請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70386完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張時中(Shi-Chung Chang) | |
| dc.contributor.author | Cheng-Feng Yang | en |
| dc.contributor.author | 楊晟豐 | zh_TW |
| dc.date.accessioned | 2021-06-17T04:27:04Z | - |
| dc.date.available | 2022-08-15 | |
| dc.date.copyright | 2018-08-15 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-14 | |
| dc.identifier.citation | [3GPP10] 3GPP TS 132.600, “Configuration Management (CM); Concept and high-level
Requirements,” 2010. Available: http://www.etsi.org/deliver/etsi_ts/132600_132699/132600/09.00.01_60/ts_132600v090001p.pdf [3GPP12]3GPP TS 132.500, “Self-Organizing Networks (SON); Concepts and Requirements,” 2012. Available: http://www.etsi.org/deliver/etsi_ts/132500_132599/132500/11.01.00_60/ts_132500v110100p.pdf [APD17] Rodney Martinez Alonso, David Plets, Margot Deruyck, Luc Martens, Wout Joseph and Glauco Guillen Nieto, “Coverage, capacity and energy efficiency of TV white space technology,” Broadband Multimedia Systems and Broadcasting (BMSB), 2017 IEEE International Symposium on. IEEE, 2017. [BJH17] Shubhekshya Basnet, Beeshanga Abewardana Jayawickrama, Ying He and Eryk Dutkiewicz, “Considering switching overhead for transmit power allocation for GAA in spectrum access system,” Communications and Information Technologies (ISCIT), 2017 17th International Symposium on. IEEE, 2017. [BGM16] M. Majid Butt, Carlo Galiotto and Nicola Marchetti, “Fair and regulated spectrum allocation in licensed shared access networks,” Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on. IEEE, 2016. [ChH13] Xu Chen and Jianwei Huang, “Database-assisted distributed spectrum Sharing,” IEEE Journal on Selected Areas in Communications 31.11 (2013): 2349-2361. [Cisco17] Cisco Visual Networking. Cisco visual networking index: global mobile data traffic forecast update, 2016–2021. Tech. Rep, 2017 [DGP09] Constantinos Daskalakis, Paul W. Goldberg, and Christos H. Papadimitriou, “The complexity of computing a Nash equilibrium,” SIAM Journal on Computing 39.1 (2009): 195-259. [ElK15] Jocelyne Elias and Marwan Krunz, “Distributed spectrum management in TV white space cognitive radio networks,” IFIP Networking Conference (IFIP Networking), 2015. IEEE, 2015. [FCC15] Legal Information Institute, “Part 96 - CITIZENS BROADBAND RADIO SERVICE,” [Online]. Available: https://www.law.cornell.edu/cfr/text/47/part-96 [FCC16] FCC, “Amendment of the commissions rules with regard to commercial operations in the 3550-3650 MHz band,” Doc. No. 12-354, May. 2016. [FMG16] Valerio Frascolla, António J. Morgado and Alvaro Gomes, “Dynamic Licensed Shared Access-A new architecture and spectrum allocation techniques,” Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th. IEEE, 2016. [HeR14] Farzad Hessar and Sumit Roy, “Resource allocation techniques for cellular networks in