Paper Info
Title
Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks
Abstract
With the advent of the modern mobile traffic, e.g., online gaming, augmented reality delivery and etc., a novel bidirectional computation task model where the input data of each task consists of two parts, one generated at the mobile device in real-time and the other originated from the Internet proactively, is emerging as an important use case of 5G. In this paper, for ease of analytical analysis, we consider the homogeneous bidirectional computation task model in a mobile edge network which consists of one mobile edge computing (MEC) server and one mobile device, both enabled with computing and caching capabilities. Each task can be served via three mechanisms, i.e., local computing with local caching, local computing without local caching and computing at the MEC server. To minimize the average bandwidth, we formulate the joint caching and computing optimization problem under the latency, cache size and average power constraints. We derive the closed-form expressions for the optimal policy and the minimum bandwidth. The tradeoff among communications, computing and caching is illustrated both analytically and numerically, which provides insightful guideline for the network designers.
Year
DOI
Venue
2020
10.1109/VTC2020-Fall49728.2020.9348802
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)
Keywords
DocType
ISSN
Bandwidth Minimization,Bidirectional Computation Task,Joint Caching and Computing
Conference
1090-3038
ISBN
Citations 
PageRank 
978-1-7281-9485-1
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Yaping Sun1233.78
Zhang Lyutianyang261.81
Zhiyong Chen317725.67
Roy Sumit400.34