博碩士論文 102523005 詳細資訊




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姓名 張凌瑋(Lin-Wei Zhang)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 感知無線電中繼網路下使用能量採集的傳輸策略之設計與模擬
(Design and Simulation of Transmission Policies for Cognitive Relay Networks with Energy Harvesting)
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摘要(中) 在感知無線電中繼網路下,合作式頻寬分享(Cooperative Spectrum Sharing)是一種被提出來解決頻譜使用效率不彰問題的方法。在合作式頻寬分享中,主要使用者可以藉由次要使用者中繼傳送來達到更高的傳輸率,作為回報,主要使用者必須釋放自己的部分頻寬給次要使用者進行傳送。如何促進合作與資源的分配是合作式頻寬分享的重要議題。
與大部份的文獻不同,本研究中所考慮的主要使用者與次要使用者節點都為能量採集結點,節點中電池的能量可能會或多或少甚至沒有,並非源源不絕的,因此,本論文以綠能通訊的觀點,考慮在一組主要使用者及次要使用者在合作式頻寬分享下,設計出一傳輸策略能使整體效益最大。
本論文中,吾人使用馬可夫決策過程(Markov Decision Process)來解決在能量採集、通道及電池狀態會隨著時間變動的情況下,在各種狀態決定出最佳動作,使得系統整體的傳輸中斷機率最小。再者吾人也考慮若沒有狀態轉移機率的環境中,使用Q-Learning 來決定最佳策略。最後再比較各種傳輸策略與本研究提出的方法的效能差異。
摘要(英) Cooperative Spectrum Sharing (CSS) is proposed as a solution for the inefficient utilization of the spectrum. In CSS of cognitive-radio networks, primary licensed user (PU) with poor channel condition (between its transmitter and receiver) can achieve a higher data rate by using a secondary unlicensed user (SU) as a relay. In return, the primary user possibly decides to lease part of its spectrum resource to secondary users in exchange for appropriate remuneration. The key point of CSS is how the PU and SU agree on the cooperative transmissions and resource allocations. In previous schemes, they are propose on the transmission policy with unconstrained energy. However, we focus on wireless sensor networks with energy harvesting and propose a method between PU and SU ‘s transmits policies in CSS. In our study, we formulate the problem as a Markov Decision Process (MDP) framework by which the channel states, battery conditions and harvested process are stochastic. Moreover, we also consider the condition without information of transition probability. In this case, we use the Q-learning algorithm to find the optimal transmission policies .Finally, we compare the performance of our scheme with others.
關鍵字(中) ★ 感知無線電
★ 無線中繼網路
★ 馬可夫決策過程
★ 能量採集
★ Q-Leargning
★ 合作式頻寬分享
關鍵字(英) ★ Cognitive Radio
★ Wirelass Relay Networks
★ Markov Decision Process
★ Energy Harvesting
★ Q-Leargning
★ Cooperative Spectrum Sharing
論文目次 目錄
致謝 i
摘要 ii
Abstract iii
圖目錄 vi
表目錄 vii
第一章 緒論 1
1.1 研究動機與背景 1
1.2 文獻探討 2
1.3 論文架構 3
第二章 感知無線電 4
2.1感知無線電簡介 4
2.2 中繼網路簡介 5
2.3合作式頻寬分享簡介 5
2.4合作式頻寬分享模型架構 6
第三章 馬可夫決策過程 9
3.1馬可夫決策過程簡介 9
3.2 馬可夫系統模型 11
3.2.1 狀態集合 11
3.2.2 能量採集轉移模型 12
3.2.3 電池轉移模型 14
3.2.4 通道轉移模型 14
3.2.5 動作集合 16
3.2.6 系統狀態轉移機率 16
3.2.7 報酬函式 17
3.2.8決定最佳策略 20
3.3 結果觀察與定理的分析 21
第四章 Q-Learning 29
4.1 Q-Learning簡介 29
4.2 Q-learning系統模型 30
4.2.1系統狀態 30
4.2.2動作集合 30
4.2.3 報酬函式 31
4.2.4 決定最佳策略 32
第五章 模擬結果與討論 33
5.1系統期望傳輸中斷機率 33
5.2模擬參數 36
5.3模擬結果與討論 37
第六章 結論 44
參考文獻 45

參考文獻 [1] Haobing Wang1, Lin Gao1, Xiaoying Gan, Xinbing Wang and Ekram Hossain, “ Cooperative Spectrum Sharing in Cognitive Radio Networks: A Game-Theoretic Approach,” IEEE ICC 2010 proceedings
[2] Yang Yan, Jianwei Huang, Xiaofeng Zhong, Ming Zhao and Jing Wang, “Sequential Bargaining in Cooperative Spectrum Sharing: Incomplete Information with Reputation Effect,” IEEE Globecom 2011 proceedings.
[3] Dusit Niyato and Ping Wang, “Credit-Based Spectrum Sharing for Cognitive
Mobile Multihop Relay Networks,” IEEE WCNC 2010 proceedings.
[4] O. Simeone, I. Stanojev, S. Savazzi, Y. Bar-Ness, U. Spagnolini, and R. Pickholtz, “Spectrum Leasing to Cooperating Secondary Ad Hoc Networks,” IEEE Journal On Selected Areas In Communications, vol. 26, no. 1, Jan. 2008.
[5] Yao Zhang , Supeng Leng and Ming Zeng, “An Auction-theoretic Spectrum Leasing Scheme for Cognitive Radio Networks,” IEEE ICCP, pp.29-34, Oct. 2012.
[6] Chao Zhai and Wei Zhang, “Adaptive Spectrum Leasing with Secondary User
Scheduling in Cognitive Radio Networks,” IEEE Transactions On Wireless Communications, vol. 12, no. 7, July 2013.
[7] Seyed Mahdi Mousavi Toroujeni, Seyed Mohammad-Sajad Sadough and Seyed Ali Ghorashi,“ Time-Frequency Spectrum Leasing for OFDM-Based Dynamic Spectrum Sharing Systems,” IEEE WiAD ,pp.1-5 ,June.2010.
[8] Meng-Lin.Ku,(no.36 Feb.2012),「寬頻感知無線電及壓縮感測技術簡介」,Proc. Networked Commu. Progarm(NCP),Nweslett., Taiwan,[Online].Available: http://www.ce.ncu.edu.tw/~mlku/NCP_mlku.pdf
[9] Martin L. Puterman, “Markov Decision Process, ”.
[10] Meng-Lin.Ku, Yan Chen, K. J. Ray Liu, “Data-Driven Stochastic Models and Policies for Energy Harvesting Sensor Communications,” IEEE Journal On Selected Areas In Communications, Jan. 2015.
[11] H. S. Wang and N. Moayeri, “Finite-state Markov channel-a useful
model for radio communication channels, ”IEEE Trans. Veh. Technol., vol. 44, no. 1, pp. 163-171, Feb. 1995.
[12] Meng-Lin Ku, Wei Li, Yan Chen and K. J. Ray Liu, "Advances in Energy Harvesting Communications: Past, Present, and Future Challenges," submitted to IEEE Communications Surveys and Tutorials, 2015.
[13] Wei Li, Meng-Lin Ku, Yan Chen and K. J. Ray Liu, "On Outage Probability for Two-Way Relay Networks with Stochastic Energy Harvesting," submitted to IEEE Trans. Wireless Communications, 2015.
[14] K,J, Ray Liu, Ahmed K. Sadek, Weifeng Su, and Andres Kwasinski, “Cooperative communications and networking”
指導教授 古孟霖(Meng-Lin Ku) 審核日期 2015-7-23
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