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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 | Jing-Yun Fang | en |
dc.contributor.author | 方敬勻 | zh_TW |
dc.date.accessioned | 2021-06-17T06:20:43Z | - |
dc.date.available | 2019-08-21 | |
dc.date.copyright | 2018-08-21 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-08-19 | |
dc.identifier.citation | [3GPP RP-140808] 'Review of Regulatory Requirements for Unlicensed Spectrum' 3GPP Internet draft, RP-140808, Oct. 2014
[3GPP RP-141664] Verizon, 'Study of Licensed Assisted Access Using LTE, ' 3GPP Internet draft, RP-131680, Sep. 2014. [3GPP TR 36.889] 'Feasibility Study on Licensed-Assisted Access to Unlicensed Spectrum.' 3GPP Internet draft, TR 36.889, Jul. 2015 [ACP13] E. Almeida, A. M. Cavalcante, R. C. Paiva. 'Enabling LTE/WiFi coexistence by LTE blank subframe allocation.' Communications (ICC), 2013 IEEE International Conference on, Jun 2013. [ADK14] N. L. Van Adrichem, C. Doerr, F. A. Kuipers. 'Opennetmon: Network monitoring in openflow software-defined networks. ' In Network Operations and Management Symposium (NOMS), pp. 1-8, May 2014. [ALN14] M. A. Alsheikh, S. Lin, and D. Niyato. 'Machine learning in wireless sensor networks: Algorithms, strategies, and applications.' IEEE Communications Surveys & Tutorials, pp. 1996-2018, Apr 2014. [Bel13] Richard Bellman. 'Dynamic programming. Courier Corporation.' 2013. [Bel57] Richard Bellman. 'A Markovian decision process.' Journal of Mathematics and Mechanics, pp. 679-684, 1957. [BGa87] D. P. Bertsekas, and R. G. Gallager. 'Data Communication Networks.' Prentice Hall, Englewood Cliffs, NJ, 1987. [Bia00] Giuseppe Bianchi. 'Performance analysis of the IEEE 802.11 distributed coordination function.' IEEE Journal on selected areas in communications, pp. 535-547, Mar 2000. [BKP13] O. Bejarano , E. W. Knightly, and M. Park. 'IEEE 802.11 ac: from channelization to multi-user MIMO.' IEEE Communications Magazine 51.pp. 84-90, Oct 2013. [BSC13] M. Bennis, M. Simsek, A. Czylwik. 'When cellular meets WiFi in wireless small cell networks.' IEEE communications magazine, pp. 44-50, Jun 2013. [BZo08] N. Baldo, and M. Zorzi. 'Fuzzy logic for cross-layer optimization in cognitive radio networks.' IEEE Communications magazine, Apr 2008. [Car10] Gustavo Carneiro. 'NS-3: Network simulator 3.' UTM Lab Meeting April. Vol. 20. 2010. [CAV13] A. M. Cavalcante, E. Almeida, and R. D. Vieira. 'Performance evaluation of LTE and Wi-Fi coexistence in unlicensed bands.' Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th. IEEE, 2013. [CDM03] S. Choi, J. Del Prado, and S. Mangold. 'IEEE 802.11 e contention-based channel access (EDCF) performance evaluation.' Communications. ICC'03. IEEE International Conference, pp. 1151-1156, May 2003. [CLC16] C. Cano, D. López-Pérez, H. Claussen. 'Using LTE in unlicensed bands: Potential benefits and coexistence issues.' IEEE Communications Magazine, pp. 116-123, Dec 2016. [Cle15] C. Cano, and D. J. Leith. 'Coexistence of WiFi and LTE in unlicensed bands: A proportional fair allocation scheme.' Communication Workshop (ICCW), 2015 IEEE International Conference on, Sep 2015. [CLL17] H. Cui, V. C. Leung, and S. Li. 