MATD3-Based End-Edge Collaborative Resource Optimization for NOMA-Assisted Industrial Wireless Networks  

作　　者：Ru Hao Chi Xu Jing Liu 

机构地区：[1]College of Information Engineering,Shenyang University of Chemical Technology,Shenyang,110142,China [2]State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang,110016,China [3]Key Laboratory of Networked Control Systems,Chinese Academy of Sciences,Shenyang,110016,China

出　　处：《Computers, Materials & Continua》2025年第2期3203-3222,共20页计算机、材料和连续体(英文)

基　　金：supported by the National Natural Science Foundation of China under Grants 92267108,62173322 and 61821005;the Science and Technology Program of Liaoning Province under Grants 2023JH3/10200004 and 2022JH25/10100005.

摘　　要：Non-orthogonal multiple access (NOMA) technology has recently been widely integrated into multi-access edge computing (MEC) to support task offloading in industrial wireless networks (IWNs) with limited radio resources. This paper minimizes the system overhead regarding task processing delay and energy consumption for the IWN with hybrid NOMA and orthogonal multiple access (OMA) schemes. Specifically, we formulate the system overhead minimization (SOM) problem by considering the limited computation and communication resources and NOMA efficiency. To solve the complex mixed-integer nonconvex problem, we combine the multi-agent twin delayed deep deterministic policy gradient (MATD3) and convex optimization, namely MATD3-CO, for iterative optimization. Specifically, we first decouple SOM into two sub-problems, i.e., joint sub-channel allocation and task offloading sub-problem, and computation resource allocation sub-problem. Then, we propose MATD3 to optimize the sub-channel allocation and task offloading ratio, and employ the convex optimization to allocate the computation resource with a closed-form expression derived by the Karush-Kuhn-Tucker (KKT) conditions. The solution is obtained by iteratively solving these two sub-problems. The experimental results indicate that the MATD3-CO scheme, when compared to the benchmark schemes, significantly decreases system overhead with respect to both delay and energy consumption.

关 键 词：Industrial wireless networks(IWNs) multi-access edge computing(MEC) non-orthogonal multiple access(NOMA) task offloading resource allocation 

分 类 号：TN9[电子电信—信息与通信工程]