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低功耗广域网系统中的错误缓解:对汉明编码 RPW 有效性的研究。

Error mitigation in LPWAN systems: A study on the efficacy of Hamming-coded RPW.

机构信息

Department of Computer and Communication System Engineering, Universiti Putra, Selangor, Malaysia.

Laboratory for Network Modeling, Institute of Mathematical Research (INSPEM), Universiti Putra, Selangor, Malaysia.

出版信息

PLoS One. 2024 Jun 12;19(6):e0304386. doi: 10.1371/journal.pone.0304386. eCollection 2024.

Abstract

Rotating Polarization Wave (RPW) is a novel Low Power Wide Area Networks (LPWAN) technology for robust connectivity and extended coverage area as compared to other LPWAN technologies such as LoRa and Sigfox when no error detection and correction is employed. Since, IoT and Machine-to-Machine (M2M) communication demand high reliability, RPW with error correction can significantly enhance the communication reliability for critical IoT and M2M applications. Therefore, this study investigates the performance of RPW with single bit error detection and correction using Hamming codes to avoid substantial overhead. Hamming (7,4) coded RPW shows a remarkable improvement of more than 40% in error performance compared to uncoded RPW thereby making it a suitable candidate for IoT and M2M applications. Error performance of coded RPW outperforms coded Chirp Spread Spectrum (CSS) modulation used in LoRa under multipath conditions by 51%, demonstrating superior adaptability and robustness under dynamic channel conditions. These findings provide valuable insights into the ongoing developments in wireless communication systems whilst reporting Q-RPW model as a new and effective method to address the needs of developing LPWAN and IoT ecosystems.

摘要

旋转偏振波(RPW)是一种新颖的低功耗广域网(LPWAN)技术,与其他 LPWAN 技术(如 LoRa 和 Sigfox)相比,在不采用错误检测和纠正的情况下,具有更强的连接性和更大的覆盖范围。由于物联网和机器对机器(M2M)通信需要高可靠性,因此具有纠错功能的 RPW 可以显著提高关键物联网和 M2M 应用的通信可靠性。因此,本研究调查了使用汉明码进行单比特错误检测和纠正的 RPW 的性能,以避免大量开销。与未编码的 RPW 相比,汉明(7,4)编码的 RPW 在错误性能方面有了显著的提高,超过了 40%,从而使其成为物联网和 M2M 应用的合适候选者。在多径条件下,编码 RPW 的错误性能优于 LoRa 中使用的编码啁啾扩频(CSS)调制,在动态信道条件下表现出更高的适应性和鲁棒性。这些发现为无线通信系统的发展提供了有价值的见解,同时报告 Q-RPW 模型作为一种新的有效方法,以满足开发 LPWAN 和物联网生态系统的需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c531/11168661/e0f4f9d895c2/pone.0304386.g001.jpg

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