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Published in: Wireless Personal Communications 2/2018

28-12-2017

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

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

Published in: Wireless Personal Communications | Issue 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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Literature
1.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
Metadata
Title
Design and Evaluation of Self Organizing, Collision Free MAC Protocol for Distributed Cognitive Radio Networks
Authors
Irfan Latif Khan
Riaz Hussain
Adeel Iqbal
Atif Shakeel
Shakeel Alvi
Waseem Abbas
Qadeer ul Hasan
Shahzad A. Malik
Publication date
28-12-2017
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-5167-2

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