摘要：Integrating nonorthogonal multiple access (NOMA) and edge computing into the Internet of Things (IoT) for resource allocation and computing offloading can effectively reduce delay and energy consumption and improve spectrum efficiency. Computation tasks can be split into several independent subtasks and can be locally processed by IoT devices or offloaded to the MEC servers to process. The limited computing resources deteriorate the system performance. Thus, it is crucial to design the reasonable allocation strategies of computation resource and transmission power resource. In this paper, we jointly determine the CPU-cycle frequency allocation and transmission power allocation and formulate a stochastic optimization to minimize the energy consumption of IoT devices. Based on the Lyapunov optimization theory, we decompose the optimization problem into two deterministic subproblems to solve separately. One of them is obtained by seeking the first derivative, and the other is solved by using the best response idea after establishing the game model. Meanwhile, we propose a dynamic resource allocation and task offloading (DRATO) algorithm. Moreover, the simulation experiments show that the proposed algorithm effectively improves system performance and reduces energy consumption compared to three other benchmark methods. ? 2022 Hua Xing et al.

ISSN号：1939-0114

卷、期、页：卷2022

发表日期：2022-01-01

影响因子：1.791000

期刊分区（SCI为中科院分区）：四区

收录情况：EI（工程索引）

发表期刊名称：Security and Communication Networks

参与作者：邢华,许嘉杰,胡金涛,陈莹

第一作者：黄霁崴

论文类型：期刊论文

论文概要：邢华,许嘉杰,胡金涛,陈莹,黄霁崴，Dynamic Resource Allocation and Task Offloading for NOMA-Enabled IoT Services in MEC，Security and Communication Networks，2022，卷2022

论文题目：Dynamic Resource Allocation and Task Offloading for NOMA-Enabled IoT Services in MEC