TV white space spectrum,” Dynamic Spectrum Access Networks (DYSPAN), 2014 IEEE International Symposium on. IEEE, 2014. [Hwa17] Yitaek Hwang, “What is CBRS? - LTE in 3.5 GHz Shared Spectrum and What it Means for IoT,” [Online]. Available: https://www.leverege.com/blogpost/what-is-cbrs-lte-3-5-ghz [IDA13] Singapore, I. D. A,'Proposed Regulatory Framework for TV White Space Operations in the VHF/UHF Bands,' consultation Paper issue by the Info-Communications Development Authority of Singapore, June (2013). [IDA17] Infocomm Development Authority, “Proposed Regulatory Framework for TV White Space Operations in the VHF/UHF Bands,” [Online] Available: https://www.imda.gov.sg/regulations-licensing-and-consultations/consultations/consultation%20papers- [KMH07] Pekka Kyösti, Juha Meinilä and Lassi Hentilä, “IST-4-027756 WINNER II D1. 1.2 V1. 2 WINNER II Channel Models,” EBITG, TUI, UOULU, CU/CRC, NOKIA, Tech. Rep (2007). [Luc09] Alcatel Lucent, “The LTE network Architecture—A comprehensive tutorial,” Strategic Whitepaper, 2009 [LYG13] Cong Liu, Li Yu, Yuan Gao and Zuhao Liu, “A bandwidth efficient and proportional fairness video transmission scheme in TV White Space,” Wireless Communications and Networking Conference (WCNC), 2013 IEEE. IEEE, 2013. [MaT90] Silvano Martello and Paolo Toth, “Knapsack problems: algorithms and computer implementations,” Wiley-Interscience series in discrete mathematics and optimization (1990). [Mun17] Kyung Mun, “CBRS: New Shared Spectrum Enables Flexible Indoor and Outdoor Mobile Solutions and New Business Models,” CBRS Alliance, CBRS White Paper, 2017 [MSB15] Markus Dominik Mueck, Srikathyayani Srikanteswara and Biljana Badic, “Spectrum Sharing: Licensed Shared Access (LSA) and Spectrum Access System (SAS),” Intel, White paper, 2015. [MJH17] K. B. Shashika Manosha, S. Joshi, T. H¨anninen, M. Jokinen, P. Pirinen and H.Posti, “A channel allocation algorithm for Citizens Broadband Radio Service/Spectrum Access System,” Networks and Communications (EuCNC), 2017 European Conference on. IEEE, 2017. [MYY15] Munawwar M. Sohul, Miao Yao, Taeyoung Yang, and Jeffrey H. Reed, “Spectrum access system for the citizen broadband radio service,” IEEE Communications Magazine 53.7 (2015): 18-25. [Ofcom15] Ofcom, “Implementing TV White Spaces,” 2015 [Ofc15] Ofcom, “A framework for spectrum sharing,” 2015. Available: https://www.ofcom.org.uk/consultations-and-statements/category-2/spectrum-sharing-framework [PHA17] Marko Palola, Marko Höyhtyä, Pekka Aho, Miia Mustonen and Tero Kippola, “Field trial of the 3.5 GHz citizens broadband radio service governed by a spectrum access system (SAS),” Dynamic Spectrum Access Networks (DySPAN), 2017 IEEE International Symposium on. IEEE, 2017. [PVR17] Akanksha Patel, Sundar Vishwanathan and Bhaskaran Raman, “Multi-channel Allocation to Coexisting Networks in TV White Spaces,” 2017 9th International