4.7 Article

A Service-Oriented Energy Efficient Resource Allocation Approach for Wireless Communications of the Tunnel Construction

Journal

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 72, Issue 4, Pages 4948-4958

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2022.3227898

Keywords

Resource management; Wireless communication; Safety; Rail transportation; Quality of service; Machinery; Wireless sensor networks; Long tunnel construction site; resource allication; QoS provision; energy efficient; dueling-DQN

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In this paper, a wireless communication architecture is proposed for tunnel construction to carry multiple services including video, voice, and sensor data. The proposed scheme achieves resource allocation and power control to minimize energy consumption and optimize transmission performance. Through simulation experiments, it is demonstrated that the scheme outperforms in various user equipment scenarios and prioritizes VoIP and sensor services in limited bandwidth, thereby improving information sharing efficiency for tunnel construction.
Tunnel construction is a dynamic excavation process that requires a variety of construction machinery and workers to cooperate according to standard procedures. However, due to insufficient information sharing and inefficient construction situation awareness, the operation efficiency cannot be largely enhanced, and the safety of workers cannot be guaranteed. To deal with the problem, it is imperative to establish a wireless communication system for construction machinery and workers. In this paper, we propose a wireless communication architecture for tunnel construction to carry multiple services including video, voice and sensor data with different quality-of-service (QoS) provision. A resource block (RB) allocation and power control scheme is developed for uplink transmission, where the long-term energy consumption is minimized and the transmission performance is optimized. As a discrete time-constrained stochastic optimization problem, it can be modeled as a constrained Markov decision process (CMDP). Furthermore, the dueling deep Q-network (Dueling-DQN) is utilized to obtain the scheduling policy based on the wireless fading characteristics of tunnels and network queues state. Simulation results demonstrate that the proposed scheme achieves better performance in a variety number of user equipment (UE) scenarios. The scheme gives priority to VoIP and sensor services in the limited bandwidth, which can provide efficient information sharing for tunnel construction.

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