Abstract
Cognitive radio (CR) with spectrum sharing allows new or secondary devices to co-exist with primary (licensed) users (PU) in accessing the spectrum. This is known as underlay CR. It allows the secondary users (SU) to transmit multimedia data services (video transmission) at low power and low data rate when the PU is using the spectrum. Hence SU can still enjoy uninterrupted video services with minimum tolerable quality. However, problem arises when SUs are subjected to interferences mainly from PU and other SUs. The objective of this paper is to provide error-free video transmission to SU in the underlay CR transmission by using an error resilience method, namely Multiple Description Coding (MDC). Since the underlay mode CR is characterized by low power, low data rate and possibly high packet loss rate, base layer video streaming of a Scalable Video Coding (SVC) with MDC is a feasible solution. The base layer video is coded using MDC with even and odd frames generating two descriptions. Simulation results show that transmitting video in the underlay CR using MDC perform better objectively and subjectively than using a single description coding (SDC).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ramli, N., Hashim, W., Mohamad, H., Abbas, M.: Cognitive Radio Technology: A Survey. My Convergence 5, 36–42 (2011)
Mohamedou, A., Sali, A., Ali, B.M., Othman, M.: Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks. In: 12th International Symposium on Communication and Information Technologies, pp. 770–775. IEEE Press, Gold Coast Australia (2012)
Luo, H., Ci, S., Wu, D.: A Cross-layer Design for the Performance Improvement of Real-time Video Transmission of Secondary Users over Cognitive Radio Networks. IEEE Transactions on Circuits and Systems for Video Technology 21, 1040–1048 (2011)
Hu, D., Mao, S., Hou, Y.T., Reed, J.H.: Scalable Video Multicast in Cognitive Radio Networks. IEEE Jounal on Selected Areas in Communications 28, 434–444 (2010)
Hu, D., Mao, S.: Streaming Scalable Videos over Multi-Hop Cognitive Radio Networks. IEEE Transactions on Wireless Communications 9, 3501–3511 (2010)
Bocus, M.Z., Coon, J.P., Canagarajah, C.N., McGeehan, J.P., Armour, S.M.D., Doufexi, A.: Resource Allocation for OFDMA-Based Cognitive Radio Networks with Application to H.264 Scalable Video Transmission. EURASIP Journal on Wireless Communications and Networking 245673, 10 (2011)
Guan, B., He, Y.: Optimal resource allocation for video streamingover cognitive radio networks. In: IEEE International Workshop on Multimedia Signal Processing, pp. 1–6. IEEE Press, Hangzhou (2011)
Abdul Karim, H., Mohamad, H., Ramli, N., Sali, A.: Scalable video over overlay/underlay cognitive radio network. In: 12th International Symposium on Communication and Information Technologies, pp. 668–672. IEEE Press Gold Coast, Australia (2012)
Chakravarthy, V., Li, X., Wu, Z., Temple, M.A., Garber, F., Kannan, R., Vasilakos, A.: Novel Overlay/Underlay Cognitive Radio Waveforms using SD-SMSE Framework to Enhance Spectrum Efficiency—Part I: Theoretical Framework and Analysis in AWGN Channel. IEEE Trans. On Communication 57, 3794–3804 (2009)
Oh, J., Choi, W.: A hybrid cognitive radio system: a combination of underlay and overlay approaches. In: IEEE Vehicular Technology Conference Fall, pp. 1–5. IEEE Press, Ottawa (2010)
Srinivasa, S., Jaafar, S.A.: The throughput potential of cognitive radio: a theoretical perspective. In: Asilomar Conference on Signals, Systems and Computers, pp. 221–225. Asilomar, CA (2006)
Wang, Y., Reibman, A.R., Lin, S.: Multiple Description Coding for Video Communications. IEEE Proceedings 93, 57–70 (2005)
Abdul Karim, H.: Multiple Description Coding for 3D Video. PhD Thesis. University of Surrey, UK (2008)
Li, H.: Multiple description source coding for cognitive radio systems. In: Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 1–5, ICST, Cannes (2010)
Chaoub, A., Ibn-Elhaj, E.: Multiple description coding for cognitive radio networks under secondary collision errors. In: 16th IEEE Mediterranean Electrotechnical Conference (MELECON), pp. 27–30. IEEE Press, Yasmine Hammamet (2012)
Sheng-yu, L., Wen-jun, X., Yan, G., Kai, N., Jia-ru, L.: Resource Allocation for Multiple Description Coding Multicast in OFDM-Based Cognitive Radio Networks. The Journal of China Universities of Posts and Telecommunication 19, 51–57 (2012)
Schwarz, H., Marpe, D., Wiegand, T.: Overview of the Scalable Video Coding Extension of The H.264/AVC Standard. IEEE Transactions on Circuits and Systems for Video Technology 17, 1103–1120 (2007)
Karim, H.A., Hewage, C.T.E.R., Worrall, S., Kondoz, A.M.: Scalable Multiple Description Video Coding for Stereoscopic 3D. IEEE Transaction on Consumer Electronics 54, 745–752 (2008)
Apostolopoulos, J.G.: Error-resilient video compression via multiple state streams. In: International Workshop on Very Low Bitrate Video Coding, Kyoto, Japan, pp. 168–171 (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Karim, H.A., Mohamad, H., Ramli, N., Sali, A. (2015). Multiple Description Video Coding for Underlay Cognitive Radio Network. In: Weichold, M., Hamdi, M., Shakir, M., Abdallah, M., Karagiannidis, G., Ismail, M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-319-24540-9_53
Download citation
DOI: https://doi.org/10.1007/978-3-319-24540-9_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24539-3
Online ISBN: 978-3-319-24540-9
eBook Packages: Computer ScienceComputer Science (R0)