'LTE in the unlicensed band: Overview, challenges, and opportunities.' IEEE Wireless Communications, pp. 99-105, Feb 2017 [CRG15] C. Chen, R. Ratasuk, and A. Ghosh. 'Downlink performance analysis of LTE and WiFi coexistence in unlicensed bands with a simple listen-before-talk scheme.' IEEE Vehicular Technology Conference (VTC Spring), May 2015. [DLM08] F. Daneshgaran, M. Laddomada, F. Mesiti. 'Unsaturated throughput analysis of IEEE 802.11 in presence of non ideal transmission channel and capture effects.' IEEE Transactions on Wireless Communications, pp.1276-1286, Apr 2008. [ETSI TS 136 300] 'Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description.' ETSI Internet draft, TS 136 300, Jan 2016. [For07] Anna Forster. 'Machine learning techniques applied to wireless ad-hoc networks: Guide and survey.' Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on, Dec 2007. [FSe08] S. Feng, and E. Seidel. 'Self-organizing networks (SON) in 3GPP long term evolution.' Novel Mobile Radio Research, May 2008. [FTC18] J. Y. Fang, T. Lin, C. Chang. 'Licensed Shared Access by Mobile Network, Proof-of-Concept Demonstration over ViSSA platform”, NOMS 2018: IEEE/IFIP Network Operations and Management Symposium [Gas05] Matthew Gast. '802.11 wireless networks: the definitive guide. ' O'Reilly Media, Inc, 2005. [GCZ16] Y. Gao, X. Chu, and J. Zhang. 'Performance analysis of LAA and WiFi coexistence in unlicensed spectrum based on Markov chain.' Global Communications Conference (GLOBECOM), Dec 2016. [Gwa12] Ku Gwanmo, 'Scheduling in LTE. ' Adaptive Signal Processing, Apr 2012. [HKN18] M. M. Hasan, S. Kwon, and J. H. Na. 'Adaptive Mobility Load Balancing Algorithm for LTE Small-Cell Networks.' IEEE Transactions on Wireless Communications, pp. 2205-2217, Jan 2018. [HSH16] H. He, H. Shan, A. Huang. 'Proportional fairness-based resource allocation for LTE-U coexisting with Wi-Fi.' IEEE Access 5, pp. 4720-4731, Sep 2016. [IEEE 802.11 2010] IEEE 802.11 Working Group. 'IEEE standard for information technology–Telecommunications and information exchange between systems–Local and metropolitan area networks–Specific requirements–Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 6' Wireless Access in Vehicular Environments. IEEE Std, 2010. [IEEE 802.11ac 2011]IEEE 802.11ac. 'Specification framework for TGac'. IEEE 802.11- 09/0992r21. Jan 2011. [IEEE 802.11e 2005] IEEE 802.11e/D4.0, Draft Supplement to Part 11: Wireless Medium Access Control (MAC) and physical layer (PHY) specifications: Medium Access Control (MAC) Enhancements for Quality of Service (QoS), November 2002. [IEF10] M. Iwamura, K. Etemad, and M. H. Fong. 'Carrier aggregation framework in 3GPP LTE-advanced [WiMAX/LTE Update].' IEEE Communications Magazine, Apr 2010. [JCH84] R. Jain, D. M. Chiu, and W. R. Hawe. 'A quantitative measure of fairness and discrimination for resource allocation in shared computer system. ' Vol. 38. Hudson, MA: Eastern Research Laboratory, Digital Equipment Corporation, 1984. [Jia15] Yubing Jian. 