窄頻物聯網隨機存取通道公平的資源配置方式｜國立臺灣科技大學博碩士論文系統

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研究生：	劉達昊 Da-Hao Liu
論文名稱：	窄頻物聯網隨機存取通道公平的資源配置方式 A fair resource allocation scheme for NPRACH in NB-IoT
指導教授：	鄭瑞光 Ray-Guang Cheng
口試委員:	許獻聰 Shiann-Tsong Sheu 呂政修 Jenq-Shiou Leu 王瑞堂 Jui-Tang Wang
學位類別：	碩士 Master
系所名稱：	電資學院 - 電子工程系 Department of Electronic and Computer Engineering
論文出版年：	2018
畢業學年度：	106
語文別：	英文
論文頁數：	34
中文關鍵詞：	窄頻物聯網、窄頻隨機存取通道、連線成功率、公平性
外文關鍵詞：	NB-IoT, NPRACH, access success probability, fairness
相關次數：	點閱：383 下載：17
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窄頻物聯網(NB-IoT)是一個為支持低功率且高覆蓋率的網際網路(LPWAN)而開發的新技術。每個涵蓋範圍延伸層級的靈活配置允許電信業者自行設置以滿足他們的要求，在這邊論文中，我們提出了一種為窄頻隨機存取通道(NPRACH)的通道資源分配方法，是用來為了提高窄頻隨機存取通道在不同的參數設置下，三級涵蓋範圍延伸階層的連線成功率的公平性，結果也顯示不同參數的設置也會影響NB-IoT系統在不同裝置數量的影響，因此，我們也定義了參數優化的優先順序。

Narrowband Internet of Things (NB-IoT) is a new technology developed to support low-power wide area networks (LPWAN) services. The flexible configuration in each coverage enhancement (CE) level allows operator to specify customized settings in order to meet their requirements. This work presents a resource allocation scheme for NPRACH to improve the fairness of the access success probabilities among three CE levels under different setting of NPRACH. The result also shows that the parameters in NB-IoT system have different influence in different number of devices in the system. Therefore, we have define the priority of the parameter optimization allocation order.

論文摘要                                                    p.4
Abstract                                            p.5
Table of Contents                                    p.6
List of Figures                                            p.7
List of Tables                                            p.8
Chapter 1    Introduction                            p.9
Chapter 2    System Model                            p.11
Chapter 3    Fair resource allocation scheme            p.13
3.1 Number of CE levels in the cell                    p.15
3.2 Maximum number of transmissions and backoff window    p.15
3.3 Number of sub-carriers                            p.16
3.4 Priority of the optimization                    p.16
3.5 The algorithm of the optimization                    p.18
3.6 Motivating example                                    p.21
Chapter 4    Numerical Results                    p.23
Chapter 5    Conclusion                            p.27
References                                            p.28

                                

[1]. Y. P. E. Wang et al., “A primer on 3GPP narrowband internet of things.” In IEEE Commun. Mag., vol. 55, no. 3, pp. 117-123, March 2017.
[2]. 3GPP TS 36.321, “Medium access control (MAC) protocol specification,” V13.2.0, Jun. 2016.
[3]. 3GPP TS 36.331, “Radio resource control (RRC) protocol specification,” V14.1.0, Dec. 2016.
[4]. R. G. Cheng, Ruki Harwahyu, “Optimization of random access channel in NB-IoT,” IEEE Internet of Things Journal, Dec. 2017. [accepted]
[5]. C. H. Wei, R. G. Cheng, S.L. Tsao, “Modeling and estimation of one-shot random access for finite-user multichannel slotted ALOHA systems,” IEEE Commun. Lett., vol. 16, pp. 1196-1199, Aug. 2012.
[6]. R. Jain, D. Chiu, and W. Hawe, “A quantitative measure of fairness and discrimination for resource allocation in shared systems, digital equipment corporation,” Technical Report DEC-TR-301, Tech. Rep., 1984.
[7]. R. H. Hwang et al. “Random access preamble design and detection for 3GPP narrowband IoT systems,” IEEE Commun. Lett., vol. 5, pp. 640–643, Jun. 2016.
[8]. 3GPP TR 36.888, “Study on probision of low-cost machine-type communications (MTC) userequipment (UEs) based on LTE,” V12.0.0, Jun. 2013
[9]. 3GPP TR 45.820, “Technical specification group GSM/EDGE radio access network; cellular system; support for ultra low complexity and low throughput Internet of Things; (Release 13)” V13.1.0, August 2015.

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