Abstract
This paper is a sequel of previous work, in which we have studied the traffic management problem in UMTS.
The main objective was to improve the spectral efficiency of cellular networks by employing network coding supported direct mobile-to-mobile communication on usually underloaded uplink channels for the distribution of a delay insensitive popular content in multicast manner. Simulations demonstrate the noticeable performance enhancement in terms of file download times and at the same time a substantial reduction of the number of necessary transmissions in both uplink and downlink directions.
However, popular content is often too large to be processed with a straightforward realization of network coding; combining the entire file to construct a single encoded block is impractical due to high encoding and decoding costs. To circumvent this problem, a novel concept is proposed in this paper. The scheme is based on processing popular content of virtually arbitrary size by embedding multiple generations into network coding.
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
Popova, L., Schmidt, A., Gerstacker, W., Koch, W.: Network Coding Assisted Mobile-to-Mobile File Transfer. In: Proc. of IEEE Australasian Telecommunication Networks and Applications Conference (ATNAC), Christchurch, New Zealand (December 2007)
Ahlswede, R., Cai, N., Li, S.Y.R., Yeung, R.W.: Network information flow. IEEE Trans. Information Theory 46 (July 2000)
Fragouli, C., Le Boudec, J.Y., Widmer, J.: Network Coding: An Instant Primer. Technical report, LCA-Report-2005-010 (2005)
Popova, L., Herpel, T., Koch, W.: Enhanced Downlink Capacity in UMTS supported by Mobile-to-Mobile Data Transfer. In: Akyildiz, I.F., Sivakumar, R., Ekici, E., Oliveira, J.C.d., McNair, J. (eds.) NETWORKING 2007. LNCS, vol. 4479, pp. 522–534. Springer, Heidelberg (2007)
Popova, L., Herpel, T., Koch, W.: Efficiency and Dependability of Direct Mobile-to-Mobile Data Transfer for UMTS Downlink in Multi-Service Networks. In: Proc. of IEEE Wireless Communications & Networking Conference (WCNC), Hong Kong (March 2007)
Popova, L., Herpel, T., Gerstacker, W., Koch, W.: Cooperative Mobile-to-Mobile File Dissemination in Cellular Networks within a Unified Radio Interface. Regular Issue of Computer Networks Journal (2008)
Ho, T., Medard, M., Koetter, R., Karger, D.R., Effros, M., Shi, J., Leong, B.: A random linear network coding approach to multicast. IEEE Trans. of Information Theory 52 (October 2006)
Sander, P., Egner, S., Tolhuizen, L.: Polynomial time algorithms for network informaton flow. In: Proc. of Symp. Parallel Algorithms and Archtectures. ACM, San Diego (2003)
Chou, P.A., Wu, Y., Jain, K.: Practical network coding. In: Proc. of Allerton Conference on Communications, Control and Computing, Monticello, IL, USA (October 2003)
Widmer, J., Le Boudec, J.Y.: Network coding for efficient communication in extreme networks. In: Proc. of ACM SIGCOMM Workshop on Delay-tolerant networking, Philadelphia, Pennsylvania, USA, August 2005, pp. 284–291 (2005)
Fragouli, C., Soljanin, E.: Network Coding Applications. Now Publishers Inc. (January 2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Popova, L.N., Gerstacker, W.H., Koch, W. (2010). Efficient Distribution of Large Files in UMTS Supported by Network Coded M2M Data Transfer with Multiple Generations. In: Zheng, J., Mao, S., Midkiff, S.F., Zhu, H. (eds) Ad Hoc Networks. ADHOCNETS 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11723-7_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-11723-7_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11722-0
Online ISBN: 978-3-642-11723-7
eBook Packages: Computer ScienceComputer Science (R0)