一种基于信道传感的多路径多跳合作传输机制,用于非对称物联网场景中的 UE 聚合

Symmetry Pub Date : 2024-09-18 DOI:10.3390/sym16091225
Hua-Min Chen, Ruijie Fang, Shoufeng Wang, Zhuwei Wang, Yanhua Sun, Yu Zheng
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摘要

随着科技的不断进步和发展,万物互联(IoE)逐渐成为研究热点。越来越多的企业和研究机构开始关注非对称网络中多个设备之间的连接和传输,如 V2X、工业物联网(IIoT)、环境监测、灾害管理、农业等。近年来,这些应用的设备数量和业务量迅速增加,会导致终端负荷过大,影响物联网数据传输效率。针对这一问题,有人提出了通过多路径协同传输与多跳传输进行数据传输的方法。这种方法旨在改善传输延迟、能耗、可靠性和吞吐量。本文设计了一种基于信道传感的协同传输机制(CSCTM),并为未来非对称物联网场景下的用户设备(UE)聚合机制设计了混合自动重复请求(HARQ),确保物联网设备数据能够快速可靠地传输,并支持实时数据处理和分析。该方法的主要内容包括合作传输和冗余版本(RV)确定策略、接收端解码过程的联合组合,以及基于信道感知的升偏排序(AOS)算法的传输优先级设计。此外,多跳技术还设计了多径合作传输策略,使合作节点(CN)能够帮助 UE 传输数据。因此,可以得出 CSCTM 在整个系统的延迟和能耗方面有显著进步。它在增强覆盖范围、提高可靠性和最小化延迟方面都有所改进。
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A Channel-Sensing-Based Multipath Multihop Cooperative Transmission Mechanism for UE Aggregation in Asymmetric IoE Scenarios
With the continuous progress and development of technology, the Internet of Everything (IoE) is gradually becoming a research hotspot. More companies and research institutes are focusing on the connectivity and transmission between multiple devices in asymmetric networks, such as V2X, Industrial Internet of Things (IIoT), environmental monitoring, disaster management, agriculture, and so on. The number of devices and business volume of these applications have rapidly increased in recent years, which will lead to a large load of terminals and affect the transmission efficiency of IoE data transmission. To deal with this issue, it has been proposed to perform data transmission via multipath cooperative transmission with multihop transmission. This approach aims to improve transmission latency, energy consumption, reliability, and throughput. This paper designs a channel-sensing-based cooperative transmission mechanism (CSCTM) with hybrid automatic repeat request (HARQ) for user equipment (UE) aggregation mechanism in future asymmetric IoE scenarios, which ensures that IoE devices data can be transmitted quickly and reliably, and supports real-time data processing and analysis. The main contents of this proposed method include strategies of cooperative transmission and redundancy version (RV) determination, a joint combination of decoding process at the receiving side, and a design of transmission priority through ascending offset sort (AOS) algorithm based on channel sensing. In addition, multihop technology is designed for the multipath cooperative transmission strategy, which enables cooperative nodes (CN) to help UE to transmit data. As a result, it can be obtained that CSCTM provides significant advancements in latency and energy consumption for the whole system. It demonstrates improvements in enhanced coverage, improved reliability, and minimized latency.
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