Conference on Communication Systems and Networks (COMSNETS) IEEE, 2017 [PMP14] Marko Palola, Marja Matinmikko, Jarmo Prokkola, Miia Mustonen and Marjo Heikkilä, “Live field trial of Licensed Shared Access (LSA) concept using LTE network in 2.3 GHz band,” Dynamic Spectrum Access Networks (DYSPAN), 2014 IEEE International Symposium on. IEEE, 2014. [PRM14] Marko Palola, Teemu Rautio, Marja Matinmikko, Jarmo Prokkola and Miia Mustonen, “Licensed Shared Access (LSA) trial demonstration using real LTE network,' Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2014 9th International Conference on. IEEE, 2014. [PHM17] Marko Palola, Vesa Hartikainen, Marko Mäkeläinen, Tero Kippola and Pekka Aho, “The first end-to-end live trial of CBRS with carrier aggregation using 3.5 GHz LTE equipment,” Dynamic Spectrum Access Networks (DySPAN), 2017 IEEE International Symposium on. IEEE, 2017. [RCR14] RCR Wireless News, Master LTE with the Help of an LTE Network Diagram. [Online]. Available: https://www.rcrwireless.com/20140509/evolved-packet-core-epc/lte-network-diagram. [Rez94] Fazlollah M. Reza, “An introduction to information theory,” Courier Corporation, 1994. [Sri] Ranjana Sridhar, “Self Organising Network - Semantic Scholar,” [Online]. Available: https://pdfs.semanticscholar.org/8bbf/451bcd1d6cd37d291f9da98a8dcc745bf3ae.pdf [TsV05] David Tse and Pramod Viswanath, “Fundamentals of wireless communication,” Cambridge university press, 2005. [THX10] Jian Tang, Roberto Hincapié, Guoliang Xue, Weiyi Zhang and Roberto Bustamante, “Fair bandwidth allocation in wireless mesh networks with cognitive radios,” IEEE Transactions on Vehicular Technology 59.3 (2010): 1487. [WINNF17] Wireless Innovation Forum, “Requirements for Commercial Operation in the U.S. 3550-3700 MHz Citizens Broadband Radio Service Band,” Document WINNF-TS-0112, Sep. 2017 [WINNFS17] Wireless Innovation Forum, “Spectrum Access System (SAS) - Citizens Broadband Radio Service Device (CBSD) Interface Technical Specification,” Document WINNF-TS-0016, Jul. 2017 [YMM17] Seppo Yrjölä, Marja Matinmikko, Miia Mustonen and Petri Ahokangas, “Analysis of dynamic capabilities for spectrum sharing in the citizen broadband radio service,” Analog Integrated Circuits and Signal Processing 91.2 (2017): 187-201. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70386 | - |
| dc.description.abstract | 有鑑於無線通信的巨大流量增長,美國聯邦通信委員會(FCC)提出了一個創新的三層式頻譜共享監管框架,以提高頻譜利用率並減輕頻譜缺陷。此三層分別為:具有最高接取權的既有使用者(IA)、優先接取(PAL)及一般許可接取(GAA)。IA 的接取使用要免於干擾,PAL接取使用所受到的干擾則應保持在規範程度以下。GAA不得干擾IA及PAL使用者,而與其它GAA使用者在容許有干擾的情形下和諧共享接取使用。無線創新論壇(WInnF)為3.55-3.7 GHz公民無線電服務頻段提出系統架構,其包含了頻譜存取系統(SAS)、區域代理人(DP)與網路管理系統(NMS)等等以管理基地台(CBSD)的頻譜接取使用權。其中GAA至少能使用80MHz頻寬的一般許可接取最早可開始實現,但細部接取管理機制則尚待設計。
