of spectrum resources.
Cite this paper
nullH. SONG and X. LIN, "A Novel DSA-Driven MAC Protocol for Cognitive Radio Networks," Wireless Sensor Network, Vol. 1 No. 2, 2009, pp. 112-121. doi: 10.4236/wsn.2009.12017.
nullH. SONG and X. LIN, "A Novel DSA-Driven MAC Protocol for Cognitive Radio Networks," Wireless Sensor Network, Vol. 1 No. 2, 2009, pp. 112-121. doi: 10.4236/wsn.2009.12017.
References
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[1] M. Mchenry, “Spectrum white space measurements,” New America Foundation Broadband Forum, June 2003. [2] FCC, “Et docket no. 03-237,” November 2003. http://hraunfoss.fcc.gov/edocs public/attachmatch/FCC-03-289A1.pdf. [3] I. F. Akyildiz, W. Y. Lee, M. C. Vuran, and S. Mohanty, “Next generation/dynamic spectrum access/cognitive ra-dio wireless networks: A survey,” Computer Networks, 2006. [4] K. G. Shin and B. Hamdaoui, “OS-MAC: An efficient MAC protocol for spectrum-agile wireless networks,” Transactions on Mobile Computing, 2007. [5] J. Jia, Q. Zhang, and X. Shen, “HC-MAC: A hard-ware-constrained cognitive MAC for efficient spectrum management,” IEEE Journal on Selected Areas in Com-munications, Vol. 26, No. 1, pp. 106–117, January 2008. [6] H. Su and X. Zhang, “Cross-layer based opportunistic MAC protocols for QoS provisionings over cognitive ra-dio wireless networks,” IEEE Journal on Selected Areas in Communications, Vol. 26, No. 1, pp. 118–129, January 2008. [7] T. Mansi, V. S., and P. Ravi, “CSMA-based MAC pro-tocol for cognitive radio networks,” World of Wireless, Mobile and Multimedia Networks, IEEE International Symposium, pp. 1–8, June 2007. [8] A. Mishra, “A multi-channel MAC for opportunistic spectrum sharing in cognitive networks,” Proceedings of MILCOM 2006, October 2006. [9] L. Ma, X. Han, and C. C. Shen, “Dynamic open spectrum sharing MAC protocol for wireless ad hoc networks,” in IEEE International Symposium on New Frontiers in Dy-namic Spectrum Access Networks, pp. 203–213, 2005. [10] J. So and N. Vaidya, “Multi-channel MAC for ad-hoc networks: Handling multi-channel hidden terminals using a single transceiver,” in ACM Proceedings of MOBIHOC, 2004, pp. 222–233. [11] J. Zhao, H. Zheng, and G. H. Yang, “Distributed coordi-nation in dynamic spectrum allocation networks,” in IEEE International Symposium on New Frontiers in Dy-namic Spectrum Access Networks, pp. 259–268, 2005. [12] N. Nie and C. Comaniciu, “Adaptive channel allocation spectrum etiquette for cognitive radio networks,” in IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 269–278, 2005. [13] C. Corderio, K. Challapali, D. Birru, and S. Shankar, “IEEE 802.22: An introduction to the first wireless stan-dard based on cognitive radios,” Journal of Communica-tions, Vol. 1, No. 1, pp. 38–47, April 2006. [14] IEEE Standard 802.11 – 1999, “Wireless LAN medium access control (MAC) and physical layer (PHY) specifi-cations,” November 1999. [15] L. Kleinrock and F. Tobagi, “Packet switching in radio channels: Part I - carrier sense multiple-access modes and their throughput-delay characteristics,” IEEE Transac-tions on Communications, No. 23, pp. 1400–1416, De-cember 1975. [16] P. Apkarian and H. D. Tuan, “Robust control via concave minimization local and global algorithms,” IEEE Trans-actions on Automatic Control, Vol. 45, No. 2, pp. 299– 305, February 2000. [17] W. Wang, T. Peng, and W. Wang, “Optimal power con-trol under interference temperature constraints in cogni-tive radio network,” Wireless Communications and Net-working Conference, WCNC 2007 IEEE, pp. 116–120, March 11–15, 2007. [18] The network simulator (ns-2). http://www.isi.edu/nnsnam/ns/.