Energy-Efficient Joint Caching and Transcoding for HTTP Adaptive Streaming in 5G Networks with Mobile Edge Computing | IEEE Conference Publication | IEEE Xplore

Energy-Efficient Joint Caching and Transcoding for HTTP Adaptive Streaming in 5G Networks with Mobile Edge Computing

Publisher: IEEE

Abstract:

With the HTTP adaptive video streaming (HAS) transmission over mobile networks being widely concerned and the new promising technique of mobile edge computing (MEC) emerg...View more

Abstract:

With the HTTP adaptive video streaming (HAS) transmission over mobile networks being widely concerned and the new promising technique of mobile edge computing (MEC) emerging, the problem of HAS transmission in MEC-based 5G networks has been widely studied. However, most of them focus on the issues of network resource utilization and the quality of experience (QoE) promotion, while the problem of energy efficiency is largely ignored. In this paper, different from previous works, by taking the caching and transcoding into consideration, we propose a joint caching and transcoding schedule strategy for HAS delivery in MEC-enhanced 5G network to realize the energy efficiency. We formulate the problem of energy efficient joint caching and transcoding as an integer linear programming problem to minimize the system energy consumption. Then to make the NP-hard problem tractable, we introduce a heuristic scheme based on simulated annealing algorithm to iteratively provide the global optimum solution. Finally, simulation results are illustrated to show that our proposed strategy presents an excellent performance and provides practical significance to choose proper ways of responding users' content requests according to different hit modes.
Date of Conference: 20-24 May 2018
Date Added to IEEE Xplore: 05 July 2018
ISBN Information:
Electronic ISSN: 2474-9133
Publisher: IEEE
Conference Location: Kansas City, MO, USA

References

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