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研究生:陳路儉
研究生(外文):Lu-Chien Chen
論文名稱:應用類神經網路來達成無線網路上下傳的公平性
論文名稱(外文):Using Neural Network to Achieve Uplink and Downlink Fairness in Wireless Network
指導教授:林宗男林宗男引用關係
指導教授(外文):Tsung-Nan Lin
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:電信工程學研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:英文
論文頁數:68
中文關鍵詞:無線網路上傳下傳公平性類神經網路
外文關鍵詞:WLANuplinkdownlinkfairnessneuron network
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無線網路在今日的世界中已經非常流行了.許多人經由無線網路來上網,接收電子邮件或是玩線上遊戲.大部分的無線設備都是根據美國電子電機協會所製定的無線網路通訊標準802.11分散式協調功能來製造的.但是在分散式的無線網路中,存取點和每個無線工作平台對無線通道的存取的機會是相同的.這個特性會造成無線網路中上傳和下傳非常嚴重的不公平性,特別是在當無線工作平台增加時.在這篇論文中我們提出一個非常有力的解決方式就是利用類神經網路來達成無線網路上傳和下傳的公平性.我們的方法很容易可以應用在無線網路的存取點,而且不用修改802.11無線網路通訊標準.我們的模擬結果証明我們的方法不僅可以達成無線網路上傳和下傳的公平性,還可以根據無線環境的變化來動態調整上傳和下傳的比例.
Today Wireless Local Area Network (WLAN) is very popular. Many people go to Internet, receive E-mail or play on-line game through WLAN. Most of WLAN devices are based on the IEEE 802.11 Distributed Coordination Function (DCF) [1]. However in Institute of Electrical and Electronics Engineers (IEEE) 802.11 DCF-based infrastructure WLAN, the opportunity of accessing wireless channel is the same for each mobile station and access pointer (AP). This feature will cause very serious unfairness problem between the traffic flow of the uplink and downlink, especially when the number of stations increases. In this paper we propose a powerful solution that using neuron network (NN) to solve this problem. Our solution is easy to implement at the AP side without the modification of the IEEE 802.11 standard. The simulation results indicate that our proposed method is not only to achieve fairness between the uplink and downlink traffic flow, but also to dynamic adjust the ratio between uplink and downlink according to the WLAN environment changing.
Abstract--------------------------------------------------i
Acknowledgments-----------------------------------------iii
I.INTRODUCTION--------------------------------------------1
II.BACKGROUD DESCRIPTION----------------------------------5
2.1 Overview the families of IEEE 802.11------------------5
2.2 802.11 MAC Mechanism---------------------------------10
2.3 802.11 WLAN Configuration----------------------------16
III. IEEE 802.11 DCF THROUGHPUT--------------------------19
3.1 Markov chain analytic model with idea channel--------20
3.2 Markov chain analytic model with error prone channel-23
IV. PROBLEM INDENTIFY------------------------------------28
V. NEURAL NETWORKS---------------------------------------32
5.1 Cost-reward function---------------------------------32
5.2 Learning the nonlinear function----------------------34
5.3 Adjusting the back-off parameters--------------------36
5.4 Adaptive NN algorithm--------------------------------38
VI. SIMULATION RESULTS-----------------------------------42
6.1Analytic simulation results---------------------------42
6.2 NS-2 simulation results------------------------------57
VII. CONCLUSION------------------------------------------65
REFERENCES-----------------------------------------------66
[1] IEEE, “IEEE Standard for Information Technology– Telecommunications and Information Exchange between Systems – Specific Requirements – Part11: Wireless LAN MAC and PHY Specifications,” IEEE Standard 802.11-1999, IEEE, New York, 1999.
[2] António Grilo, Mário Nunes” PERFORMANCE EVALUATION OF IEEE 802.11E”Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on Publication Date: 15-18 Sept. 2002 Volume: 1, On page(s): 511- 517 vol.1
[3] Sung Won Kim, Byung-Seo Kim, and Yuguang Fang”Downlink and Uplink Resource Allocation in IEEE 802.11 Wireless LANs” IEEE Transactions on Vehicular Technology, vol. 54, no. 1, January 2005
[4] Nagesh S. Nandiraju,Hrishikesh Gossain, Dave Cavalcanti,Kaushik R. Chowdhury, Dharma P. Agrawa” Achieving Fairness in Wireless LANs by Enhanced 802.11 DCF” U.C. ECECS Technical Report 2005-03 August 2005
[5] Jiwoong Jeong, Sunghyun Choi, and Chong-kwon Kim “Achieving Weighted Fairness between Uplink and Downlink in IEEE 802.11DCF-Based WLANs” Proceedings of the 2nd Int''l Conf. on Quality of Service in Heterogeneous Wired/Wireless Networks (QShine''05) 2005 IEEE
[6] D.J.Leith,P.Clifford,D.Malone,and A.Ng”TCP Fairness in 802.11e WLANs”
IEEE Communications Letters, Vol. 9, no. 11, November 2005
[7] M. Bottigliengo, C. Casetti, C.-F. Chiasserini, M. Meo” Smart Traffic Scheduling in 802.11 WLANs with Access Point” Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th
[8] C. Casetti and C.-F. Chiasserini” IMPROVING FAIRNESS AND THROUGHPUT FOR VOICE TRAFFIC IN 802.11E EDCA” Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on Publication Date: 5-8 Sept. 2004 Volume: 1, on page(s): 525- 530 Vol.1
[9] G. Bianchi, “Performance Analysis of the IEEE 802.11 Distributed Coordination Function,” IEEE Journal on Selected Areas in Communications, vol. 18, no. 3, pp. 535-547, March 2000.