'Coexistence of Wi-fi and Laa-lte in Unlicensed Spectrum. ' Diss. Georgia Institute of Technology, Nov 2015. [JSS17] W. Jiang, M. Strufe, and H. Schotten. 'Autonomic Network Management for Software-Defined and Virtualized 5G Systems.' European Wireless 2017; 23th European Wireless Conference; Proceedings of. VDE, May 2017. [JTP14] E. Jones, T. Oliphant, and P. Peterson. '{SciPy}: open source scientific tools for {Python}.' 2014. [KAT98] F. P. Kelly, A. Maulloo, and D. Tan, 'Rate control in communication networks shadow prices, proportional fairness, and stability, ' Journal of the Operational Research Society, vol. 49, pp237-252, Apr 1998. [KJB16] H. J. Kwon, J. Jeon, and A. Bhorkar. 'Licensed-assisted access to unlicensed spectrum in LTE release 13.' IEEE communications magazine, pp. 201-207, Dec 2016. [KTB04] Z. N. Kong, D. H. Tsang , and B. Bensaou. 'Performance analysis of IEEE 802.11 e contention-based channel access.' IEEE Journal on selected areas in communications, pp. 2095-2106, Dec 2004. [KWe10] C. H. Ko, and H. Y. Wei. 'Game theoretical resource allocation for inter-BS coexistence in IEEE 802.22.' IEEE Transactions on Vehicular Technology, pp.1729-1744, Feb 2010. [KYK16] C. K. Kim, C. S. Yang, and C. G. Kang. 'Adaptive listen-before-talk (LBT) scheme for LTE and Wi-Fi systems coexisting in unlicensed band.' Consumer Communications & Networking Conference (CCNC), 2016 13th IEEE Annual, Jan 2016. [LZL15] Y. Li, J. Zheng, and Q. Li. 'Enhanced listen-before-talk scheme for frequency reuse of licensed-assisted access using LTE.' Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015 IEEE 26th Annual International Symposium, Sep 2015. [LZY16] Y. Li, T. Zhou, and Y. Yang. 'Fair downlink traffic management for hybrid LAA-LTE/Wi-Fi networks.' IEEE Access 5, pp. 7031-7041, Dec 2016. [MCF16] A. Mukherjee, J. F. Cheng, and S. Falahat. 'Licensed-assisted access LTE: Coexistence with IEEE 802.11 and the evolution toward 5G.' IEEE Communications Magazine, pp. 50-57, Jun 2016. [NTh12] K. S. Narendra ,and M. A. Thathachar.” Learning automata: an introduction. Courier Corporation.”, 2012. [OKA11] E. H. Ong, J. Kneckt, and O. Alanen. 'IEEE 802.11 ac: Enhancements for very high throughput WLANs.' IEEE Personal indoor and mobile radio communications (PIMRC), 2011 IEEE 22nd international symposium, Sep 2011. [Par11] Minyoung Park. 'IEEE 802.11 ac: Dynamic bandwidth channel access.' Communications (ICC), 2011 IEEE International Conference, Jun 2011. [Pml14] Puterman, Martin L. “Markov decision processes: discrete stochastic dynamic programming.” John Wiley & Sons, 2014. [Qua13] Extending LTE Advanced to unlicensed spectrum, white paper, Qualcomm Corp., Dec. 2014 [Qua14] 'Qualcomm Research LTE in unlicensed band: Harmonious coexistence with Wi-Fi. ' white paper, Qualcomm Corp., Jun. 2014. [RGu15] N. Rupasinghe, and İ. Güvenç. 'Reinforcement learning for licensed-assisted access of LTE in the unlicensed spectrum.' Wireless Communications and Networking Conference (WCNC), Mar 2015. [SAl05] Vasilios A. Siris, and Panagiotis Alafouzos. 'Throughput differentiation for TCP uplink traffic in IEEE 802.11 e wireless LANs.' LANMAN. 