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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 蔡志宏(Zse-hong Tsai) | |
dc.contributor.author | Shun-Lung Cheng | en |
dc.contributor.author | 鄭舜隆 | zh_TW |
dc.date.accessioned | 2021-06-15T01:26:28Z | - |
dc.date.available | 2011-07-27 | |
dc.date.copyright | 2009-07-27 | |
dc.date.issued | 2009 | |
dc.date.submitted | 2009-07-23 | |
dc.identifier.citation | [1] P. Leaves, et. al, “Dynamic spectrum allocation in a multi-radio environment:
concept and algorithm, ” IEE Second International Conference on 3G Mobile Communication Technologies, pp. 53-57, March 2001. [2] P. Leaves, et. al, “Performance evaluation of dynamic spectrum allocations for multi-radio environments,” IST Mobile Communications Summit, September 2001. [3] J. Huschke and P. Leaves, “Dynamic spectrum allocation algorithm including results of DSA performance simulations,” DRiVE Deliverable D09, Information society technologies, 2003. [4] M. Buddhikot, et. al, “DIMSUMnet: New directions in wireless networking Using coordinated dynamic spectrum access,” in Proc. IEEE WoWMoM’05, June 2005. [5] W. Klotz, “Graph Coloring Algorithms,” Technical Report Mathematik-Bericht 2002/5, TU Clausthal, 2002. [6] K.I Aardal, C. Hurkens, J.K. Lenstra, and S. Tiourine, “Algorithms for radio link frequency assignment: the CALMA project,” Operation Research vol.50, no.6, November-December 2002. [7] K.I. Aardal, A. Hipolito, C.P.M. van Hoesel, and B. Jansen, “A branch-and-cut algorithm for the frequency assignment problem,” Research Memorandum 96/011, Maastricht University. [8] M. Zhang, and T. P. Yum, “The nonuniform compact pattern allocation algorithm For cellular mobile systems,” IEEE Transaction on Vehicular Technology, vol.40, no.2, May 1991. [9] Graph coloring Website, http://en.wikipedia.org/wiki/Graph_coloring. [10] A.I. Giortzis, and L.F. Turner “Application of mathematical programming to the Fixed channel assignment problem in mobile radio networks,” IEEE Proceeding-Communications vol.144, no.4, August 1997. [11] K.I. Aardal, C. Hurkens, J.K. Lenstra, and S. Tiourine, “Algorithms for radio link frequency assignment: the CALMA project,” Operation Research vol.50, no.6, November-December 2002. [12] K.N. Sivarajan, R. J. McEliece, and J. W. Ketchum, “Channel assignment in cellular radio,” in Proc. 39th IEEE Vehicular Technology Conference, 1989. [13] S. Anand, A. Sridharan, K.N. Sivarajan, ” Performance analysis of channelized cellular systems with dynamic channel allocation,” IEEE Transaction on Vehicular Technology, vol.52, July 2003. [14] S. Bhattacharya, H.M. Gupta, S. Kar, “Traffic Model and Performance Analysis of Cellular Mobile Systems for General Distributed Handoff Traffic and Dynamic Channel Allocation,” IEEE Transaction on Vehicular Technology, vol.57, Nov 2008. [15] WiMAX Forum, “Fixed, Nomadic, portable and mobile applications for 802.16-2004 and 802.16e WiMAX networks,” July 2004. [16] ITU-R Rec.M.1645, “Framework and Overall Objectives for the Future Development of IMT 2000 and Systems Beyond IMT 2000,” June,2003. [17] V. Chandrasekhar, J. Andrews, A. Gatherer, “Femtocell networks: a survey,” Digital Object Identifier 10.1109/MCOM,vol.46, pp.59 – 67, September 2008. [18] UMTS HSDPA Website, http://www.umtsworld.com/technology/hsdpa.htm. [19] 3GPP Website, http://www.3gpp.org/article/lte. [20] 彭心儀、唐震寰, ”對於美國700MHz頻譜規劃之初步觀察,” 電信國家型科技計畫, 2008年8月 [21] Mobile broadband services and spectrum, http://www.ofcom.org.uk/ [22] C.-J.Yan, F.