李双洋1, 2,,,
种若汐1,
白宝明2,
D W KNG1
1.新南威尔士大学电子工程与通信学院 悉尼 2032
2.西安电子科技大学综合业务网理论及关键技术国家重点实验室 西安 710071
详细信息
作者简介:袁伟杰：男，1991年生，博士后，研究方向为无线通信和信号处理
李双洋：男，1991年生，博士生，研究方向为带宽有效调制技术、均衡算法以及应用信息论
种若汐：女，1997年生，硕士生，研究方向为无线通信和机器学习
白宝明：男，1966年生，博士，教授，研究方向为信息论与信道编码、无线通信和量子通信
D W KNG：男，1984年生，博士，高级讲师，研究方向为无线通信和信号处理
通讯作者:李双洋 xd09lsy@sina.com
中图分类号:TN911.23计量
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被引次数:0
出版历程
收稿日期:2020-04-30
修回日期:2020-12-08
网络出版日期:2020-12-14
刊出日期:2021-01-15
A Distributed Decoding Algorithm for 6G Internet-of-Things Networks
Weijie YUAN1,Shuangyang LI1, 2,,,
Ruoxi CHONG1,
Baoming BAI2,
NG D W K1
1. School of Electrical Engineering and Telecommunications, Univ. of New South Wales, Sydney 2032, Australia
2. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071, China
摘要
摘要:随着5G商业化和标准化的逐步推进，对6G技术的研究也提上了日程。由于其在6G无线通信系统中的巨大应用前景，物联网(IoT)技术引起了人们广泛的兴趣。面向6G的物联网网络需要允许大量设备接入并支持海量数据传输，其鲁棒性和可扩展性至关重要。在物联网中，所述“事物”(用户)可以通过采用各种多功能无线传感器实时收集环境数据。通常来说，收集的数据将反馈到中央单元以进行进一步处理。但是这一机制依赖于中央单元的正常工作，鲁棒性较差。该文提出一种分布式译码算法，该算法通过让各用户之间互相协作，交换信息来实现在各个用户处完成译码。利用分布式译码算法，每个用户可以得到与中心化处理相似的译码性能，从而提高了网络的鲁棒性和可扩展性。同时，相比传统分布式译码算法，该算法不需要每个用户了解网络的拓扑结构，因此为面向6G的高动态物联网提供了技术支撑。
关键词:6G/
物联网/
译码方法/
消息传递
Abstract:With the standardization and the commercialization of 5G, the research on 6G technology is started. The Internet-of-Things (IoT) draws substantial interests in recent years due to its great potential for several applications in 6G wireless communication systems. As massive access and explosive data transmission are expected, the robustness and scalability are two key aspects for 6G IoT networks. In IoT networks, the said “things” (users) can collect environmental data in real time by adopting various multi-functional wireless sensors. Conventionally, the collected data are feedback to a central unit for further processing. However, the performance of this scheme relies on the normal operation of the central unit, which is not robust to the malfunction of central unit. This paper proposes a distributed decoding algorithm that the decoding is done at local users by enabling the cooperation and information exchange between users. As a result, each user achieves a decoding performance similar to that of the centralized approach which improves the robustness and the scalability of the network. Meanwhile, compared to the conventional distributed decoding approach, the proposed algorithm does not require that each user has the perfect knowledge of the network topology. Therefore, the proposed algorithm lays the foundation of 6G IoT networks.
Key words:6G/
Internet-of-Things (IoT)/
Decoding algorithm/
Message passing
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