In this work, we investigate the transmission and offloading strategy in the nonorthogonal multiple access (NOMA)-enabled fog computing system for the Internet of Things (IoT). We aim to minimize the total energy consumption of the IoT system while satisfying the latency requirements. Due to the energy minimization problem is a mixed-integer nonlinear programming, we decompose the problem into two subproblems for different optimizing variables, i.e., fog node selection and resource allocation subproblems, and propose a multinode collaboration transmission and computation (MCTC) algorithm. Specifically, the fog node selection subproblem can be transformed into the assignment problem, which is constructed as a bipartite graph to obtain the node selection strategy. For the resource allocation subproblem, we propose an iterative algorithm to obtain the offloading workload, duration allocation, and computation resource. Simulation results are provided, which demonstrate that the proposed algorithm outperforms the other strategies by 56.88% at least.

中文翻译：

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有限寿命块的区块链及其在基于边缘的物联网中的应用


在这项工作中，我们研究了物联网（IoT）支持非正交多址（NOMA）的雾计算系统中的传输和卸载策略。我们的目标是在满足延迟要求的同时最大限度地减少物联网系统的总能耗。由于能量最小化问题是一个混合整数非线性规划，我们将问题分解为不同优化变量的两个子问题，即雾节点选择和资源分配子问题，并提出了一种多节点协作传输和计算（MCTC）算法。具体来说，可以将雾节点选择子问题转化为分配问题，将其构造为二分图以获得节点选择策略。对于资源分配子问题，我们提出了一种迭代算法来获取卸载工作负载、持续时间分配和计算资源。仿真结果表明，所提出的算法至少优于其他策略 56.88%。