本論文研究探討細部設計GAA營運商的頻道選擇(channel selection) 及SAS的頻譜分配(frequency assignment)機制。頻道選擇為其有需求的CBSD選擇最佳的頻道組合使營運商的總容量(Shannon Capacity)最大化。頻譜分配為調和運營商間的頻道選擇,讓營運商間的總容量(Shannon Capacity)最大化且滿足一定的公平性,同時保障IA跟PAL使用者的接取使用品質。 具體的頻道選擇和頻率分配(CSFA)機制設計研究問題有兩個: 1. 頻道選擇問題:考慮到干擾如何影響總生產容量,單一營運商如何確定頻道選擇以最大化其總容量? 2. 頻率分配問題: SAS如何通過頻率分配,協調GAA營運商的頻道選擇以最大化營運商間的總生產容量且同時保持營運商之間的公平性? 前者因干擾和生產容量成高度非線性關係且有諸多頻道組合而使總容量最大化選擇困難。後者挑戰在於如何定義GAA營運商之間的公平性,以及當營運商的總需求大於可用頻道時,SAS應該如何根據公平性和總容量最大化來分配頻道。 本論文研究新設計了單運營商頻道選擇(SOCS)演算法來解決問題一。 SOCS設計是基於非線性背包問題(KP)的數學模型以最大化營運商的總生產容量,並且整合掌握了兩項特色: (一) 輸入使用及輸出結果使用符合WInnF-TS-0016 SAS-DP/CBSD資訊交換協議之資訊項目; (二) 以頻道需求滿足性將GAA不保障品質下頻道滿足CBSD需求,及各CBSD間以平等和諧共享接取使用的精神,導入於頻道選擇決策模型。本論文研究為SAS頻率分配設計了多營運商頻率分配(MOFA)的演算法來解決問題二。 MOFA設計同樣考慮到符合WInnF-TS-0016 SAS-DP/CBSD資料交換協議,基於非線性KP的數學模型以最大化營運商間的總容量,並且有兩項創新巧思: (三) 基於GAA盡量滿足需求但不保證服務品質的本質,定義比例基本容量公平性(PBCF)導入頻率分配決策模型為約束條件。(四)定義協調指標(Coordination Index,CI),讓SAS的頻率分配盡量依照各營運商所提出之頻道選擇組合,同時提升營運商間可接取使用的總容量。 以數值實驗進行評估SOCS與MOFA演算法的研究發現如下: I.有需求之CBSD總數目大於總可用頻道數: I.1 在均勻分散分布的情境下,最佳選擇配置的特性: 總距離其他CBSD最短的CBSD會獨占單一頻段,其餘CBSD平均分享使用剩餘頻段。 I.2 在分布集中的情境下,最佳選擇配置的特性: 犧牲一頻段給互相干擾很大的CBSDs,其餘可用頻段皆讓某些CBSD獨占單一頻段。 在多營運商頻率分配的情境下,我們的研究結果之發現如下: II. 當營運商間之總頻道需求少於總可用頻段時,若營運商間選擇的頻道有衝突時,則SAS將協調有衝突的頻道到沒有衝突的頻道,亦即調和到每個CBSD都獨占單一頻道。 III.當營運商間之總頻道需求大於總可用頻段時,SAS根據operators所提出之頻道組合計算最佳配置及最佳協調指標,提供對個別operator的配置給operator實施 IV. 營運商間之總生產容量 (total Shannon capacity)在SAS有調和分配下會大於等於Operators間自己頻道選擇之結果。 V. 在均勻分散分布的環境下,雖然多加了基本容量公平性之考慮,最佳配置有時也會像I-1之單一CBSD獨佔某頻道的特性。在分布集中的環境下,營運商間的總生產容量會較公平。 VI. CS和FA的計算時間皆隨CBSD的數目及可用頻段數成指數關係,亦即複雜度為O(NK^N),其中K為可用頻道總數, N為有需求的CBSD總數。以10個有需求的CBSD及3個可用頻道數為例,CS演算法計算時間約為16~19秒、FA演算法計算時間約為19-23秒。 本論文為GAA營運商實做了線上頻道配選平台且實作部分之WInnF-TS-0016 SAS-DP / CBSD-SAS之資料交換規範。我們透過演示兩個情境來概念驗證此系統之可行性及萃取CSFA的特徵。頻道以10MHz為單位,一次配選時間為6小時。情境一:單一營運商,3個GAA的需求、2個可用頻道數。情境二:兩個營運商個別有兩個GAA的需求、4個可用頻道數。本論文結合Python實施頻道選擇及頻道分配演算法並整合至平台上。當SAS回覆頻率分配結果給營運上的DP後,CBSD根據頻率分配結果進行傳輸。 在我們的系統中,我們將正文Gemtek X-Cell做為CBSD在3.55-3.6GHz頻率範圍內傳輸。當頻道配選完成後,頻道配選平台將自動設定X-Cell接取使用所配頻道進行傳輸,整體程序完成時間約28秒,其中演算法部分皆可在0.05秒內完成,傳送及回傳請求之總時間大約2秒,而控制正文X-cell在該配選之頻道上傳輸之時間約為25秒。 | zh_TW |
| dc.description.abstract | In view of tremendous traffic growth of wireless communications, Federal Communications Commission(FCC) announced an innovative, 3-tiered regulatory framework of spectrum sharing to raise spectrum utilization and mitigate spectrum deficiency. The three layers are: Incumbent (IA, tier-1) which has highest access priority, Priority Access License (PAL, tier-2) whose users access can be protected with interference limit, General Authorized Access (GAA, tier-3) whose base station users may access through 3.55-3.7GHz and shall have no expectation of interference protection from other users. Wireless innovation forum(WInnF) proposed management system architecture for Citizens Broadband Radio Service(CBRS) consisting of spectrum access system(SAS), Domain Proxy(DP) and Network Management System(NMS) which manage the base station(CBSD). Although the rulings that overall GAAs can use at least 80 MHz bandwidth have been announced by FCC, detailed mechanism design is an immature stage.
