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With the advent of the modern mobile traffic, e.g., online gaming, augmentedreality delivery and etc., a novel bidirectional computation task model wherethe input data of each task consists of two parts, one generated at the mobiledevice in real-time and the other originated from the Internet proactively, isemerging as an important use case of 5G. In this paper, for ease of analyticalanalysis, we consider the homogeneous bidirectional computation task model in amobile edge network which consists of one mobile edge computing (MEC) serverand one mobile device, both enabled with computing and caching capabilities.Each task can be served via three mechanisms, i.e., local computing with localcaching, local computing without local caching and computing at the MEC server.To minimize the average bandwidth, we formulate the joint caching and computingoptimization problem under the latency, cache size and average powerconstraints. We derive the closed-form expressions for the optimal policy andthe minimum bandwidth. The tradeoff among communications, computing and cachingis illustrated both analytically and numerically, which provides insightfulguideline for the network designers.

Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks