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| Ya-Ju Yu, Pi-Cheng Hsiu, Ai-Chun Pang, "Energy-Efficient Video Multicast in 4G Wireless Systems," IEEE Transactions on Mobile Computing, vol. 11, no. 10, pp. 1508-1522, Oct., 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/TMC.2011.186, author = {Ya-Ju Yu and Pi-Cheng Hsiu and Ai-Chun Pang}, title = {Energy-Efficient Video Multicast in 4G Wireless Systems}, journal ={IEEE Transactions on Mobile Computing}, volume = {11}, number = {10}, issn = {1536-1233}, year = {2012}, pages = {1508-1522}, doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2011.186}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Mobile Computing TI - Energy-Efficient Video Multicast in 4G Wireless Systems IS - 10 SN - 1536-1233 SP1508 EP1522 EPD - 1508-1522 A1 - Ya-Ju Yu, A1 - Pi-Cheng Hsiu, A1 - Ai-Chun Pang, PY - 2012 KW - Modulation KW - Tiles KW - Resource management KW - Energy consumption KW - Streaming media KW - Approximation algorithms KW - Static VAr compensators KW - 4G wireless systems. KW - Energy efficiency KW - video multicast KW - scalable video coding KW - multiple description coding KW - adaptive modulation and coding VL - 11 JA - IEEE Transactions on Mobile Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2011.186
Layer-based video coding, together with adaptive modulation and coding, is a promising technique for providing real-time video multicast services on heterogeneous mobile devices. With the rapid growth of data communications for emerging applications, reducing the energy consumption of mobile devices is a major challenge. This paper addresses the problem of resource allocation for video multicast in fourth-generation wireless systems, with the objective of minimizing the total energy consumption for data reception. First, we consider the problem when scalable video coding is applied. We prove that the problem is {\cal NP}-hard and propose a 2--approximation algorithm to solve it. Then, we investigate the problem under multiple description coding, and show that it is also {\cal NP}--hard and cannot be approximated in polynomial time with a ratio better than 2, unless {\cal P}={\cal NP}. To solve this case, we develop a pseudopolynomial time 2-approximation algorithm. The results of simulations conducted to compare the proposed algorithms with a brute-force optimal algorithm and a conventional approach are very encouraging.
Index Terms:
Modulation,Tiles,Resource management,Energy consumption,Streaming media,Approximation algorithms,Static VAr compensators,4G wireless systems.,Energy efficiency,video multicast,scalable video coding,multiple description coding,adaptive modulation and coding
Citation:
Ya-Ju Yu, Pi-Cheng Hsiu, Ai-Chun Pang, "Energy-Efficient Video Multicast in 4G Wireless Systems," IEEE Transactions on Mobile Computing, vol. 11, no. 10, pp. 1508-1522, Oct. 2012, doi:10.1109/TMC.2011.186
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