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Erschienen in: Wireless Personal Communications 2/2017

15.05.2017

Adaptive Rateless Coding Technique for Data Dissemination in Multichannel Multiuser Cognitive Radio Networks

verfasst von: Hamid Farrokhi, Iman Pourmohammadi

Erschienen in: Wireless Personal Communications | Ausgabe 2/2017

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Abstract

In this paper, we study rateless coding technique for secondary user communication in a multi-channel multi-user cognitive radio network. Generally, a multi-channel multi-user cognitive radio system is a wireless network comprising several secondary users and one or more primary users. In order to combat with interference due to the appearance of either primary users or other secondary users, we assign rateless codes to each secondary user to transmit its input data packets. Rateless codes are a class of channel codes with exceptional performance in both erasure and noisy channels. However, when some input data packets have been reconstructed at the decoder or already known at the receiver, the code efficiency decreases as a result of repeated transmission of the encoded packets. This has led us to propose algorithms based on a novel type of these codes called adaptive rateless codes to improve the performance of secondary users in terms of throughput. Simulation results demonstrate the efficiency of the proposed algorithms on secondary users communication.

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Fußnoten
1
If \( P_{i} \ne P_{j} \), following (6) and the probability theory, we have to compute the pdf and cdf of \( \gamma_{i} (u) = \frac{{G_{i,i} }}{{\sum\nolimits_{j \ne i,j = 1}^{u} {\frac{{P_{j} G_{j,i} }}{{P_{i} }} + \frac{\phi }{{P_{i} }}} }} \).
 