-M. Zhao, W. Wang, D. He, “A pre-emptive channel borrowing scheme and performance analysis for wireless overlay networks,” IEEE Int. Neural Networks and Signal Processing, June 2008. [23] H. Xie and S. Kuek, ”Priority handoff analysis,” Proc. IEEE VTC-93, 1993. [24] T. Harks, ”Utility Proportional Fair Bandwidth Allocation: An Optimization Oriented Approach,” ZIB-Report 04-32, August 2004. [25] C. Liu, L. Shi, B. Liu, “Utility-Based Bandwidth Allocation for Triple-Play Services,” Fourth European Conference ECUMN '07 on Universal Multiservice Networks, pp 327-336, Feb 2007. [26] C.M. Lagoa, C. Hao, B.A. Movsichoff, “Adaptive control algorithms for decentralized optimal traffic engineering in the Internet.” IEEE/ACM Transactions on Networking, vol.12, pp.415-428, June 2004. [27] S. Jordan, P. Varaiya, “Control of multiple service, multiple resource communication networks,” IEEE Transactions on Communications, vol. 42, pp. 2979-2988, Nov. 1994. [28] F. P. Kelly, “Reversibility and Stochastic Networks”, John Wiley & Sons, New York, 1979. [29] J-F. P. Labourdette & G. Hart, “Blocking Probabilities in Multitraffic Loss Systems: Insensitivity, Asymptotic Behavior, and Approximations”, Technical Report, Center for Telecommunications Research, Columbia University. [30] G. J. Foschini, B. Gopinath, and J. F. Hayes, “Optimal allocation of servers to two types of competing customers,” IEEE Transaction on Communications, vol 29, pp. 1051-1055, July 1981. [31] K.W. Ross, D.H.K. Tsang, “The stochastic knapsack problem,” IEEE Transaction on Communications, vol 37, pp. 740-747, July 1989. [32] Concentration rate Website, http://taiwan.cnet.com/digilife/0,2000089053,20092546,00.htm | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42862 | - |
dc.description.abstract | While the internet and digital transmission are developed, the demand of high transmission rate, file sharing or video on demand have been increasing rapidly. However, the spectrum resource of a popular band is often limited. If users’ requests are not served, the dissatisfied and blocking probability are increasing. We have thus proposed an architecture for multiple networks to allocating the spectrum dynamically. When traffic loads is high and the congestion phenomenon occurs, dynamic channel allocation can improve the higher probability of blocking and promote the whole system utilization. In the thesis, we assume four user types to communicate adopting two spectrums in seven cells. Besides, channel borrowing scheme is also taking account of.
We propose three channel allocation policies: (1) Radio resource with admission control. (2) Reallocation on hourly basis. (3) Reallocation on non-hourly basis. In the thesis, we will analyze the performance of these policies with simulation and find the best allocation policy under blocking probability and utility. Last but not least, we could decide the appropriate concentration rate through the best policy to give consideration to quality of service and profit. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T01:26:28Z (GMT). No. of bitstreams: 1 ntu-98-R96942116-1.pdf: 1523659 bytes, checksum: d30431b957589f1ba9a484dfea4e0800 (MD5) Previous issue date: 2009 | en |
dc.description.tableofcontents | 中文摘要 I
ABSTRACT II 目錄 III 圖目錄 V 表目錄 VI 第一章 緒論 1 1.1 研究動機與背景介紹 1 1.2 相關研究 2 1.3 問題描述 4 1.3.1 使用者類型之研究 4 1.3.2 頻段分配之研究 6 1.4 研究目標 10 1.5 論文章節架構 11 第二章 系統架構與演算法 13 2.1 系統架構 13 2.2 劃分頻道保留與handoff rate之研究 17 2.3 效用函數介紹 19 2.4 壅塞預測及強制中斷時間點之綜合分析研究 21 2.4.1 壅塞預測分析研究 21 2.4.2 使用時間分析 25 2.5 策略二與策略三的比較 27 2.6 集縮比與超賣頻寬之探討 29 第三章 模擬結果與效能分析 31 3.1 模擬參數設計 31 3.2 固定集縮比之下,檢驗不同使用者之最佳分配策略 34 3.2.1 時段間交通量變化性大 34 3.2.2 時段間交通量變化性小 40 3.3 達到滿意度前提下,決定集縮比的大小 47 3.3.1 在容忍的中斷機率範圍下,調整不等式最低下限的情形 48 3.3.2 固定不等式最低下限的情形下,變動容忍被中斷的機率 50 3.4 檢視不同使用者族群比例對頻譜使用率的影響 52 第四章 結論與未來研究方向 57 4.1 結論 57 4.2 未來研究方向 58 參考文獻 59 | |
dc.language.iso | zh-TW | |
dc.title | 在兩種無線網路間動態頻道分配下之效能分析 | zh_TW |
dc.title | Performance Analysis on Dynamic Channel Allocation
between Two Wireless Systems | en |
dc.type | Thesis | |
dc.date.schoolyear | 97-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 孫雅麗,李揚漢,林宗男,謝宏昀 | |
dc.subject.keyword | 動態頻譜分配,集縮比,壅塞,允入控制, | zh_TW |
dc.subject.keyword | Dynamic Spectrum Allocation,handoff,HSDPA,concentration rate,admission control, | en |
dc.relation.page | 61 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2009-07-23 | |
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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