適用於NB-IoT網路的實體隨機存取通道檢測器設計;An Effective Physical Random Access Channel Detector for NB-IoT Network

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题名:	適用於NB-IoT網路的實體隨機存取通道檢測器設計;An Effective Physical Random Access Channel Detector for NB-IoT Network
作者:	石振宗;Shi, Zhen-Zong
贡献者:	通訊工程學系
关键词:	窄頻物聯網;窄頻實體隨機存取通道;通道偵測;NB-IoT;NPRACH;Channel detection
日期:	2023-07-20
上传时间:	2024-09-19 16:27:21 (UTC+8)
出版者:	國立中央大學
摘要:	物聯網的發展將給人類帶來深刻的變革，同時物聯網被視為現在及未來無線通信技術的一股重要驅動力量它可以實現人與物、物與物之間的全面連接，為人類帶來更加便捷、高效、安全的生活和工作方式。窄頻物聯網 Narrowband Internet of Things NB IoT 是大規模機器型通信中的一項強大技術，在即將到來的新世代無線通信中至關重要。第三代合作夥伴計劃 3GPP 中的 NB IoT 標準承諾在對延遲寬容的應用中為大量低吞吐、低成本的設備提供更佳的覆蓋範圍，並且還具有較低的功耗。同時 NB IoT 廣泛地使用了長期演進 (Long Term Evolution, LTE 的設計，包括下行正交分頻多址接入、上行單載波分頻多址接入、通道編碼、速率匹配等。然而，一種新型窄頻實體隨機存取通道已被重新設計為具有單音頻率跳躍的前導信號。而本文研究了 NB IoT 物理隨機存取通道的隨機接入前導設計和檢測，我們稱為 NPRACH Narrowband Physical Random Access Channels 。在本論文中，描述了 3GPP NB IoT 系統中的 NPRACH 的系統架構和運作原理，首先使用 Neyman Pearson 準則設計了一個最佳的活動檢測方案，而為了減少由不同載波頻率偏移 (C arrier Frequency Offsets, CFOs) 所帶來的頻率偏移，本文使用了一種聯合最大概似估計 Joint Maximum Likelihood Estimation JMLE 用於聯合估計正規化載波頻率偏移 Normalized Carrier Frequency Offset, NCFO 和時序誤差 Timing Error, TE 避免了時變頻率選擇性衰落通道所疊加的問題。所以本文在接收端採用了一種符元級匹配濾波器 (Symbol level Matched Filter, SLMF) 以有效降低帶外雜訊和干擾，而不會過度累積互相關中發生的相位增量。並將接收機算法結果進行模擬和分析，針對錯誤偵測的改良，並根據模擬結果顯示，接收機確實能有效地降低誤報和遺漏概率，改善系統的性能與效率。;The development of the Internet of Things (IoT) will bring profound changes to humanity. IoT is considered a significant driving force behind current and future wireless communication technologies. It enables comprehensive connectivity between people and things, as well as between things th emselves, providing a more convenient, efficient, and secure way of life and work. Narrowband Internet of Things (NB IoT) is a powerful technology in large scale machine type communication and plays a crucial role in the upcoming generation of wireless communication. The NB IoT standard, developed by the Third Generation Partnership Project (3GPP), promises improved coverage for a large number of low throughput and low cost devices in delay tolerant applications, while also offering lower power consumpti on. NB IoT extensively utilizes design elements from Long Term Evolution (LTE), including downlink orthogonal frequency division multiple access, uplink single carrier frequency division multiple access, channel coding, and rate matching. However, a novel narrowband physical random access channel has been redesigned with a single tone frequency hopping preamble. This paper focuses on the design and detection of the random access preamble for the NB IoT physical random access channel, which we refer to as Na rrowband Physical Random Access Channels ( In this paper, we describe the system architecture and operation principles of NPRACH in the 3GPP NB IoT system. We first design an optimal activity detection scheme using the Neyman Pearson criterion. To mitigate the frequency offsets introduced by different carrier frequency offsets (CFOs), we employ a Joint Maximum Likelihood Estimation (JMLE) to jointly estimate the Normalized Carrier Frequency Offset (NCFO) and Timing Error (TE), thereby avoiding th e superposition of time varying frequency selective fading channels. We also utilize a symbol level matched filter (SLMF) at the receiver to effectively reduce out of iii band noise and interference without excessive accumulation of phase increments in cross band noise and interference without excessive accumulation of phase increments in cross--ccorrelations. The receiver algorithm′s results are simulated and analyzed, focusing on the orrelations. The receiver algorithm′s results are simulated and analyzed, focusing on the improvement of error detection. The simulation results demonstrate that the receiver can improvement of error detection. The simulation results demonstrate that the receiver can effectively reduce the probabilities of false alarm and miss detection, thereeffectively reduce the probabilities of false alarm and miss detection, thereby improving system by improving system performance and efficiency.performance and efficiency.
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