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Erschienen in: Wireless Personal Communications 2/2018

28.12.2017

Design and Evaluation of Self Organizing, Collision Free MAC Protocol for Distributed Cognitive Radio Networks

verfasst von: Irfan Latif Khan, Riaz Hussain, Adeel Iqbal, Atif Shakeel, Shakeel Alvi, Waseem Abbas, Qadeer ul Hasan, Shahzad A. Malik

Erschienen in: Wireless Personal Communications | Ausgabe 2/2018

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Abstract

A cognitive radio network has a high promise to improve spectrum utilization, through exploitation of spectrum holes from the primary network. However, in a distributed environment, employing contention based random access, collisions and unattempted slots result in waste of the discovered holes. This waste is even costlier for a CRN as resources are consumed in finding the holes. In this paper, we have proposed a self-organizing distributed CR-MAC protocol so that the contention is not required for medium access, thereby, minimizing the waste of opportunity due to collisions or for being left idle in random access, consequently, improving the spectral efficiency. This is achieved by organizing and queuing the active secondary users through a timer value and directing them in an orderly fashion to use the discovered holes. The proposed scheme successfully assigns a channel to more than 99% of the secondary users in less than 5% of the idle slots from the primary network, compared to that required in contention based random access schemes.

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Literatur
1.
Zurück zum Zitat Bandara, K. D. S., Melaragno, A., Wijesekera, D., & Costa, P. (2017). A case study of cognitive radio networks: Secure spectrum management for positive train control operations. In In spectrum Access and management for cognitive radio networks (pp. 121-152). Springer Singapore. Bandara, K. D. S., Melaragno, A., Wijesekera, D., & Costa, P. (2017). A case study of cognitive radio networks: Secure spectrum management for positive train control operations. In In spectrum Access and management for cognitive radio networks (pp. 121-152). Springer Singapore.
2.
Zurück zum Zitat Zhang, Y., Zheng, J., & Chen, H. H. (Eds.). (2016). Cognitive radio networks: Architectures, protocols, and standards. Wireless Networks and Mobile Communications Series (1st edn, pp. 484). CRC Press. Zhang, Y., Zheng, J., & Chen, H. H. (Eds.). (2016). Cognitive radio networks: Architectures, protocols, and standards. Wireless Networks and Mobile Communications Series (1st edn, pp. 484). CRC Press.
3.
Zurück zum Zitat Gavrilovska, L., Denkovski, D., Rakovic, V., & Angjelichinoski, M. (2014). Medium access control protocols in cognitive radio networks: Overview and general classification. IEEE Communications Surveys & Tutorials, 16(4), 2092–2124.CrossRef Gavrilovska, L., Denkovski, D., Rakovic, V., & Angjelichinoski, M. (2014). Medium access control protocols in cognitive radio networks: Overview and general classification. IEEE Communications Surveys & Tutorials, 16(4), 2092–2124.CrossRef
4.
Zurück zum Zitat Baldini, G., Holland, O., Stavroulaki, V., Tsagkaris, K., Demestichas, P., Polydoros, A., et al. (2013). The evolution of cognitive radio technology in Europe: Regulatory and standardization aspects. Telecommunications Policy, 37(2), 96–107.CrossRef Baldini, G., Holland, O., Stavroulaki, V., Tsagkaris, K., Demestichas, P., Polydoros, A., et al. (2013). The evolution of cognitive radio technology in Europe: Regulatory and standardization aspects. Telecommunications Policy, 37(2), 96–107.CrossRef
5.
Zurück zum Zitat Khattab, A., Perkins, D., & Bayoumi, M. (2012). Cognitive radio networks: From theory to practice. Berlin: Springer.MATH Khattab, A., Perkins, D., & Bayoumi, M. (2012). Cognitive radio networks: From theory to practice. Berlin: Springer.MATH
6.
