Joint resource allocation and edge computing forreal-time wireless video transmission*
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 7
Abstract
Video with increasing resolution has been one offundamental network applications, such popular and emerging application attracts a variety of attentions from both industry and academia. Due to the constrained computational capability, limited power supply and dynamic transmission bandwidth, there exists a gap for general users in widely existed wireless networks to obtain the same user experience as those in wirednetworks. This paper analyzes video decoding for general low-end mobile devices in wireless networks and divides this problem into: a novel video decoding architecture design, and resource allocation based on the novel architecture. First, a novel architecture of real-time video decoding for computation offloading is introduced for mobile devices. Second, based on the proposed architecture, a joint computation offloading and multicast resource allocation optimization problem is introduced to maximize user satisfaction ratio and minimize energy consumption. Third, a feasibility condition of the optimization problem is derived in terms of the computational task offloading for real-time videos. Forth, a low-complexity sub-optimal scheme with proved computational complexity is designed by dividing the original NP-hard optimization problem into sub-problems to accomplish group-user allocation, group-subchannel allocation, and offloading ratio calculation.
Authors and Affiliations
Quanxin Zhao
Keywords
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