In this thesis, we worked on mechanism design and implementation aspects for GAA operators because there is lack of available solutions for fair accesses by GAA operators that increases spectrum efficiency yet. In specific, we shall focus on frequency assignment in SAS and channel selection in DP. The role of channel selection(CS) is to determine channel combinations for GAA CBSDs of operator that enhance its total capacity so that the users’ quality of service(QoS) are raised. The role of frequency assignment(FA) is to coordinate operators’ channel selection by assigning channels that maximizes total capacity of operators as well as protecting IAs and PALs’ QoS. Specific research problems of channel selection and frequency assignment(CSFA) mechanism design have two folds: I. Channel Selection: How does one operator determine channel selection that maximizes total capacity considering how interference affects total capacity? The challenges lie in highly non-linear relationship between interference and Shannon capacity and many combinations of channel selection. II. Frequency Assignment: How does SAS coordinate operators’ channel selections by assigning channels that aims to maximize total capacity of GAA operators while maintaining fairness among operators? The challenges lie in how should fairness among GAA operators be defined and how should SAS assign channel/frequency according to fairness and Shannon capacity maximization when operators’ total demands exceed available channels. To address problem I and its challenges, we designed a novel functionality of channel selection for single operator called single operator channel selection(SOCS). The SOCS design is non-linear knapsack problem(KP)-based formulation that maximizes the total capacity of operator and integrates two innovations. The first innovation is that our design complies with WInnF-TS-0016 DP/CBSD-SAS protocol. The second is we formulated the channel demand satisfaction concept as constraint based on the essences of equal access priority and no expectation of interference protection among GAAs. To address problem II and its challenges, we designed a functionality of SAS frequency assignment called multiple operator frequency assignment(MOFA). The MOFA design is I/O information items complying with WInnF-TS-0016 DP/CBSD-SAS data exchange protocol and non-linear KP-based formulation that maximizes total average capacity of GAA operators and integrates three innovations. The first innovation is defining proportional basic capacity fairness(PBCF) based on the essences of SAS that tries to do best effort to match demands of each operator and the equal quality among GAAs. The second is formulating the PBCF concept as a constraint. The third is defining and formulating coordination index into frequency assignment that try to match operators’ channel selections as much as SAS can. In SOCS scenarios, the findings and insights of our results are as follows: I1) In the spectrum scarcity scenarios with distributed distributions, operator will select an exclusive channel for the CBSD that has minimum total distance with other CBSDs. I2) In the spectrum scarcity scenarios with clustered distributions, operator will select one channel for most of required CBSDs and let remaining CBSDs monopolize other available channels. In MOFA scenarios, the findings and insights of our results are as follows: F1) In the abundant spectrum scenarios, if operators select the same channels to their CBSDs, then SAS coordinates operators’ channel selection until each CBSD monopolizes one channel. I3) In the spectrum scarcity scenarios with distributed distributions, total capacity of operators in SAS frequency assignment(coordination) is always higher than