Paper Info
Title
Improving Video Transmission in Cellular Networks with Cached and Segmented Video Download Algorithms.
Abstract
Satisfying the increasing demand for high data rates has become a main challenge for cellular network operators. Moreover, the demand for video traffic in cellular networks has been continuously increasing. In 2016, wireless video accounted for more than half of the total mobile data traffic, and it is expected to further increase in the upcoming years. This will increase the amount of data to be transmitted in cellular networks, and further increase the challenge for cellular network operators. Device-to-Device (D2D) communication, introduced by the Long Term Evolution-Advanced (LTE-A) standard, is a new communication technique that allows direct communication between devices in cellular networks without going through the Base-Station (BS). We present two algorithms for improving the throughput of video transmission in cellular networks. The algorithms are called (CSVD), and (DISCS). The algorithms send segments of video files to selected User Equipments (UEs) in the cellular network, to cache and forward them to requesting UEs using D2D communication. We study the performance of both algorithms analytically in terms of the hit ratio. Furthermore, we use the Discrete EVent System Specification (DEVS) formalism to build an LTE-A network model and use the model to study the performance of CSVD and DISCS in terms of the cell’s aggregate data rate as well as the average data rate. Simulation results show that CSVD and DISCS achieve significant performance improvements in terms of the aggregate and average data rates.
Year
DOI
Venue
2018
https://doi.org/10.1007/s11036-017-0906-x
MONET
Keywords
Field
DocType
Cellular networks,LTE-A,Hit ratio,D2D communication
Cache,Computer science,Computer network,Algorithm,Real-time computing,DEVS,Operator (computer programming),Cellular network,Throughput,Mobile broadband,Network model,LTE Advanced
Journal
Volume
Issue
ISSN
23
3
1383-469X
Citations 
PageRank 
References 
1
0.36
14
Authors
2
Name
Order
Citations
PageRank
Ala'a Al-Habashna1726.20
Gabriel A. Wainer21584227.77