Flexible Multiple Access Technology for Satellite Internet of Things

被引：0

作者：

Pang M. ^{[1
]}

Wang C. ^{[1
,3
]}

Wu T. ^{[2
]}

Chen J. ^{[1
]}

Huang S. ^{[3
]}

Jiang F. ^{[4
]}

Zhang J. ^{[1
]}

机构：

[1] School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing

[2] China Satellite Network Application Co., Ltd., Beijing

[3] Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing

[4] School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2024年 / 46卷 / 06期

关键词：

Advantage Actor-Critic (A2C); Flexible multiple access; Resource allocation; Satellite Internet of Things(IoT);

D O I：

10.11999/JEIT231388

中图分类号：

学科分类号：

摘要：

Access latency and complexity in the satellite Internet of Things (IoT) are significantly reduced by the grant-free uplink random access based on Slotted ALOHA (S-ALOHA). However, with the increase of the number of IoT users, the collision probability of S-ALOHA is markedly increased, thereby impacting the performance of the system. This paper addresses the scenario of massive device uplink access in satellite IoT, focusing on the investigation of power resource control for IoT terminals to achieve maximization of system rate. A flexible multiple access scheme based on S-ALOHA is proposed. In the presence of collisions in the system, transmission is carried out using non-orthogonal multiple access technology, which mitigates the issue of repeated transmission of user information and reduces transmission latency. The sequential decision problem of maximizing system rate under the constraint of terminal power is modeled as a Markov process, and the Advantage Actor-Critic (A2C) method is employed to solve it. The simulation results indicate that the success rate of terminal access in scenarios with a massive number of IoT terminals is effectively ensured by the proposed flexible multiple access technology. Additionally, the resource allocation algorithm based on A2C is shown to outperform traditional resource allocation algorithms. © 2024 Science Press. All rights reserved.

引用

页码：2497 / 2505

页数：8

共 27 条

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