or equal to in operators’ channel selection. I4) In the spectrum scarcity scenarios with clustered distribution, proportional basic capacity fairness will decrease and SAS will assign channels to operators with maximum basic capacity of each CBSD (i.e. Q_max). In other words, the fairer total capacity among GAA operators in clustered distributions. F2) The computation time of SOCS and MOFA grows exponentially with number of required CBSDs and available channels. The time complexity of algorithms are O(NK^N), where K is total number of available channels and N is total number of required CBSDs. In the scenario with 10 required CBSDs and 3 available channels, the computation time of CS is 16-19 seconds and FA is 19-23 seconds. Furthermore, this thesis implements an online platform of channel selection and frequency assignment for operator. We implement a part of WInnF-TS-0016 DP/CBSD-SAS protocol in our platform. The CSFA system proofs of concepts by demonstrating two scenarios to capture the characteristics of CSFA and the feasibility of the system. Each channel has 10 MHz bandwidth and the time period of spectrum assignment is 6 hours. The environment of Scenario I: single operator with 3 required CBSDs and there are 2 available channels. Scenario II: Two operators, each operator has 2 required CBSDs and there are 4 available channels. After SAS replies the response to DP, CBSDs transmit on the channel based on the frequency assignment results. Moreover, in our system, we combine Gemtek X-Cell as CBSD to transmit throughout 3.55-3.6GHz. After channel selection and frequency assignment are done, our platform will control the transmission of X-Cell automatically. The overall processing time is around 28 seconds which algorithms run within 0.05 second, requests and responses of procedures take around 2 seconds and the time from DP control X-Cell’s configuration to X-Cell start transmitting is around 25 seconds. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T04:27:04Z (GMT). No. of bitstreams: 1 ntu-107-R05921067-1.pdf: 7910817 bytes, checksum: 5083f9588c6a33b939674a1651f13586 (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 誌謝 i
ABSTRACT ii 中文摘要 vi CONTENTS ix LIST OF FIGURES xiii LIST OF TABLES xvii Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Literature Review 3 1.3 Scope of Thesis 4 1.4 Organization of Thesis 9 Chapter 2 Descriptions and Definitions of Channel Selection and Frequency Assignment Problems for General Authorized Access 10 2.1 Introduction to CBRS bands and SAS 10 2.1.1 Overview of CBRS 10 2.1.2 The General Radio Requirement of CBSD 12 2.1.3 Overview of SAS 14 2.1.4 Overview of SAS-DP/CBSD interface 17 2.1.5 CBRS Field Trial in Finland by CORE++ 21 2.2 Introduction to LTE Network and SON Server 22 2.2.1 Overview of LTE Network Architecture 22 2.2.2 Overview of Self-Organization Network 24 2.3 Design Problem Definitions and Challenges of Channel Selection and Frequency Assignment Mechanism for GAAs 26 2.3.1 System Framework of Channel Selection and Frequency Assignment Mechanism for GAAs 27 2.3.2 Problem Definitions of Channel Selection and Frequency Assignment Mechanism for GAAs 31 2.3.3 Design Challenges of Channel Selection and Frequency Assignment Mechanism for GAAs 32 Chapter 3 Capacity Maximization Channel Selection by Domain Proxy for Single GAA Operator 35 3.1 Mechanism Design for Channel Selection by Single Operator by LTE Networks 35 3.1.1 Problem Scenario Descriptions 36 3.1.2 Assumptions 37 3.1.3 Information Items of Channel Selection 37 3.1.4 Proposed Sequence Diagram of Channel Selection 38 3.2 Mathematical Formulation for Single Operator Channel Selection 40 3.2.1 Path Loss Model on 3.5GHz 42 3.2.2 Objective Function of Channel Selection