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博碩士論文 etd-0705115-161257 詳細資訊
Title page for etd-0705115-161257
論文名稱
Title
搭載能量收割及噴泉碼機制之感知無線電網路中最佳資源分配
Optimal Resource Allocation in Fountain Coded Cognitive Radio Networks with Energy Harvesting Secondary Users
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
54
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2015-07-27
繳交日期
Date of Submission
2015-08-25
關鍵字
Keywords
感知無線電網路、梯度搜尋、噴泉碼、資源分配、能量收割、合作式通訊
gradient search, resource allocation, cooperative communication, energy harvesting, cognitive radio network, fountain code
統計
Statistics
本論文已被瀏覽 5645 次,被下載 277
The thesis/dissertation has been browsed 5645 times, has been downloaded 277 times.
中文摘要
近幾年來,無線上網成為現今人們常用的上網方式,帶動了通訊相關科技發展。然而隨著無線通訊技術快速發展,人們對於無線資料傳輸的需求日以俱增,使得頻譜的資源逐漸變得稀少和珍貴。並且隨著半導體的發展,人們所持有的智慧型裝置功能也與日俱增,能量的消耗也隨之增長,因此有學者提出可以將接收之電磁波轉為能量並儲存,延長智慧型裝置使用時間,此技術便稱能量收割(Energy harvesting)。本論文將考慮一組主用戶及多組次用戶的感知無線電網路系統,並且次用戶的傳輸能量來源是利用能量收割獲取主用戶的發送功率。次用戶除了接收主用戶所發送的功率,也會擔任主用戶中繼站幫助主用戶傳輸,使主用戶能更快完成傳輸訊號,讓次用戶有更多時間傳輸自己的訊號。我們針對次用戶所接收到的能量以及傳輸時間進行最佳化的分配,讓次用戶的吞吐量(Throughput)達到最大。由於我們有多組次用戶,因此每組次用戶都有屬於自己的最佳化資源分配及吞吐量,故我們會從中選擇一個擁有最大吞吐量的次用戶幫助主用戶傳輸訊號。並且為了避免主用戶傳輸發生中斷導致時間及頻帶的浪費,我們在所有傳送端加上噴泉碼的錯誤更正碼,確保主用戶不會發生中斷並能完成傳輸。本論文的目標在於確保主用戶能完成傳輸的條件下,針對每個次用戶所能收集到的能量以及可以傳輸自己訊號的時間等資源進行最佳化的分配,使次用戶吞吐量達到最大化並得到最佳化的封閉形式(Closed-form)資源分配值,再從多組次用戶中選出一個能產生最大吞吐量的次用戶進行傳輸。本論文最後將以電腦模擬呈現,此系統進行最佳化資源分配並隨著次用戶數量越多,次用戶所能達到的吞吐量也會隨之上升。
Abstract
In recent years,people rely on mobile communication in their daily life due to rapid development of wireless communications, which leads to growing demand of wireless data transmission.With this regard,spectrum resources become more and more scarce and expensive.With the development of electronic devices,mobile devices have more and more powerful functions, leading to increase on energy consumption.Therefore, RF energy harvesting that converts RF signals into electricity has been investigated to extend the battery lifetime of smart devices.Scholars have suggested that it can be converted to electromagnetic energy reception.This paper considers cognitive radio networks with one pair of primary users(PU) and multiple pairs of secondary users(SU), where second transmitters harvest energy from signal transmitted by PU.One the other hand, SU acts as a relay to boost primary transmission.THus, SU can be allocated with longer time-period to transmit itsown signal.We investigate optimal resource allocation at secondary user to maximize SU's throughput subject to guaranteeing success of primary transmission.Due to we have multiple SUs, we will choose one optimal SU based on the maximal throughput according to the optimal resource allocation of respective SU.In order to enhance spectrum efficiency we adopt fountain coding to ecnode primary message at both PU and SU.This thesis aims to optimize the resource allocation of SUs in term of maximal throughput under the premise of successful primary transmission.Give the choice of SU, we derive close-form solution of optimal resource allocation maximum throughput.Finally, it shows through simulations that throughput of secondary transmission increases with the number of SU.
目次 Table of Contents
論文審定書. . . . . . . . . . . . . . . . . . . . . . . . . . . . i
誌謝. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii
摘要. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii
Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv
圖目錄. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
第一章簡介. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
第二章相關背景. . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1 感知無線電系統. . . . . . . . . . . . . . . . . . . . . . . 5
2.2 前人相關研究. . . . . . . . . . . . . . . . . . . . . . . . 7
2.2.1 在合作式中繼站網路實現噴泉碼傳輸. . . . . . . . . . . . . 7
2.2.2 在感知無線電系統加入能量收割機制下進行最佳化合作策略. . . 8
第三章系統模型. . . . . . . . . . . . . . . . . . . . . . . . . . .11
3.1 次用戶協助傳輸模式流程. . . . . . . . . . . . . . . . . . .15
3.2 主用戶直接傳輸模式流程. . . . . . . . . . . . . . . . . . .19
第四章傳輸模式判斷以及最佳化資源分配. . . . . . . . . . . . . . . .21
4.1 次用戶協助傳輸模式與最佳化資源分配. . . . . . . . . . . . .21
4.2 主用戶直接傳輸模式與最佳化資源分配. . . . . . . . . . . . .25
4.3 最佳次用戶選擇以及最大化次用戶吞吐量. . . . . . . . . . . .26
第五章模擬結果與討論. . . . . . . . . . . . . . . . . . . . . . . .30
第六章結論. . . . . . . . . . . . . . . . . . . . . . . . . . . . .38
參考文獻. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .39
附錄. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .41
參考文獻 References
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in collaborative relay networks,” IEEE Trans. Wireless. Commun., vol. 6, no. 11,
pp. 4108 –4119, 2007.
[3] S. Yin, E. Zhang, Z. Qu, L. Yin, and S. Li, “Optimal cooperation strategy in
cognitive radio systems with energy harvesting,” IEEE Trans. Wireless Commun,
vol. 13, no. 9, pp. 4693 – 4707, 2014.
[4] I. Akyildiz, W. Lee, M. Vuran, and S. Mohanty, “Next generation/dynamic spectrum
access/cognitive radio wireless networks: a survey,” Elsevir Computer Networks,
vol. 50, pp. 2127–2159, 2006.
[5] I. J. Mitola and J. G. Q. Maguire, “Cognitive radio: making software radios more
personal,” IEEE Personal Commun. Mag., vol. 6, no. 6, pp. 13–18, 1999.
[6] Q. Zhang, J. Jia, and J. Zhang, “Cooperative relay to improve diversity in cognitive
radio networks,” IEEE Commun. Mag., vol. 47, pp. 111 –117, 2009.
[7] M. Luby, “Lt codes,” Proc. 43rd Annual IEEE Symp. Foundations Computer
Science (FOCS), pp. 271 –282, 2002.
[8] J. W. Byers, M. Luby, and W. Mitzenmacher, “A digital fountain approach
to asynchronous reliable multicast,” IEEE J. Select. Areas Commun., vol. 20,
pp. 1528 –1540, 2002.
[9] S. Sudevalayam and P. Kulkarni, “Energy harvesting sensor nodes: survey and
implications,” IEEE Commun. Surveys Tuts., vol. 13, no. 3, pp. 443 –461, 2011.
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