Power-aware scalable video multicast in 4G wireless systems
Journal
IEEE Global Telecommunications Conference
ISBN
9781424456383
Date Issued
2010
Author(s)
Abstract
Scalable video coding with adaptive modulation and coding is a promising technique to provide real-time multicast services for heterogeneous mobile devices. Nevertheless, as the rapid growth of data communication for emerging applications, energy consumption is an critical challenge of mobile devices. This paper targets the problem of resource allocation for scalable video multicast with adaptive modulation-coding schemes in next generation cellular wireless networks, with an objective to minimize the total energy consumption of all mobile devices for reception. We show the N P-hardness of the target problem and propose a 2-approximation algorithm. Extensive simulations are conducted to compare the proposed algorithm with a brute-force optimal algorithm and a conventional approach, which provides some useful insights into power-aware scalable video multicast in 4G wireless systems. ?2010 IEEE.
Subjects
4g wireless systems
Adaptive modulation and coding
Energy efficiency
Scalable video multicast
SDGs
Other Subjects
4G wireless; Adaptive modulation and coding; Cellular wireless networks; Coding scheme; Conventional approach; Critical challenges; Data-communication; Emerging applications; Energy consumption; Extensive simulations; Heterogeneous mobile devices; Multicast services; Optimal algorithm; Power-aware; Rapid growth; Scalable video coding; Scalable video multicast; Total energy consumption; Approximation algorithms; Delta modulation; Energy efficiency; Energy utilization; Mobile devices; Mobile telecommunication systems; Multicasting; Network coding; Portable equipment; Telecommunication; Wireless networks; Adaptive modulation
Type
conference paper