for Single Operator 44 3.2.3 Channel Demand Satisfaction 46 3.3 Single Operator Channel Selection Algorithm Derivation 46 3.3.1 Single Operator Channel Selection(SOCS) 47 3.3.2 Proposed Channel Selection Algorithm 48 3.4 Numerical Performance Evaluation 50 3.4.1 Parameters Configuration of Testing Scenarios 51 3.4.2 Analysis of Channel Selection: Capacity and Pattern 52 3.4.3 Computation Time Analysis 64 3.5 Summary 66 Chapter 4 PBCF-based Frequency Assignment by SAS for Coordinating Operators’ Channel Selections 68 4.1 Problem Scenario Descriptions and Assumptions for Frequency Assignment by SAS for GAAs with LTE Networks 68 4.1.1 Problem Scenario Descriptions 69 4.1.2 Assumptions of Frequency Assignment 70 4.1.3 Information Items of Frequency Assignment 71 4.1.4 The Definition of Proportional Basic Capacity Fairness(PBCF) 72 4.2 Mathematical Formulation of Frequency Assignment for GAAs 73 4.2.1 Objective function of SAS Frequency Assignment 76 4.2.2 Interference Management 77 4.2.3 Proportional Basic Capacity Fairness(PBCF) 78 4.2.4 Coordination Index 81 4.3 Multiple Operator Frequency Assignment(MOFA) Algorithm 82 4.3.1 Step by Step of MOFA Algorithm 82 4.3.2 MOFA Algorithm 84 4.4 Numerical Performance Evaluation 87 4.4.1 Parameters Configuration and Testing Scenarios 87 4.4.2 Analysis of Frequency Assignment: Capacity and Pattern 90 4.4.3 Computation Time Analysis 107 4.5 Summary 109 Chapter 5 Implementation of Channel Selection and Frequency Assignment System 111 5.1 System Overview 111 5.1.1 ViSSA 2.0 Platform 112 5.1.2 System Architecture of Channel Selection 113 5.2 Introduction of User Interface 114 5.2.1 CBSD Web Interface 114 5.2.2 SAS Monitor Interface 115 5.2.3 Channel Selection by Domain Proxy: Initialization & Procedure Page 116 5.2.4 Gemtek X-cell Control Web Page 118 5.3 Demo Scenario I: Selecting an exclusive channel for the CBSD that has minimum total distance with other CBSDs 119 5.4 Demo Scenario II: Coordinating Operators’ Channel Selections that Each CBSD Monopolizing One Channel 123 Chapter 6 Conclusions and Future Works 128 6.1 Conclusions 128 6.2 Future Works 130 REFERENCES 133 | |
| dc.language.iso | en | |
| dc.subject | 頻譜共享 | zh_TW |
| dc.subject | 線上頻道配選平台 | zh_TW |
| dc.subject | 最佳化問題 | zh_TW |
| dc.subject | 頻譜分配 | zh_TW |
| dc.subject | 頻道選擇 | zh_TW |
| dc.subject | 一般許可接取使用者(GAA) | zh_TW |
| dc.subject | 頻譜存取系統(SAS) | zh_TW |
| dc.subject | 公民無線寬頻服務(CBRS) | zh_TW |
| dc.subject | Citizen Broadband Radio Service (CBRS) | en |
| dc.subject | Online Platform | en |
| dc.subject | Spectrum Sharing Technologies | en |
| dc.subject | Optimization Problem | en |
| dc.subject | Frequency Assignment | en |
| dc.subject | Channel Selection | en |
| dc.subject | General Authorized Access(GAA) | en |
| dc.subject | Spectrum Access System(SAS) | en |
| dc.title | 一般許可接取使用者頻道配選之機制設計與實作 | zh_TW |
| dc.title | Channel Selection and Frequency Assignment for General Authorized Accesses: Mechanism Design and Implementation | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 蔡志宏(Zsehong Tsai),廖大穎,陳懷恩,王彥中 | |
| dc.subject.keyword | 頻譜共享,公民無線寬頻服務(CBRS),頻譜存取系統(SAS),一般許可接取使用者(GAA),頻道選擇,頻譜分配,最佳化問題,線上頻道配選平台, | zh_TW |
| dc.subject.keyword | Spectrum Sharing Technologies,Citizen Broadband Radio Service (CBRS),Spectrum Access System(SAS),General Authorized Access(GAA),Channel Selection,Frequency Assignment,Optimization Problem,Online Platform, | en |
| dc.relation.page | 138 | |
| dc.identifier.doi | 10.6342/NTU201803123 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2018-08-14 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位: | 電機工程學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-107-1.pdf 未授權公開取用 | 7.73 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
