Latency Optimization for Mobile Edge Computing Based Proximity Detection in Road Networks
Yunlong Song, Yaqiong Liu, Guochu Shou, Yihong Hu · 2020
In recent years, continuous breakthroughs in 5G and artificial intelligence technology have promoted the development of autonomous driving technology. In the actual application scenario of autonomous driving, the mobile user needs to find which mobile users are in proximity with him/her in the road network in real time, referred to as the problem of proximity detection in road networks. However, in the case of limited storage resources and computing resources at the mobile devices, how to calculate the proximity relationship between users in a short time at the mobile devices becomes a tough issue. Therefore, in this paper, we propose a computation offloading scheme in the scenario of proximity detection based on mobile edge computing (MEC), and formulate a communication latency optimization problem. To the formulated latency minimization problem in the computational offloading scheme, we use a convex optimization solution, namely, SLSQP, which significantly optimizes the communication latency. Simulation results demonstrate that our solution can solve the latency optimization problem effectively and efficiently.