2
In the literature of rateless codes, the number of input data packets is usually known at the receiver.
 
3
The value of c must ensure a reasonable overhead for LT codes.
 
4
The probabily of decoding failure is pre-determined at SUT i.
 
Literatur
1.
Zurück zum Zitat Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE JSAC, 23(2), 201–220. Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE JSAC, 23(2), 201–220.
2.
Zurück zum Zitat Sami, K. (2010). Coding for cognitive radio networks. Master’s degree project, Stockholm, Sweden. Sami, K. (2010). Coding for cognitive radio networks. Master’s degree project, Stockholm, Sweden.
3.
Zurück zum Zitat Elias, P. (1955). Coding for two noisy channels. In Proceedings of 3rd London symposium on information theory, London, UK (pp. 61–76). Elias, P. (1955). Coding for two noisy channels. In Proceedings of 3rd London symposium on information theory, London, UK (pp. 61–76).
4.
Zurück zum Zitat Kushwaha, H., Xing, Y., Chandramouli, R., & Heffes, H. (2008). Reliable multimedia transmission over cognitive radio networks using fountain codes. Proceedings-IEEE, 96(1), 155–165.CrossRef Kushwaha, H., Xing, Y., Chandramouli, R., & Heffes, H. (2008). Reliable multimedia transmission over cognitive radio networks using fountain codes. Proceedings-IEEE, 96(1), 155–165.CrossRef
5.
Zurück zum Zitat Yue, G., & Wang, X. (2009). Anti-jamming coding techniques with application to cognitive radio. IEEE Transaction on Wireless Communication, 8(12), 5996–6007.CrossRef Yue, G., & Wang, X. (2009). Anti-jamming coding techniques with application to cognitive radio. IEEE Transaction on Wireless Communication, 8(12), 5996–6007.CrossRef
6.
Zurück zum Zitat Shayegh, F., & Soleymani, M. R. (2011). Rateless codes for cognitive radio in a virtual unlicensed spectrum. In 34th IEEE Sarnoff Symposium (pp. 1–5). Shayegh, F., & Soleymani, M. R. (2011). Rateless codes for cognitive radio in a virtual unlicensed spectrum. In 34th IEEE Sarnoff Symposium (pp. 1–5).
7.
Zurück zum Zitat Chen, S., Zhang, Z., Chen, X., & Wu, K. (2010). Distributed spectrum access in cognitive radio network employing rateless codes. In Proceedings of IEEE global telecommunications conference (GLOBECOM). Chen, S., Zhang, Z., Chen, X., & Wu, K. (2010). Distributed spectrum access in cognitive radio network employing rateless codes. In Proceedings of IEEE global telecommunications conference (GLOBECOM).
8.
Zurück zum Zitat MacKay, D. J. C. (2005). Fountain codes. IEE Proceedings Communications, 152(6), 1062–1068.CrossRef MacKay, D. J. C. (2005). Fountain codes. IEE Proceedings Communications, 152(6), 1062–1068.CrossRef
9.
Zurück zum Zitat Broderson, R. W., Wolisz, A., Cabric, D. Mishra, S. M., & Willkomm, D. (2004). CORVUS: A cognitive radio approach for usage of virtual unlicensed spectrum. White Paper. Broderson, R. W., Wolisz, A., Cabric, D. Mishra, S. M., & Willkomm, D. (2004). CORVUS: A cognitive radio approach for usage of virtual unlicensed spectrum. White Paper.
10.
Zurück zum Zitat Chaoub, A., & Ibn-Elhaj, E. (2011). Markovian primary traffics in Cognitive Radio networks. In International conference on electrical and control engineering (ICECE) (pp. 5987–5991). Chaoub, A., & Ibn-Elhaj, E. (2011). Markovian primary traffics in Cognitive Radio networks. In International conference on electrical and control engineering (ICECE) (pp. 5987–5991).
11.
Zurück zum Zitat Zhao, Q., & Sadler, B. (2007). A survey of dynamic spectrum access: Signal processing, networking, and regularity policy. IEEE Signal Processing Magazine, 24(3), 79–89.CrossRef Zhao, Q., & Sadler, B. (2007). A survey of dynamic spectrum access: Signal processing, networking, and regularity policy. IEEE Signal Processing Magazine, 24(3), 79–89.CrossRef
12.
Zurück zum Zitat Zhang, W., Mallik, R. K., & Letaief, K. B. (2009). Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. IEEE Transaction on Wireless Communication, 8, 5761–5766.CrossRef Zhang, W., Mallik, R. K., & Letaief, K. B. (2009). Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. IEEE Transaction on Wireless Communication, 8, 5761–5766.CrossRef
13.
Zurück zum Zitat Ganesan, G., & Li, Y. (2007). Cooperative spectrum sensing in cognitive radio, part I: Two user networks. IEEE Transaction on Wireless Communications, 6(6), 2204–2213.CrossRef Ganesan, G., & Li, Y. (2007). Cooperative spectrum sensing in cognitive radio, part I: Two user networks. IEEE Transaction on Wireless Communications, 6(6), 2204–2213.CrossRef
14.
Zurück zum Zitat Hijaz, Z., Frost, V. S., & Davis, B. (2013). Probability density function of SINR in Nakagami-m fading with different channels. Technical Report, University of Kansas, Lawrence, Kansas.. Hijaz, Z., Frost, V. S., & Davis, B. (2013). Probability density function of SINR in Nakagami-m fading with different channels. Technical Report, University of Kansas, Lawrence, Kansas..
15.
Zurück zum Zitat Mitzeumacher, M. (2004). Digital fountain: A survey and look forward. In IEEE information theory workshop, San Antonio, TX. Mitzeumacher, M. (2004). Digital fountain: A survey and look forward. In IEEE information theory workshop, San Antonio, TX.
16.
Zurück zum Zitat Luby, M. (2002). LT codes. In Proceedings of 43rd annual IEEE symposium foundations of computer science (FOCS), Vancouver, BC, Canada (pp. 271–280). Luby, M. (2002). LT codes. In Proceedings of 43rd annual IEEE symposium foundations of computer science (FOCS), Vancouver, BC, Canada (pp. 271–280).
18.
Zurück zum Zitat MacKay, D. J. C. (2003). Information theory, inference, and learning algorithms. Cambridge: Cambridge University Press.MATH MacKay, D. J. C. (2003). Information theory, inference, and learning algorithms. Cambridge: Cambridge University Press.MATH
19.
Zurück zum Zitat Agarwal, S., Hagedorn, A., & Trachtenberg, A. (2008). Adaptive rateless coding under partial information. In Information theory and applications workshop (pp. 5–11). Agarwal, S., Hagedorn, A., & Trachtenberg, A. (2008). Adaptive rateless coding under partial information. In Information theory and applications workshop (pp. 5–11).
20.
Zurück zum Zitat Hagedorn, A., Agarwal, S., Starobinski, D., & Trachtenberg, A. (2009). Rateless coding with feedback. In IEEE INFOCOM (pp. 1791–1799). Hagedorn, A., Agarwal, S., Starobinski, D., & Trachtenberg, A. (2009). Rateless coding with feedback. In IEEE INFOCOM (pp. 1791–1799).
21.
Zurück zum Zitat Cassuto, Y., & Shokrollahi, A. (2015). Online fountain codes with low overhead. IEEE Transaction on Information Theory, 61, 3137–3149.MathSciNetCrossRefMATH Cassuto, Y., & Shokrollahi, A. (2015). Online fountain codes with low overhead. IEEE Transaction on Information Theory, 61, 3137–3149.MathSciNetCrossRefMATH
22.
Zurück zum Zitat Cataldi, P., Shatarski, M. P., Grangetto, M., & Magli, E. (2006). Implementation and performance evaluation of LT and Raptor codes for multimedia applications. In Proceedings of international conference on intelligent information hiding and multimedia signal processing. Cataldi, P., Shatarski, M. P., Grangetto, M., & Magli, E. (2006). Implementation and performance evaluation of LT and Raptor codes for multimedia applications. In Proceedings of international conference on intelligent information hiding and multimedia signal processing.
23.
Zurück zum Zitat Richardson, T. J., Shokrollahi, A., & Urbanke, R. L. (2001). Design of capacity-approaching irregular low-density parity-check codes. IEEE Transaction on Information Theory, 47(2), 619–637.MathSciNetCrossRefMATH Richardson, T. J., Shokrollahi, A., & Urbanke, R. L. (2001). Design of capacity-approaching irregular low-density parity-check codes. IEEE Transaction on Information Theory, 47(2), 619–637.MathSciNetCrossRefMATH
24.
Zurück zum Zitat Beimel, A., Dolev, S., & Singer, N. (2007). RT oblivious erasure correcting. IEEE/ACM Transactions on Networking, 15(6), 1321–1332.CrossRef Beimel, A., Dolev, S., & Singer, N. (2007). RT oblivious erasure correcting. IEEE/ACM Transactions on Networking, 15(6), 1321–1332.CrossRef
25.
Zurück zum Zitat Kamra, A., Misra, V., Feldman, J., & Rubenstein, D. (2006). Growth codes: Maximizing sensor network data persistence. In Proceedings of ACM SIGCOMM, New York, NY, USA (pp. 255–266). Kamra, A., Misra, V., Feldman, J., & Rubenstein, D. (2006). Growth codes: Maximizing sensor network data persistence. In Proceedings of ACM SIGCOMM, New York, NY, USA (pp. 255–266).
Metadaten
Titel
Adaptive Rateless Coding Technique for Data Dissemination in Multichannel Multiuser Cognitive Radio Networks
verfasst von
Hamid Farrokhi
Iman Pourmohammadi
Publikationsdatum
15.05.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4307-z

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