2005. [SBa98] R. S. Sutton, and A. G. Barto. 'Reinforcement learning: An introduction. Vol. 1. No. 1. ' Cambridge: MIT press, 1998. [SMI11] S. Sesia, B. Matthew, and T. Issam. 'LTE-the UMTS long term evolution: from theory to practice'. John Wiley & Sons, 2011. [SPM12] Z. Shen, A. Papasakellariou, and J. Montojo. 'Overview of 3GPP LTE-advanced carrier aggregation for 4G wireless communications.' IEEE Communications Magazine, Feb 2012. [SPO13] H. Shi, R. V. Prasad, E. Onur. 'Fairness in wireless networks: Issues, measures and challenges.' IEEE Communications Surveys & Tutorials, pp. 5-24, May 2013. [VSP16] A. M. Voicu, L. Simi´c, and M. Petrova. 'Inter-technology coexistence in a spectrum commons: A case study of Wi-Fi and LTE in the 5-GHz unlicensed band.' IEEE Journal on Selected Areas in Communications 34.11, pp. 3062-3077, 2016. [VSV17] A. M. Voicu, L. Simi’c, and J.P. de Vries. 'Analysing Wi-Fi/LTE coexistence to demonstrate the value of risk-informed interference assessment.' IEEE Dynamic Spectrum Access Networks (DySPAN), p. 1-10, 2017. [WLV10] W. Wang, X. Liu, and J. Vicente. 'Integration gain of heterogeneous WiFi/WiMAX networks.' IEEE Transactions on Mobile Computing, pp.1131-1143, Dec 2010. [WMG16] X. Wang, S. Mao, and M. X. Gong. 'A survey of LTE Wi-Fi coexistence in unlicensed bands.' GetMobile: Mobile Computing and Communications, pp. 17-23, Jul 2016. [WWZ17] K. Wang, Y. Wang, and D. Zeng. 'An SDN-based architecture for next-generation wireless networks.' IEEE Wireless Communications, pp. 25-31, Feb 2017. [WXZ17] W. Wang, P. Xu, Y. Zhang. 'Network-sensitive adaptive LAA LBT strategy for downlink LAA-WiFi coexistence.' Wireless Communications and Signal Processing (WCSP), 2017 9th International Conference on, Dec 2017. [XFE12] Y. Xiaobin, A. Fapojuwo, and E. Egbogah. 'Performance analysis and parameter optimization of random access backoff algorithm in LTE.' IEEE Vehicular Technology Conference (VTC Fall), Dec 2012. [Xia03] Yang Xiao. 'Enhanced DCF of IEEE 802.11 e to support QoS.' Wireless Communications and Networking, 2003. WCNC 2003, May 2003. [Xia04] Yang Xiao. 'IEEE 802.11 e: QoS provisioning at the MAC layer.' IEEE Wireless Communications, pp. 72-79, Jun 2004. [XZh16] J. Xiao, and J. Zheng. 'An adaptive channel access mechanism for LTE-U and WiFi coexistence in an unlicensed spectrum.' Communications (ICC), 2016 IEEE International Conference on, May 2016. [YSW15] Y. Yang, G. Song, and K. Wei. 'ACK-based adaptive backoff for random access protocols.' Science China Information Sciences 58.4, pp. 1-14, 2015. [YYM15] R. Yin, G. Yu, A. Maaref. 'Adaptive LBT for licensed assisted access LTE networks.' Global Communications Conference (GLOBECOM), Dec 2015. [YYM16] R. Yin, G. Yu, A. Maaref. 'LBT-based adaptive channel access for LTE-U systems.' IEEE Transactions on Wireless Communications, pp. 6585-6597, June 2016. [YZW10] G. Yuan, X. Zhang, and W. Wang. 'Carrier aggregation for LTE-advanced mobile communication systems.' IEEE Communications Magazine, Jan 2010. [ZCG15] H. Zhang, X. Chu, W. Guo. 'Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum.' IEEE Communications Magazine, pp. 158-164, Mar 2015. [ZWC15] R. Zhang, M. Wang, and L. X. Cai. 'LTE-unlicensed: the future of spectrum aggregation for cellular networks.' IEEE Wireless Communications, pp. 150-159, Jul 2015. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72047 | - |
