2020/04/11 by Haijian Sun, Sun, Haijian, Qun Wang +7 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI) #Privacy-Preserving Technologies in Data #Signal Processing (eess.SP) #Wireless Communication Security Techniques #cs.NI #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2004.05279
accepted: IEEE IETC 2020
arxiv created 2020/04/11 · openalex publication_date 2020/04/11 · arxiv updated 2020/04/14 · openalex created_date 2020/04/17 · openalex updated_date 2026/07/28
Mobile edge computing (MEC) is an emerging communication scheme that aims at reducing latency. In this paper, we investigate a green MEC system under the existence of an eavesdropper. We use computation efficiency, which is defined as the total number of bits computed divided by the total energy consumption, as our main metric. To alleviate stringent latency requirement, a joint secure offloading and computation model is proposed. Additionally, we formulate an optimization problem for maximizing computation efficiency, under several practical constraints. The non-convex problem is tackled by successive convex approximation and an iterative algorithm. Simulation results have verified the superiority of our proposed scheme, as well as the effectiveness of our problem solution.