Zurück zum Zitat Yu, F. R., & Tang, H. (2011). Cognitive radio mobile ad hoc networks (Vol. 507). New York: Springer.CrossRef Yu, F. R., & Tang, H. (2011). Cognitive radio mobile ad hoc networks (Vol. 507). New York: Springer.CrossRef
7.
Zurück zum Zitat Qiu, R. C., Hu, Z., Li, H., & Wicks, M. C. (2012). Cognitive radio communication and networking: Principles and practice. New York: Wiley.CrossRef Qiu, R. C., Hu, Z., Li, H., & Wicks, M. C. (2012). Cognitive radio communication and networking: Principles and practice. New York: Wiley.CrossRef
8.
Zurück zum Zitat Akyildiz, I. F., 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.CrossRefMATH Akyildiz, I. F., 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.CrossRefMATH
9.
Zurück zum Zitat Furtado, A., Irio, L., Oliveira, R., Bernardo, L., & Dinis, R. (2016). Spectrum sensing performance in cognitive radio networks with multiple primary users. IEEE Transactions on Vehicular Technology, 65(3), 1564–1574.CrossRef Furtado, A., Irio, L., Oliveira, R., Bernardo, L., & Dinis, R. (2016). Spectrum sensing performance in cognitive radio networks with multiple primary users. IEEE Transactions on Vehicular Technology, 65(3), 1564–1574.CrossRef
10.
Zurück zum Zitat Arefi, A., & Khabbazian, M. (2017). On the optimal set of channels to sense in cognitive radio networks. IEEE Communications Letters, 21(5), 1103–1106. Arefi, A., & Khabbazian, M. (2017). On the optimal set of channels to sense in cognitive radio networks. IEEE Communications Letters, 21(5), 1103–1106.
11.
Zurück zum Zitat Lim, S., & Lee, T. J. (2011). A self-scheduling multi-channel cognitive radio MAC protocol based on cooperative communications. IEICE Transactions on Communications, 94(6), 1657–1668.CrossRef Lim, S., & Lee, T. J. (2011). A self-scheduling multi-channel cognitive radio MAC protocol based on cooperative communications. IEICE Transactions on Communications, 94(6), 1657–1668.CrossRef
12.
Zurück zum Zitat Pandit, S., & Singh, G. (2015). Backoff algorithm in cognitive radio MAC protocol for throughput enhancement. IEEE Transactions on Vehicular Technology, 64(5), 1991–2000.CrossRef Pandit, S., & Singh, G. (2015). Backoff algorithm in cognitive radio MAC protocol for throughput enhancement. IEEE Transactions on Vehicular Technology, 64(5), 1991–2000.CrossRef
13.
Zurück zum Zitat Kwon, S., Kim, B., & Roh, B. H. (2014). Preemptive opportunistic MAC protocol in distributed cognitive radio networks. IEEE Communications Letters, 18(7), 1155–1158.CrossRef Kwon, S., Kim, B., & Roh, B. H. (2014). Preemptive opportunistic MAC protocol in distributed cognitive radio networks. IEEE Communications Letters, 18(7), 1155–1158.CrossRef
14.
Zurück zum Zitat Katiyar, P., & Rajawat, K. (2015). Channel-aware medium access control in multichannel cognitive radio networks. IEEE Communications Letters, 19(10), 1710–1713.CrossRef Katiyar, P., & Rajawat, K. (2015). Channel-aware medium access control in multichannel cognitive radio networks. IEEE Communications Letters, 19(10), 1710–1713.CrossRef
15.
Zurück zum Zitat Lal, S., & Mishra, A. (2003). A look ahead scheme for adaptive spectrum utilization. In Radio and Wireless Conference, 2003. RAWCON’03. Proceedings (pp. 83-86). IEEE. Lal, S., & Mishra, A. (2003). A look ahead scheme for adaptive spectrum utilization. In Radio and Wireless Conference, 2003. RAWCON’03. Proceedings (pp. 83-86). IEEE.
16.
Zurück zum Zitat Wang, F., Krunz, M., & Cui, S. (2008). Price-based spectrum management in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing, 2(1), 74–87.CrossRef Wang, F., Krunz, M., & Cui, S. (2008). Price-based spectrum management in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing, 2(1), 74–87.CrossRef
17.
Zurück zum Zitat Attar, A., Nakhai, M. R., & Aghvami, A. H. (2009). Cognitive radio game for secondary spectrum access problem. IEEE Transactions on Wireless Communications, 8(4), 2121–2131.CrossRef Attar, A., Nakhai, M. R., & Aghvami, A. H. (2009). Cognitive radio game for secondary spectrum access problem. IEEE Transactions on Wireless Communications, 8(4), 2121–2131.CrossRef
18.