dc.description.abstract | 為了處理LTE無線網路快速增加的資料流量,3GPP提出了Licensed Assisted Access (LAA) 技術使用載波聚合(Carrier Aggregation)技術來整合執照頻譜(licensed band)以及 5GHz 免執照頻譜(unlicensed band)頻譜資源,增加可用頻譜以及系統容量。然而使用免執照頻譜時,LTE-LAA將無可避免的與免執照頻譜的大宗Wi-Fi產生共存問題。
LTE-LAA與Wi-Fi採用先聽後說Listen-Before-Talk機制來接取頻譜資源,Listen-Before-Talk (LBT)機制會在傳輸前會依照Contention window(CW)和back-off stage(m)設定等待數個時間幀(time slot)來分享頻譜資源。然而,LTE-LAA除了LBT外還有獨特的CCA機制,如果通到空閒CCA 時間則LTE-LAA會直接開始傳輸。除此之外,LTE-LAA是中央式管理且有執照頻譜來協調免執照頻譜。因此,LTE-LAA比Wi-Fi有更高的頻譜使用效率(spectrum efficiency)。然而,增加LTE-LAA的接取將會佔據Wi-Fi的頻譜資源造成不公平。如何客觀的訂定比例性公平(Proportional Fairness)指標並且在公平以及效率中取捨是我們在LAA與Wi-Fi共存網路中的核心問題。 為了調整共存網路中的公平以及效率關係,我們研究對3GPP在LAA接取機制中所訂定的三個參數 CCA, CW, m進行調整,來改變LAA在與Wi-Fi共存下的資源配置。為此,我們需要理解三個參數設定對公平及效率的影響來做合適的配置。然而,除了接取機制以外,LAA與Wi-Fi的流量(traffic load), 地理位置 以及偵測閥值(detect threshold)都會影響LAA及Wi-Fi的資源分配。 在單一運營商擁有的LAA和Wi-Fi間,由於無法完全掌握共存網路中共存的所有裝置與通道的狀態,需要為LAA設計有適應環境調整參數設定的功能,以有效共存。 在本研究當中,我們以3GPP TR36.889所設定的LAA與Wi-Fi共存環境進行研究,考慮室內環境中,使用cat.4 LBT的LTE-LAA與Wi-Fi在5GHz免執照頻譜的下行接取情形。主要的研究問題以及相應的挑戰為: P1.如何基於LTE-LAA與Wi-Fi網路接取的比例公平(proportionally fair)及效率(efficiency)訂定合理的效能指標? C1.訂定除測量吞吐量(throughput)與理論傳輸速率(theoretic link data rate)外考慮流量的比例性公平指標及效能指標公平與效率間的取捨。 P2.公平效率的效能指標與LAA 先聽後說(Listen before talk)機制參數(CCA, CW, m)之間的關係為何? C2.LAA-LBT中CW, m以及新的CCA參數設定與網路效能間關係複雜,目前沒有可供快速、精確估計的數學模型。 P3.如何適應(adapt)網路環境設定出最佳的LAA LBT參數(CCA, CW and m)? C3.設計可根據回報的網路效能指標找出最佳LAA LBT參數配置的演算法。 在本篇研究當中,我們基於Jain’s fairness index設計我們的比例性公平標準,計算公平性時使用測量的吞吐量做為分子、取基站流量和理論傳輸速率的較小者最為分母,因此達到考慮真實基站流量需求和避免無效資源分配。而後將我們的比例公平指數及網路總吞吐量加權相加得到效能指標(Performance index) 。我們設定不同的效能指標權重對參數配置與效能指標的關係進行分析,讓其他研究者可以依照結果設置權重達到想要的公平和效率分配。 為了得到參數設置與公平跟效率的關係,我們延伸Wi-Fi LBT 馬可夫鍊(Markov-Chain)模型,加入CCA機制相關的狀態(state)及狀態轉換流程(transition flow)發展出LAA與Wi-Fi共存網路的數學模型。此模型可以快速的估算出網路效能並結得出參數與效能的關係,並得到CCA機制的特性,因此,我們借由此模型設計了依序輸入CCA, CW, m進行分析得到最佳參數的數值(numerical)最佳化方法。但是此模型主要用於LBT機制的分析,在進行真實網路模擬時發現效能也會被LBT外因子影響,所以,我們基於reinforcement learning原理設計了我們的LAA LBT參數適應演算法(Adaptive LAA LBT Parameters Algorithm),此演算法可以藉由目前環境回報的效能指數對LTE-LAA LBT參數進行動態的調整,從而在複雜環境中找到最佳配置。即使環境發生改變,此演算法也可以持續的對參數進行動態修正。最後,我們在現有LTE-LAA 協定上(protocol)加入參數最佳化模組。 我們開發了Wi-Fi與LAA共存網路的模擬器進行模擬,同時將我們的參數最佳化模組設計實做於模擬平台,進行概念驗證與效能評估。結果顯示當使用數值最佳化方法於狹小室內時,在最佳化效率時可以達到10%的網路總吞吐量改善,而在最佳化公平性時則都可以得到0.95以上的公平指數。而使用適應(adaptive)最佳化於寬闊的室內時,可以在不影響系統公平性的狀況下提升20%的網路總吞吐量,同時在最佳化公平性時也可較標準配置得到0.1-0.2的公平指標改善。 | zh_TW |
dc.description.abstract | To cope with rapid traffic growth of LTE wireless access networks, 3GPP has proposed Licensed Assisted Access (LAA) technology to operate in 5GHz unlicensed band. LTE-LAA aggregates licensed band and unlicensed band traffic through Carrier Aggregation (CA) technique. LTE-LAA technology can increase available spectrum resource and improve system capacity. However, LTE-LAA would inevitably coexist with Wi-Fi access networks, which have been widely operated in unlicensed band.