[10] T. S. Ho and K. C. Chen, “Performance Analysis of IEEE 802.11 CSMA/CA Medium Access Control Protocol,” in Proc. IEEE PIMRC ’96, pp.407-411, 1996.
[11] W. Yue and Y. Matsumoto, “An Exact Analysis for CSMA/CA Protocol in Integrated Voice/Data Wireless LANs”, in Proc. IEEE Globecom ’00, December 2000.
[12] F. Cali, M. Conti, and E. Gregori, “IEEE 802.11Protocol: Design and Performance Evaluation of an Adaptive Backoff Mechanism,” IEEE Journal on Selected Areas in
Communications, vol. 18, no.9, pp. 1774-1786, September 2000.
[13] Chiapin Wang and Tsungnan Lin “On Fairness in Heterogeneous WLAN Environments”,in Proc.IEEE Globecom’06,December 2006
[14] Mihaela van Der Schaar, Davis Sai Shankar N, Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms, Wireless Communications, IEEE Volume 12, Issue 4, Aug. 2005 Page(s):50 – 58
[15] Haykin S., Neural Networks: A Comprehensive Foundation, 2nd edition, Prentice Hall.
[16] K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators, Neural Networks Volume 2, Issue 5 1989 Pages: 359 – 366
[17] Wei Wang, Soung Chang Liew, and Victor O. K. Li, ”Solutions to Performance Problems in VoIP Over a 802.11 Wireless LAN” IEEE Transactions on Vehicular Technology, Vol. 54, no. 1, January 2005
[18] S. Garg and M. Kappes,”Can I add a VoIP call?” in IEEE International
Conference on Communications (ICC), (Anchorage, Alaska), 2003
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1. 伊慶春、陳玉華. (1998). 奉養父母方式與未來奉養態度之關連. 人口學刊, 19, 1-32.
2. 吳凱勳. (1997). 「高齡化社會」與「長期照護保險」(上)--介紹德國長期照護保險法. 長期照護雜誌, 1(1), 3-14.
3. 呂寶靜. (1998). 老人非正式和正式照顧體系關係之初探:從家人和日託中心工作員協助項目的比較分析出發. 社會政策與社會工作學刊, 2(1), 3-38.
4. 李美玲, 王香蘋. (1997). 臺灣老人金錢所得的變化與影響因素:1989-93年. 人文及社會科學集刊, 10(2), 267-288.
5. 李淑霞, 吳淑瓊. (1997). 家庭照顧者負荷與憂鬱之影響因素. 護理研究, 6(1), 57-67.
6. 周玉慧, 莊義利. (2000). 晚年生活壓力、社會支持與老人身心健康之變遷:長期資料分析. 人文及社會科學集刊, 12(2), 218-317.
7. 林如萍, 鄭淑子, 高淑貴. (1999). 農家代間的孝道責任期待:不同性別、世代之分析. 中華家政學刊, 28, 77-92.
8. 林鶴玲, 李香潔. (1999). 臺灣閩、客、外省族群家庭中之性別資源配置. 人文及社會科學集刊, 11(4), 475-528.
9. 胡幼慧. (1996). 台灣老年人口的依賴結構初探:以老年婦女為例. 人口學刊, 17, 83-112.
10. 張世雄. (1997). 高齡社會福利政策的思考. 政策月刊, 28, 5-7.
11. 陳正芬, 王正. (2001). 長期照護需求與社會救助系統間的競合關係. 社區發展季刊, 95, 111-121.
12. 陳正芬, 吳淑瓊. (2006). 家庭照顧者對長期照護服務使用意願之探討. 人口學刊, 32, 出版中.
13. 章英華. (1994). 變遷中的家戶組成與奉養態度--臺灣的例子. 國立臺灣大學社會學刊, 23, 1-34.
14. 楊靜利. (1999). 老年人的居住安排--子女數量與同居傾向因素之探討. 人口學刊, 20, 167-183.
15. 葉光輝. (1998). 年老父母居住安排的心理學研究:孝道觀點的探討. 中央研究院民族學研究所集刊, 83, 121-168.