Yu Y.-J.Hsiu P.-C.Pang A.-C.AI-CHUN PANG2019-07-112019-07-1120109781424456383https://scholars.lib.ntu.edu.tw/handle/123456789/413254Scalable 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.4g wireless systemsAdaptive modulation and codingEnergy efficiencyScalable video multicast[SDGs]SDG74G 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 modulationconference paper10.1109/GLOCOM.2010.56837602-s2.0-79551631257https://www.scopus.com/inward/record.uri?eid=2-s2.0-79551631257&doi=10.1109%2fGLOCOM.2010.5683760&partnerID=40&md5=bf5e36c0556f60d4460976b07388dbe2