Both LTE-LAA and Wi-Fi MAC layer adopt Listen-Before-Talk (LBT) mechanism. To share spectrum resource, LBT mechanism will wait for several time slot before transmit data based on contention window (CW) and back-off stage (m) setting. However, LTE-LAA has unique CCA mechanism except LBT mechanism, which will instantly start transmission if station finds channel idle for CCA period. Furthermore, LTE-LAA can coordinate unlicensed band via licensed band LTE signal with centralized system. Therefore, LTE-LAA has more spectrum efficiency than Wi-Fi. However, increasing LTE-LAA channel access will occupy Wi-Fi spectrum resource and cause unfairness of channel accesses. Trade-off between spectrum efficiency and fairness of access is an important problem in coexistence network. To strike a balance between fairness and efficiency, we study LAA MAC parameters (CCA, CW and m) which are specified by 3GPP to adjust unlicensed spectrum resource access between LAA and Wi-Fi. To make proper configuration, we have to analyze the relationship among three LAA LBT parameter setting, efficiency and fairness. However, except for channel access mechanism, traffic load, position and detection threshold of LAA and Wi-Fi would also influence network resource allocation. Because LAA and Wi-Fi stations which own by one operator can’t absolutely got the states and channel information of all devices, we need to design optimal LAA parameter setting algorithm which can adapt to current environment for effective coexistence. In our research, we follow 3GPP specification (TR 36.889) LAA cat.4 LBT, and consider downlink access of unlicensed band channels in indoor environment. There are three research problems and their respective challenges are as follows: P1. What is a meaningful performance index for proportionally fair and efficient spectrum accesses by LAA and Wi-Fi network? C1. The definition of proportional fairness should include traffic load besides measured throughput and theoretic link data rate and its trade-off with efficiency in overall performance. P2. Relationship between performance indices of fairness and efficiency and LAA LBT (CCA , CW , m) parameters? C2. CCA which is new mechanism in LAA-LBT, CW and m have complex relationship to performance and currently have no numerical model for rapid and precise evaluation P3. How to set optimal LAA LBT parameters (CCA, CW and m) adapt to environment? C3. Design algorithm to find optimal parameters based on performance index feed-back. In this research, we firstly give the performance a brief definition by weighting summing proportional fairness and system total throughput. We design proportional fairness criteria based on Jain’s fairness index. We use measured throughput as numerator and apply lesser between traffic load and theoretic link rate as denominator for considering traffic demand and avoiding ineffective resource allocation. Then, we simulate the different weighting of fairness and efficiency to analyze the relationship between LAA parameters setting and performance index. Network designer can set proper weighting to achieve desired fairness and efficiency based on our analysis. Following, to clarify the relationship among LAA parameter setting, fairness and efficiency. We extend the Wi-Fi LBT Markov-chain model with new states and transition flows to establish LAA model with adjustable CCA. MC model can rapidly evaluate network performance and obtain property of CCA mechanism so we exploit MC model to design numerical optimization method which sequentially searches CCA, CW, m to find LAA optimal parameter setting. However, the MC model can only handle behavior of LBT mechanism and we find other factors also influence coexistence network performance a lot in network simulation. Thus, we design an Adaptive LAA LBT Parameter Algorithm (ALLPA) based on reinforcement learning. This adaptive optimization algorithm can dynamically update configuration based on the environment performance feed-back. As a result, ALLPA can update optimal parameters in complex and changing environment. We develop a network simulator to simulate coexistence network and implement our optimization modules into the experiment platform to prove the concept and evaluate algorithmic performance. As a result, when applying numerical optimization in a 20mx20m indoor environment, we can improve 10% system throughput and achieve fairness index values higher than 0.95. When applying adaptive optimization in a 100mx100m indoor environment, we can obtain 20% system throughput improvement without degrading fairness index and improve fairness index values by 0.1 – 0.2 as compared to fairness index value achieved under standard LAA parameter setting. