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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/33490完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蔡志宏 | |
| dc.contributor.author | Yao-Liang Chung | en |
| dc.contributor.author | 鍾耀梁 | zh_TW |
| dc.date.accessioned | 2021-06-13T04:43:26Z | - |
| dc.date.available | 2008-07-24 | |
| dc.date.copyright | 2006-07-24 | |
| dc.date.issued | 2006 | |
| dc.date.submitted | 2006-07-17 | |
| 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 S. Ghaheri-Niri, “Guard band coordination of areas with differing spectrum allocation,” IST Mobile Communications Summit, September 2001. [4] J. Huschke and P. Leaves, “Dynamic spectrum allocation algorithm including results of DSA performance simulations,” DRiVE Deliverable D09, Information society technologies, 2003. [5] P. Leaves, et. al, “Dynamic spectrum allocation in composite reconfigurable wireless networks,” IEEE Communications Magazine, vol. 42, no.5, pp.72-81, May 2004. [6] M. Buddhikot, et. al, “DIMSUMnet: New directions in wireless networking using coordinated dynamic spectrum access,” in Proc. IEEE WoWMoM’05, June 2005. [7] A.M. Kuzminskiy and H.R. Karimi, “Future wireless communication based on multi-radio access networks,” in Proc. Wireless World Research Forum WWRF-11, June 2004, Oslo-Norway. [8] U.K. Department of Trade and Industry, U.K. Department of Culture, Media and Sport, “A New Future for Communications White Paper,” Dec. 2000. [9] Federal Communications Commission, “FCC takes steps to make more spectrum available through the development of secondary markets,” unofficial announcement of Commission action, Nov. 2000. [10] Spectrum Trade Associate, “Spectrum Trading Associates is pleased to respond to Ofcom’s consultation on Spectrum Liberalization,” STA Website, November 2004. [11] Office of Communications Website, http://www.ofcom.org.uk/, “Spectrum Liberalization,” Ofcom, November 2004. [12] H. Xie and S. Kuek, “Priority handoff analysis,” Proc. IEEE VTC-93, 1993. [13] N. Bartolini, “Handoff and optimal channel assignment in wireless networks,” Mobile Networks and Applications, 2001. [14] D. Hong, and S. Rappaport, “Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures,” IEEE Transactions on Vehicular Technology, vol. VT-35, no. 3 , pp. 170-177, Aug. 1986. [15] D. Hong and S. Rappaport, “Priority oriented channels access for cellular systems serving vehicular and portable radio telephones,” IEE Proc. I, vol. CSV-136, pp. 339–346, 1989. [16] Q.-A. Zeng, K. Mukumoto and A. Fukuda, “Performance analysis of mobile cellular radio system with two-level priority reservation handoff procedure,” IEICE Transactions on Communication, vol. E80-B, no. 4, pp. 598–607, 1997. [17] R. Guerin, “Queuing-blocking system with two arrival streams and guard channels,” IEEE Transactions on Communication, vol. 36, pp. 153–163, Feb. 1998. [18] B.-L. Lim, and W.-C. Wong, “Hierarchical optimization of microcellular call handoffs,” IEEE Transactions on Vehicular Technology, vol 48, no.2, pp.459-466, 1999. [19] S. Almeida, S. Queijo, L.-M. Correia , “Spatial and temporal traffic distribution models for GSM,” Proc. IEEE Vehicular Technology Conference, pp. 131–135, June 1999. [20] W. Li, and A.-S. Alfa, “Channel reservation for handoff calls in a PCS network,” IEEE Transactions on Vehicular Technology, Jan. 2000. [21] Q.-A. Zeng, and D.-P. Agrawal, “Modeling and efficient handling of handoffs in integrated wireless mobile networks,” IEEE Transactions on Vehicular Technology, vol.51, no.6, pp.1469-1478, Nov. 2002. [22] A.-M. Law and W.-D. Kelton, 'Simulation Modeling and Analysis,' 3rd ed., McGraw-Hill, 2000. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/33490 | - |
| dc.description.abstract | 動態頻譜分配能隨著多個無線網路系統在同一分享頻帶下交通量之變化做適應性的調整而增進頻譜使用效率。在此研究中，我們使用中控決策的演算法，也就是頻譜管理者週期性地重新分配頻譜給兩個無線網路系統在同一蜂巢中。我們提出兩階層的數學模型(頻譜階層模型與呼叫階層模型)來建構動態頻譜分配。我們已藉由模擬來驗證數值結果。數值結果和模擬結果顯示動態頻譜分配的效能優於固定頻譜分配的方式且我們使用近似估計及疊代演算法來完成效能分析。因此當頻譜是有限時，我們提出的數學模型及演算法能增進服務的品質。 | zh_TW |
| dc.description.abstract | Dynamic spectrum allocation can improve spectrum efficiency by exploiting the traffic loads variations of multiple wireless network systems, when they share neighboring band. In this study, we use a centralized approach in which a spectrum manager periodically re-allocates spectrum among two networks in a single cell. We propose a two levels model (a spectrum level model and a call level model) to characterize the dynamic spectrum allocation. We have further validated the approximated numerical results by simulations. Numerical and simulation results show that the performances of networks with the dynamic spectrum allocation are better than those with fixed allocation and complete its performance analysis via approximation and iterative approach. Hence, we conclude that our model and scheme can improve Quality of Service (QoS) of wireless networks when spectrum is limited. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T04:43:26Z (GMT). No. of bitstreams: 1 ntu-95-R93942032-1.pdf: 1764393 bytes, checksum: 5786bc489fa8a98d535a9e7abdabe3b1 (MD5) Previous issue date: 2006 | en |
| dc.description.tableofcontents | Chapter 1 Introduction….……………………………………………...1
1.1 Motivation and Background………………..…………………...............1 1.2 Proposed Ideas…………………………………………………………..2 1.3 Organization of the Thesis..…...………………………………………...3 Chapter 2 The Proposed Mathematical Model and Queueing Analysis..4 2.1 The Two Levels Mathematical Model…………………………..............4 2.2 The Call Level Model…………………………………………………...7 2.3 The Transition Probabilities of Spectrum Level Model………………..12 2.4 Performance Analysis…………………………………………………..15 Chapter 3 Numerical and Simulation Results…..……………………..18 3.1 Experiment 1 for Regular Data Service…………………………..........18 3.2 Experiment 2 for Heavy Data Service…………………………………22 Chapter 4 Conclusions and Future Works…………..………………...25 4.1 Conclusions……………………………………………………….........25 4.2 Future Works……………………….…………………………………..25 Appendix A Notations………………………………………………...27 Appendix B Action Sets of the Centralized Algorithm……………….31 Appendix C Derivation for the Transition Probabilities of the System States……………………………………………………33 References………………………………………………………………44 | |
| dc.language.iso | en | |
| dc.subject | 動態頻譜分配 | zh_TW |
| dc.subject | dynamic spectrum allocation | en |
| dc.title | 針對兩種無線通訊系統動態頻譜分配下建立數學模型與效能分析 | zh_TW |
| dc.title | Modeling and Analysis of Dynamic Spectrum Allocation of
Two Wireless Communication Systems | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 94-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 林一平,張仲儒,張時中 | |
| dc.subject.keyword | 動態頻譜分配, | zh_TW |
| dc.subject.keyword | dynamic spectrum allocation, | en |
| dc.relation.page | 46 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2006-07-18 | |
| 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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