Zurück zum Zitat Del Re, E., Pucci, R., & Ronga, L. S. (2012). Energy efficient non-cooperative methods for resource allocation in cognitive radio networks. Communications and Network, 4(1), 1–7.CrossRef Del Re, E., Pucci, R., & Ronga, L. S. (2012). Energy efficient non-cooperative methods for resource allocation in cognitive radio networks. Communications and Network, 4(1), 1–7.CrossRef
19.
Zurück zum Zitat Kotobi, K., Mainwaring, P. B., Tucker, C. S., & Biln, S. G. (2015). Data-throughput enhancement using data mining-informed cognitive radio. Electronics, 4(2), 221–238.CrossRef Kotobi, K., Mainwaring, P. B., Tucker, C. S., & Biln, S. G. (2015). Data-throughput enhancement using data mining-informed cognitive radio. Electronics, 4(2), 221–238.CrossRef
20.
Zurück zum Zitat Singh, J. S. P., & Rai, M. K. (2017). Cognitive radio intelligent-MAC (CR-i-MAC): Channel-diverse contention free approach for spectrum management. Telecommunication Systems, 64(3), 495–508.CrossRef Singh, J. S. P., & Rai, M. K. (2017). Cognitive radio intelligent-MAC (CR-i-MAC): Channel-diverse contention free approach for spectrum management. Telecommunication Systems, 64(3), 495–508.CrossRef
21.
Zurück zum Zitat Kotobi, K., & Biln, S. G. (2017). Spectrum sharing via hybrid cognitive players evaluated by an M/D/1 queuing model. EURASIP Journal on Wireless Communications and Networking, 2017(1), 85.CrossRef Kotobi, K., & Biln, S. G. (2017). Spectrum sharing via hybrid cognitive players evaluated by an M/D/1 queuing model. EURASIP Journal on Wireless Communications and Networking, 2017(1), 85.CrossRef
22.
Zurück zum Zitat Forde, T., & Doyle, L. (2013). A TV whitespace ecosystem for licensed cognitive radio. Telecommunications Policy, 37(2), 130–139.CrossRef Forde, T., & Doyle, L. (2013). A TV whitespace ecosystem for licensed cognitive radio. Telecommunications Policy, 37(2), 130–139.CrossRef
23.
Zurück zum Zitat Suris, J. E., DaSilva, L. A., Han, Z., & MacKenzie, A. B. (2007). Cooperative game theory for distributed spectrum sharing. In IEEE International Conference on Communications, 2007. ICC’07 (pp. 5282–5287). IEEE. Suris, J. E., DaSilva, L. A., Han, Z., & MacKenzie, A. B. (2007). Cooperative game theory for distributed spectrum sharing. In IEEE International Conference on Communications, 2007. ICC’07 (pp. 5282–5287). IEEE.
24.
Zurück zum Zitat Niyato, D., & Hossain, E. (2008). Competitive pricing for spectrum sharing in cognitive radio networks: Dynamic game, inefficiency of nash equilibrium, and collusion. IEEE Journal on Selected Areas in Communications, 26(1), 192–202.CrossRef Niyato, D., & Hossain, E. (2008). Competitive pricing for spectrum sharing in cognitive radio networks: Dynamic game, inefficiency of nash equilibrium, and collusion. IEEE Journal on Selected Areas in Communications, 26(1), 192–202.CrossRef
25.
Zurück zum Zitat Young, C. D. (1998). U.S. Patent No. 5,719,868. Washington, DC: U.S. Patent and Trademark Office. Young, C. D. (1998). U.S. Patent No. 5,719,868. Washington, DC: U.S. Patent and Trademark Office.
26.
Zurück zum Zitat Young, C. D., Krueger, R. W., Becker, M. S., Harwell, H. O., & Stevens, J. A. (2001). U.S. Patent No. 6,331,973. Washington, DC: U.S. Patent and Trademark Office. Young, C. D., Krueger, R. W., Becker, M. S., Harwell, H. O., & Stevens, J. A. (2001). U.S. Patent No. 6,331,973. Washington, DC: U.S. Patent and Trademark Office.
27.
Zurück zum Zitat IEEE 802.11 Working Group et al. (2012). Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. IEEE. IEEE 802.11 Working Group et al. (2012). Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. IEEE.
Metadaten
Titel
Design and Evaluation of Self Organizing, Collision Free MAC Protocol for Distributed Cognitive Radio Networks
verfasst von
Irfan Latif Khan
Riaz Hussain
Adeel Iqbal
Atif Shakeel
Shakeel Alvi
Waseem Abbas
Qadeer ul Hasan
Shahzad A. Malik
Publikationsdatum
28.12.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-5167-2

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