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Yaping Sun
Researcher at Shanghai Jiao Tong University
Publications - 28
Citations - 524
Yaping Sun is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Mobile edge computing & Wireless network. The author has an hindex of 10, co-authored 23 publications receiving 327 citations.
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Journal ArticleDOI
Communications, Caching, and Computing for Mobile Virtual Reality: Modeling and Tradeoff
TL;DR: A novel MEC-based mobile VR delivery framework that is able to cache parts of the field of views (FOVs) in advance and compute certain post-processing procedures on demand at the mobile VR device is presented.
Journal ArticleDOI
Communication-Constrained Mobile Edge Computing Systems for Wireless Virtual Reality: Scheduling and Tradeoff
TL;DR: A communications-constrained MEC framework to reduce communication- resource consumption by fully exploiting the computation and caching resources at the mobile VR device is developed and analytically finds that given a target communication-resource consumption, the transmission rate is inversely proportional to the computing ability of mobileVR device.
Journal ArticleDOI
Bandwidth Gain From Mobile Edge Computing and Caching in Wireless Multicast Systems
TL;DR: In this paper, the joint caching and computing policy at mobile devices is optimized to minimize the transmission bandwidth, subject to latency, caching, power and multicast transmission constraints, and the joint policy optimization problem is shown to be NP-hard.
Proceedings ArticleDOI
Communication, Computing and Caching for Mobile VR Delivery: Modeling and Trade-Off
TL;DR: This paper develops an implementation framework for mobile VR delivery by utilizing caching and computing capabilities of mobile VR device, and jointly optimize the caching and computation offloading policy for minimizing the required average transmission rate under the latency and local average energy consumption constraints.
Posted Content
Communications, Caching and Computing for Mobile Virtual Reality: Modeling and Tradeoff
TL;DR: In this article, a joint caching and computing decision problem was formulated to minimize the average required transmission rate while meeting a given latency constraint, and the closed-form expression for the optimal joint policy was obtained by transforming it into a linearly constrained indefinite quadratic problem.