A Distributed Decoding Algorithm for 6G Internet-of-Things Networks
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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。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.
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Key words:
- 6G /
- Internet-of-Things (IoT) /
- Decoding algorithm /
- Message passing
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