Abstract
Cognitive radio has attracted considerable attention as an enabling technology for addressing the problem of radio frequency shortages. In cognitive radio networks (CRNs), secondary users (SUs) are allowed to opportunistically utilize the licensed spectrum bands of primary users (PUs) when these bands are temporarily unused. Thus, SUs should monitor the licensed spectrum bands to detect any PU signal. According to the sensing outcomes, SUs should vacate the spectrum bands or may use them. Generally, the spectrum sensing accuracy depends on the sensing time which influences the overall throughput of SUs. That is, there is a fundamental tradeoff between the spectrum sensing time and the achievable throughput of SUs. To determine the optimal sensing time and improve the throughput of SUs, considerable efforts have been expended under the saturated traffic and ideal channel assumptions. However, these assumptions are hardly valid in practical CRNs. In this paper, we provide the framework of an 802.11-based medium access control for CRNs, and we analyze this framework to find the optimal spectrum sensing time under the saturated and unsaturated traffic condition. Through simulation, the proposed analytic model is verified and the fundamental problem of the sensing-throughput tradeoff for CRNs is investigated.
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References
Federal Communications Commission. (2002). Spectrum policy task force report, FCC 02–155.
Mitola, J., & Maguire, G. Q. (1999). Cognitive radios: Making software radios more personal. IEEE Personal Communications, 6(4), 13–18.
Mitola, J. (2000). Cognitive radio: An integrated agent architecture for software defined radio. Ph.D. Dissertation, Royal Institute of Technology (KTH), Stockholm, Sweden.
Liang, Y., Zen, Y., Peh, E. C. Y., & Hoang, A. T. (2008). Sensing-throughput tradeoff for cognitive radio networks. IEEE Transactions on Wireless Communication, 7(4), 1326–1338.
Huang, S., Liu, X., Ding, Z. (2009). Optimal sensing-transmission structure for dynamic spectrum access. In Proceedings of IEEE INFOCOM (pp. 2295–2303).
Tang, L., Chen, Y., Hines, E. L., & Alouini, M. (2011). Effect of primary user traffic on sensing-throughput tradeoff for cognitive radios. IEEE Transactions on Wireless Communications, 10(4), 1063–1068.
Akyildiz, I., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2006). Next generation dynamic spectrum access cognitive radio wireless networks: A survey. Computer Networks, 50(13), 2127–2159.
Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications on Surveys and Tutorials, 11(1), 115–130.
Zhao, Q., Tong, L., Swami, A., & Chen, Y. (2007). Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework. IEEE Journal of Selected Areas in Communications, 25(3), 589–600.
Zhao, Q., Geirhofer, S., Tong, L., & Sadler, B. M. (2008). Opportunistic spectrum access via periodic channel sensing. IEEE Transactions on Signal Processing, 56(2), 785–796.
Jia, J., Zhang, Q., & Shen, X. (2008). HC-MAC: A hardware-constrained cognitive MAC for efficient spectrum management. IEEE Journal of Selected Areas in Communications, 26(1), 106–117.
Liu, X., Krishnamachari, B., Liu, H. (2010). Channel selection in multichannel opportunistic spectrum access networks with perfect sensing. In Proceedings of IEEE DySPAN (pp. 1–8).
Wang, Y., Ren, P., & Wu, G. (2010). A throughput-aimed MAC protocol with QoS provision for cognitive ad hoc networks. IEICE Transactions on Communication, 93–B(6), 1426–1429.
Wang, F., Krunz, M., & Cui, S. (2008). Price-based spectrum management in cognitive radio networks. IEEE Journal of Selective Topics in Signal Processing, 2, 74–87.
Wang, Y., Ren, P., & Su, Z. (2011). Polarization based long-range communication directional MAC protocol for cognitive ad hoc networks. IEICE Transactions on Communication, 94–B(5), 1265–1275.
IEEE 802.11 standard. (1999). Wireless LAN medium access control (MAC) and physical layer(PHY) specifications. ANSI/IEEE Std 802.11, Edition.
Bianchi, G. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal of Selective Areas in Communication, 18(3), 535–547.
IEEE 802.11 standard. (2007). Part 11: wireless LAN medium access control (MAC) and physical layer(PHY) specifications. ANSI/IEEE Std 802.11, Edition.
IEEE 802.22 standard. IEEE 802.22 working group on wireless regional area networks. http://www.ieee802.org/22/.
Stevenson, C., Chouinard, G., Lei, Z., Hu, W., Shellhammer, S., & Caldwell, W. (2009). IEEE 802.22: The first cognitive radio wireless regional area network standard. , IEEE on Communications Magazine, 47(1), 130–138.
Acknowledgments
This research was supported by the MSIP (Ministry of Science, ICT & Future Planning), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2013-H0301-13-3002). This study was supported by Brain Korea 21 PLUS project.
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Ko, H., Lee, J. & Kim, C. The Optimal Spectrum Sensing Time for Maximizing Throughput of 802.11-Based MAC Protocol for Cognitive Radio Networks Under Unsaturated Traffic Conditions. Wireless Pers Commun 77, 1397–1414 (2014). https://doi.org/10.1007/s11277-013-1587-9
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DOI: https://doi.org/10.1007/s11277-013-1587-9