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http://dx.doi.org/10.1109/JCN.2013.000013

Performance Analysis of Opportunistic Spectrum Access Protocol for Multi-Channel Cognitive Radio Networks  

Kim, Kyung Jae (Digital Media & Communications R&D Center, SamSung Electronics)
Kwak, Kyung Sup (School of Information & Communication Eng. and UWB Wireless Communications Research Center, Inha University)
Choi, Bong Dae (Department of Mathematics, Sungkyunkwan University)
Publication Information
Abstract
Cognitive radio (CR) has emerged as one of effective methods to enhance the utilization of existing radio spectrum. Main principle of CR is that secondary users (SUs) are allowed to use the spectrum unused by primary users (PUs) without interfering PU's transmissions. In this paper, PUs operate on a slot-by-slot basis and SUs try to exploit the slots unused by PUs. We propose OSA protocols in the single channel and we propose an opportunistic spectrum access (OSA) protocols in the multi-channel cognitive radio networks with one control channel and several licensed channels where a slot is divided into contention phase and transmission phase. A slot is divided into reporting phase, contention phase and transmission phase. The reporting phase plays a role of finding idle channels unused by PUs and the contention phase plays a role of selecting a SU who will send packets in the data transmission phase. One SU is selected by carrier sense multiple access / collision avoidance (CSMA/CA) with request to send / clear to send (RTS/CTS) mechanism on control channel and the SU is allowed to occupy all remaining part of all idle channels during the current slot. For mathematical analysis, first we deal with the single-channel case and we model the proposed OSA media access control (MAC) protocol by three-dimensional discrete time Markov chain (DTMC) whose one-step transition probability matrix has a special structure so as to apply the censored Markov chain method to obtain the steady state distribution.We obtain the throughput and the distribution of access delay. Next we deal with the multi-channel case and obtain the throughput and the distribution of access delay by using results of single-channel case. In numerical results, our mathematical analysis is verified by simulations and we give numerical results on throughput and access delay of the proposed MAC protocol. Finally, we find the maximum allowable number of SUs satisfying the requirements on throughput and access delay.
Keywords
Access delay; Markov chain; multi-channel cognitive radio network; opportunistic spectrum access; throughput;
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  • Reference
1 S. Haykin, "Cognitive radio: Brain-empowered wireless communications," Sel. Areas Commun., vol.23, pp.201-220, Feb. 2005.   DOI   ScienceOn
2 I. Akyildiz, W. Lee, M. Vuran, and S. Mohanty, "Next generation dynamic spectrum access/cognitive radio wireless networks: a survey," Computer Networks, vol.50, pp.2127-2159, Sept. 2006.   DOI   ScienceOn
3 T.Vamsi Krishna and A.Das, "A suvey on MAC protocols in OSA networks," Computer Networks, vol.53, pp.1377-1394, June 2009.   DOI   ScienceOn
4 "Local and metropolitan area networks - Part 11: Wireless LAN Medium Access Control and Physical Layer Specifications," IEEE 802.11-2007 Standard, June 2007.
5 H. Fan, C. Kung, and C. Chou, "Adaptive Transmission Protocol for Protection of Primary Users in Cognitive Radio," in Proc. IEEE ICC, pp.3203-3207, May 2008.
6 A. Hoang, D. Wong, and Y. Liang, "Design and analysis for an 802.11-based cognitive radio network," in Proc. IEEE WCNC, pp.1-6, Apr. 2009.
7 K. Kim, J. Park, Y. Bae, and B. Choi, "Performance Analysis of a Slotted Multi-Channel MAC Protocol for Cognitive Radio Networks," in Proc. QTNA, pp.137-144, July 2010.
8 Y. Bae, A. Alfa, and B. Choi, "Performance Analysis of Modified IEEE 802.11-based Cognitive Radio Networks,"IEEE Commun. Lett., vol.14, no.10, pp.975-977, Oct. 2010.   DOI   ScienceOn
9 J. Chong, Y. Sung, and D. Sung, "RawPEACH: Multiband CSMA/CABased Cognitive Radio Networks,"J. Commun. Netw., vol.11, no.2, pp.174-185, Apr. 2009.
10 L. Zhai, K. Liu, Y. Liu, M. Yang, and L. Zhuang, "A Slot-Based MAC Protocol in Cognitive Radio Wireless Networks," in Proc. WICOM, pp.1-4, Oct. 2008.
11 H. Su, and X. Zhang, "Opportunistic MAC Protocols for Cognitive Radio Based Wireless Networks," in Proc. CISS, pp.363-368, Mar. 2007.
12 H. Su, and X. Zhang, "Cross-layer based opportunistic MAC protocols for QoS provisionings over cognitive radio wireless networks," IEEE J. Sel. Areas Commun., vol.26, no.1, pp.118-129, Jan. 2008.   DOI   ScienceOn
13 Y. Zhang, S. Liew, and D. Chen, "Sustainable Throughput of Wireless LANs with Multipacket Reception Capability under Bounded Delay-Moment Requirements,"IEEE Trans. Mobile Comput., vol.9, no.9, pp.1226-1241, Sept. 2010.   DOI   ScienceOn
14 C. Corderio, K. Challapali, D. Birru, and S. Shankar, "IEEE 802.22: An introduction to the first wireless standard based on cognitive radios,"J. Commun., vol.1, no.1, pp.38-47, Apr. 2006.
15 G. Latouche, and V. Ranaswami, "Introduction to matrix analytic methods in stochastic modeling," in Proc. SIAM, Jan. 1999.
16 M. Mchenry. (2003, June). Spectrum white space measurements. New America Foundation Broadband Forum. [Online]. Available: http://www.newamerica.net/files/nafmigration/archive/Doc_File_185_1.pdf.
17 Federal communications commission (FCC).(2003, Nov.). FCC-03-289A1. [Online]. Available: http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-03-289A1.pdf.
18 M. McHenry, "Frequency agile spectrum access technologies," in Proc. FCC Workshop Cognitive Radio, May 2003.