Title
Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks
Abstract
Real-time video streaming over long-term evolution (LTE) networks is investigated in the presence of mobile-to-mobile collaboration. A multi-objective problem for energy and distortion minimization is formulated and an energy-efficient, quality of service (QoS) aware suboptimal approach is presented for collaborative video transmission. In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. In each cluster, collaboration is implemented by having a cluster head send the content to other cluster members using a short-range wireless communications technology. The cluster heads receive the data on the long-range LTE links, either via unicasting or multicasting. LTE scheduling is taken into account on the long range transmissions. Videos with single description coding (SDC), multiple description coding (MDC), and scalable video coding (SVC) are considered. Results show that the proposed approach leads to significant energy savings and enhanced QoS compared to the non-collaborative scenario. Furthermore, MDC is shown to outperform SDC in terms of QoS, at the cost of a slight increase in energy consumption. The same conclusions were reached with respect to SVC compared to single layer coding.
Year
DOI
Venue
2013
10.1016/j.image.2013.05.007
Sig. Proc.: Image Comm.
Keywords
Field
DocType
single description coding,scalable video coding,lte network,cluster member,collaborative cluster,cluster head,cooperative video,joint energy-distortion aware algorithm,multiple description coding,aware suboptimal approach,lte scheduling,single layer coding,energy efficiency,lte
Multiple description coding,Wireless,Computer science,Efficient energy use,Scheduling (computing),Quality of service,Computer network,Multicast,Cluster analysis,Scalable Video Coding
Journal
Volume
Issue
ISSN
28
9
0923-5965
Citations 
PageRank 
References 
4
0.43
32
Authors
4
Name
Order
Citations
PageRank
Elias Yaacoub144144.96
Zaher Dawy286973.62
sanaa sharafeddine314523.26
Adnan Abu-Dayya422522.52