面向6G物聯(lián)網(wǎng)的分布式譯碼技術(shù)

袁偉杰; 李雙洋; 種若汐; 白寶明; D W KNG

doi:10.11999/JEIT200343

面向6G物聯(lián)網(wǎng)的分布式譯碼技術(shù)

doi: 10.11999/JEIT200343

袁偉杰¹,
李雙洋^{1, 2, ,},
種若汐¹,
白寶明²,
D W KNG¹

1.
新南威爾士大學(xué)電子工程與通信學(xué)院悉尼 2032
2.
西安電子科技大學(xué)綜合業(yè)務(wù)網(wǎng)理論及關(guān)鍵技術(shù)國(guó)家重點(diǎn)實(shí)驗(yàn)室西安 710071

詳細(xì)信息

作者簡(jiǎn)介:
袁偉杰：男，1991年生，博士后，研究方向?yàn)闊o(wú)線通信和信號(hào)處理

李雙洋：男，1991年生，博士生，研究方向?yàn)閹捰行д{(diào)制技術(shù)、均衡算法以及應(yīng)用信息論

種若汐：女，1997年生，碩士生，研究方向?yàn)闊o(wú)線通信和機(jī)器學(xué)習(xí)

白寶明：男，1966年生，博士，教授，研究方向?yàn)樾畔⒄撆c信道編碼、無(wú)線通信和量子通信

D W KNG：男，1984年生，博士，高級(jí)講師，研究方向?yàn)闊o(wú)線通信和信號(hào)處理

通訊作者:
李雙洋　xd09lsy@sina.com

中圖分類號(hào): TN911.23
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出版歷程
- 收稿日期: 2020-04-30
- 修回日期: 2020-12-08
- 網(wǎng)絡(luò)出版日期: 2020-12-14
- 刊出日期: 2021-01-15

A Distributed Decoding Algorithm for 6G Internet-of-Things Networks

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: 隨著5G商業(yè)化和標(biāo)準(zhǔn)化的逐步推進(jìn)，對(duì)6G技術(shù)的研究也提上了日程。由于其在6G無(wú)線通信系統(tǒng)中的巨大應(yīng)用前景，物聯(lián)網(wǎng)(IoT)技術(shù)引起了人們廣泛的興趣。面向6G的物聯(lián)網(wǎng)網(wǎng)絡(luò)需要允許大量設(shè)備接入并支持海量數(shù)據(jù)傳輸，其魯棒性和可擴(kuò)展性至關(guān)重要。在物聯(lián)網(wǎng)中，所述“事物”(用戶)可以通過(guò)采用各種多功能無(wú)線傳感器實(shí)時(shí)收集環(huán)境數(shù)據(jù)。通常來(lái)說(shuō)，收集的數(shù)據(jù)將反饋到中央單元以進(jìn)行進(jìn)一步處理。但是這一機(jī)制依賴于中央單元的正常工作，魯棒性較差。該文提出一種分布式譯碼算法，該算法通過(guò)讓各用戶之間互相協(xié)作，交換信息來(lái)實(shí)現(xiàn)在各個(gè)用戶處完成譯碼。利用分布式譯碼算法，每個(gè)用戶可以得到與中心化處理相似的譯碼性能，從而提高了網(wǎng)絡(luò)的魯棒性和可擴(kuò)展性。同時(shí)，相比傳統(tǒng)分布式譯碼算法，該算法不需要每個(gè)用戶了解網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)，因此為面向6G的高動(dòng)態(tài)物聯(lián)網(wǎng)提供了技術(shù)支撐。
- 6G /
- 物聯(lián)網(wǎng) /
- 譯碼方法 /
- 消息傳遞
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.
- 6G /
- Internet-of-Things (IoT) /
- Decoding algorithm /
- Message passing

HTML全文

圖 1 IoT網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)

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圖 2 基于共識(shí)機(jī)制和非共識(shí)機(jī)制的通信開銷比較

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圖 3 基于圖模型的分布式譯碼算法

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圖 4 用戶間無(wú)損消息傳遞時(shí)的分布式算法性能

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圖 5 用戶間有損消息傳遞時(shí)的分布式算法性能

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