학술논문

Task Offloading and Resource Management for CBTC via Multi-Hop Ad Hoc Network and MEC
Document Type
Conference
Source
GLOBECOM 2023 - 2023 IEEE Global Communications Conference Global Communications Conference, GLOBECOM 2023 - 2023 IEEE. :5493-5499 Dec, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Rails
Energy consumption
Spread spectrum communication
Computer architecture
Ad hoc networks
Resource management
Task analysis
urban rail transport
communication-based train control (CBTC)
multi-hop ad hoc network
mobile edge computing (MEC)
computing offloading
resource management
Language
ISSN
2576-6813
Abstract
The emergence of communication-based train control (CBTC) system within urban rail transport has improved the efficiency of safe train operations. At the same time, the CBTC system enhances the reliability of the train system and lowers latency. Nevertheless, there are still certain critical issues that need to be considered in the CBTC: 1) limited coverage and high maintenance costs of wayside equipment; 2) multiple ground devices configuration and complex system architecture; and 3) insufficient computing capacity of the train leads to heavy latency and energy consumption. The multi-hop ad hoc network coexisting with train-to-train communication and train-to-wayside communication is applied to simplify the networking architecture, together with the employment of mobile edge computing (MEC) servers to provide massive computing and communication resources for trains. Therefore, in this paper, a new multi-hop ad hoc network and MEC-assisted CBTC framework are developed for computing offloading and resource allocation. Offloading decisions, offloading ratio, computing and communication resource allocation are integrated to minimize latency and energy consumption. Furthermore, the proposed problem is a mixed-integer non-convex problem that is transformed into a solvable convex problem, and the consensus alternating direction method of multipliers-based (ADMM) algorithm is employed to solve the problem. The simulation results show that our proposed method has remarkable advantages over other schemes.