博碩士論文 106523057 詳細資訊




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姓名 鄭子翎(Tzu-Ling Cheng)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 優化 NB-IoT 系統隨機存取機制之研究
(The Design of Enhanced Random Access Mechanism in NB-IoT System)
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摘要(中) 如今網際網路蓬勃發展,行動通訊技術的演進功不可沒。隨著即時通訊和行動支付的普及與智慧型手機和平板電腦等裝置的銷量暴增,更意味著通訊網路乘載的數據流量將日益增加。為此,國際電信聯盟 (International Telecommunication Union,ITU) 訂定了第五代行動通訊技術 (5G) 發展框架與總體目標,該技術稱為 IMT-2020 (International Mobile Telecommunications-2020)。
使用授權頻段 (Licensed Band) 之窄頻物聯網 (Narrow Band Internet of Thing,NB-IoT) 屬於低功耗廣域網路 (Low Power Wide Area Network,LPWAN) 之相關技術,由於無需佈建新網路,因而受到各大電信設備商與營運商青睞。窄頻物聯網由第三代合作夥伴計畫 (3rd Generation Partnership Project, 3GPP) 標準組織於第十三版 (Release 13) 所提出,計劃用於支援廣域物聯網的標準,甚至作為 IMT-2020 三大應用場景之大規模機器型通訊 (Massive Machine Type Communications,mMTC) 項目的基礎。
然而,目前窄頻物聯網系統規範基地台 (Evolved Node B,eNB) 僅針對已完成 Radio Resource Control (RRC) 連線之使用者裝置 (User Equipment,UE) 進行上下行資源分配。每當處於閒置狀態之使用者裝置欲發送數據到基地台,須先執行隨機存取程序 (Random Access Procedure,RAP) 以建立 RRC 連線。隨機存取程序使用多通道時槽阿羅哈協定 (multi-channel slotted ALOHA),其系統吞吐量伴隨連網裝置數量增加而下降,潛在的碰撞機率進而導致資源浪費與數據傳輸延遲。換言之,於大規模機器型通訊應用場景中,如何降低大量設備進行隨機存取程序時發生碰撞的機率是相當值得探討的議題。為了克服這個問題,本篇論文嘗試導入 Wi-Fi 中的隨機後退 (Random Backoff,RB) 演算法於隨機存取程序中,預期透過此設計降低使用者裝置之間的相互干擾。特別強調的是,此機制的設計與現有規範完全相容,為一項具專利價值之技術。
摘要(英) Nowadays, the growing internet services rely on fast development of mobile communication technologies. With the popularity of instant messaging and mobile payments as well as the increase of smart mobile devices, surfing the Internet anytime, anywhere has become a kind of necessity for modern life. It also means that traffic on the communications network will be increased. Based on this trend, the International Telecommunication Union (ITU) has established a framework which goal is the 5G development called International Mobile Telecommunications-2020 (IMT-2020).
Without the overhead of building a new network, the Narrow Band Internet of Thing (NB-IoT), which is one of technology for Low Power Wide Area Network (LPWAN), attracts major vendors and operators. The NB-IoT operates on the licensed band and it is a new 3GPP radio access technology aiming to support the standards of wide-area IoT, even as the basis for the Massive Machine Type Communications (mMTC) that is one of three major application scenarios of IMT-2020.
However, in NB-IoT network, the base station (eNB) only schedules the channel resource for the devices (UEs) which have established the radio resource control (RRC) connections. For a UE staying in IDLE mode, it has to perform the random access procedure (RAP) in order to establish RRC connection with the eNB. The RAP in NB-IoT is based on multi-channel slotted ALOHA protocol, which gets low throughput under high load. In other words, how to efficiently reduce the collision probability in mMTC scenario is an important and patentable technology. To overcome this problem, this thesis tries to integrate the RAP with the random backoff solution which has been adopted in Wi-Fi networks in order to minimize the interference among UEs. Moreover, this mechanism is full compliance with current specifications.
關鍵字(中) ★ 5G新空中介面
★ 大規模機器型通訊
★ 窄頻物聯網
★ 隨機存取
★ 隨機後退
★ 強化學習
關鍵字(英) ★ 5G New Radio (5G NR)
★ Massive Machine Type Communication (mMTC)
★ Narrow Band Internet of Thing (NB-IoT)
★ Random Access (RA)
★ Random Backoff (RB)
★ Reinforcement Learning (RL)
論文目次 中文摘要 i
ABSTRACT iii
CONTENTS v
LIST OF FIGURES vi
LIST OF TABLES viii
Chapter 1. INTRODUCTION 1
1.1. Background 1
1.2. Motivation 10
1.3. Outline 12
Chapter 2. RELATED WORKS 13
2.1. Effective Frequency Hopping Pattern for ToA Estimation 13
2.2. Access Class Barring 14
Chapter 3. PROPOSED MECHANISM 15
3.1. Random Backoff 15
3.2. Flow Chart 17
3.3. System Model 18
Chapter 4. ANALYSES 20
4.1. Random Access Procedure 20
4.2. Random Access Procedure with RARB Mechanism 24
Chapter 5. Optimization of RARB Mechanism 33
5.1. Reinforcement Learning 33
5.2. MAB Optimization 37
Chapter 6. RESULTS 39
Chapter 7. CONCLUSION 46
REFERENCES 47
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指導教授 許獻聰 審核日期 2019-7-23
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