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T06:20:43Z (GMT). No. of bitstreams: 1 ntu-107-R05942114-1.pdf: 6383488 bytes, checksum: 17bb1944b90a786f90ce660cf608a810 (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | Abstract i
中文摘要 vi Table of Contents ix List of Figures xii List of Table xv Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Literature Review 2 1.3 Scope of Thesis 3 1.4 Organization of Thesis 4 Chapter 2 LAA and Wi-Fi for Fair and Efficient Access Problem Description 6 2.1 Introduction to 802.11ac MAC Layer Protocol 6 2.1.1 Distributed Coordinated Function in CSMA/CA Spectrum Access Mechanism 8 2.1.2 802.11e Priority Schemes 10 2.1.3 Enhancement in 802.11ac 13 2.2 Introduction to LTE in Unlicensed Band 14 2.2.1 Introduction to LTE Architecture 15 2.2.2 Carrier Aggregation between Licensed and Unlicensed Access 22 2.2.3 Listen-Before-Talk Mechanism in LTE Licensed Shared Access(LAA) 24 2.3 LAA and Wi-Fi Coexistence 26 2.3.1 Comparison of LTE and Wi-Fi : PHY & MAC Layer 26 2.3.2 LBT-based Coexistence Mechanism 29 2.3.3 Review on Fairness and Efficiency Definition 31 2.3.4 Coexistence Network 34 2.4 Fair and Efficient Access Problem 36 2.4.1 Problem Description and Definition: Fair and Efficient Accesses by LAA? 38 2.4.2 Challenges of Adaptive LAA Protocol Design for LAA and Wi-Fi 40 Chapter 3 LAA LBT Parameter Optimization for Fair and Efficient Coexistence with Wi-Fi 44 3.1 Fairness and Efficiency Combined Performance Index for LAA and Wi-Fi Coexistence 45 3.1.1 Proportional Fairness and Efficiency: Definitions 45 3.1.2 PF&E Performance Index: Definition and Property 47 3.2 Analytical model and Simulation Result of Numerical Optimization 51 3.2.1 Markov-Chain Analytical Model 52 3.2.2 Analytical Model for LBT Spectrum Access Mechanism 52 3.2.3 Throughput Analysis 61 3.2.4 Performance of Numerical Optimization 76 3.3 Summary 80 Chapter 4 Adaptive Algorithm Design and Optimization Performance 82 4.1 Adapting LAA LBT Parameter Algorithm (ALLPA) Design 82 4.1.1 Introduction to Markov Decision Process 85 4.1.2 Introduction to Q-learning 85 4.1.3 Reinforcement Learning in LAA 88 4.2 Optimization Algorithm Performance 91 4.2.1 Configuration 92 4.2.2 Performance of Adaptive Optimization 94 4.2.3 Comparison and Discussion 99 4.3 Summary 104 Chapter 5 Protocol Design for Fair and Efficiency Access Coexistence of LAA and Wi-Fi 105 5.1 Innovative Adaptive Coexistence Protocol Design 105 5.1.1 Assumption about the Environment 106 5.1.2 Service to Achieve Fairness and Efficiency 110 5.1.3 Adaptive Mechanism Flow 111 5.2 New Architecture Design 113 5.2.1 System Architecture 114 5.2.2 Whole Optimization Procedure 116 Chapter 6 Implementation of Unlicensed Resource Allocation System 119 6.1 System Overview 119 6.2 Introduction of System Procedure 121 6.3 Introduction of User Interface 122 Chapter 7 Conclusion and Future Work 131 7.1 Conclusion 131 7.2 Future Works 132 Bibliography 134 | |
dc.language.iso | en | |
dc.title | 與Wi-Fi公平有效共存於免執照頻段之LAA 多工接取層自適應參數設定研究 | zh_TW |
dc.title | Adaptive MAC Parameter Setting for Fair and Efficient Coexistence of LAA and Wi-Fi in Unlicensed Band | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 王奕翔(I-Hsiang Wang),周俊廷(Chun-Ting Chou),王彥中(Yan-Zhong Wang),廖大穎(Da-Yin Liao) | |
dc.subject.keyword | 免執照長期演進技術,需執照協助之存取,公平,效率,公平效率取捨,長期演進技術及WiFi共存,先聽後說機制,協定設計,自適應參數調整,強化學習演算法,馬可夫鍊, | zh_TW |
dc.subject.keyword | LAA,Wi-Fi,fairness,efficiency,LAA-WiFi coexistence,listen-before-talk,protocol design,reinforcement learning,markov-chain,trade-off between fairness and efficiency,LBT parameters adjustment,adaptive algorithm, | en |
dc.relation.page | 139 | |
dc.identifier.doi | 10.6342/NTU201803980 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-08-19 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
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