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博碩士論文 etd-0830112-160942 詳細資訊
Title page for etd-0830112-160942
論文名稱
Title
在隱匿式感知無線電網路中次要合作式系統之生命週期最大化
Lifetime Maximization of Secondary Cooperative Systems in Underlay Cognitive Radio Networks
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
45
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
2012-07-30
繳交日期
Date of Submission
2012-08-30
關鍵字
Keywords
中繼站選擇、網路生命週期、合作式通訊、感知無線電
relay selection, cognitive radio network, network lifetime, cooperative communication
統計
Statistics
本論文已被瀏覽 5654 次,被下載 1064
The thesis/dissertation has been browsed 5654 times, has been downloaded 1064 times.
中文摘要
在本篇論文中,我們結合了感知無線電網路(cognitive radio network, CRN)及合作式傳輸(cooperative transmission)的概念,探討了中繼站選擇(relay selection)、功率分配(power allocation)以及網路生命週期(network lifetime, NLT)的問題。感知無線電可以針對頻譜資源不足以及頻譜效用不彰而造成浪費的情況,利用其感知、學習及協調之特性進行改善,提升頻譜資源的利用度和效用。然而,在隱匿式(underlay)感知無線電網路中,由於次用戶(secondary user, SU)能傳送的能量受限於主用戶(primary user, PU)的干擾限制,因此透過次用戶之間的合作式傳輸,可將多個用戶互相配合形成一個虛擬的天線陣列(antenna array),從而利用其空間多樣性(spatial diversity)提高訊號傳輸率(transmission rate)及可靠度。若相互合作的次用戶之行動裝置非一般的插電裝置,擁有無限的能量來源,而為電池式的裝置時,該如何讓網路在有限的能量下顧及網路生命週期的長度,成了我們迫切需要解決的問題。在本論文中,我們探討如何利用中繼站選擇的方式,在使次用戶的傳輸率維持穩定且遵守對主用戶的干擾限制之前提下,減少傳送功率的浪費及消耗,進而延長網路的生命週期。而本文與先前的研究中,最大的不同點在於網路生命週期的定義方式,若網路的中斷機率(outage probability)低於預設標準,即假設:網路若可維持穩定運作,這段期間的最大長度則定義為網路生命週期。本篇論文提出了四個中繼站選擇的方法,並將即時通道狀態資訊(channel state information, CSI)及剩餘能量資訊(residual energy information, REI)納入考慮以延長網路生命週期,由於我們提出的選擇策略只需個別中繼站的通道狀態資訊及剩餘能量資訊,因此各中繼站只要記錄自己的狀態,並配合機會式感測(opportunistic sensing)的機制,即可以分散的方式完成中繼站選擇之工作,而無須大量資訊交換,將系統的成本降低許多。
Abstract
In this thesis, we consider cognitive radio networks (CRN) combined with cooperative transmission, and investigate relay selection and power allocation strategies to maximize network lifetime (NLT). Cognitive radio network enhances spectrum efficiency resource by exploiting capabilities of cognition, learning and coordination against insufficient spectrum resource. In underlay cognitive radio network, however, transmitted energy of secondary user is constrained by interference level observed at primary user (PU). Though cooperation among secondary users (SU), multiple relays from virtual antenna array to improve transmission rate and reliability by exploiting spatial diversity. Most existing works assume that cooperative secondary users are plugged and with infinite energy device. In this thesis, we consider secondary cooperative systems where relays are battery-powered and with finite energy. We will investigate relay-selection schemes to reduce energy consumption of secondary relays and prolong network lifetime under the premises that secondary user’s transmission rate is guaranteed and interference constraint of primary user is met. Our major difference between this work and previous works is the definition of network lifetime, which is defined by the maximum duration that the probability of secondary user’s achievable rate below the guaranteed value, i.e. outage probability, is lower than a predetermined threshold. We proposed four relay-selection methods which take channel state information (CSI) and residual energy information (REI) into considerations to prolong network lifetime. Since the selection metrics of the proposed strategies requires CSI and REI of each individual relay, so the relay-selection can be accomplished in distributed manner through opportunistic sensing. No additional overhead is demanded for information exchange.
目次 Table of Contents
致謝 ii
摘要 iv
Abstract v
目錄 vii
圖目錄 viii
第一章 簡介 1
第二章 相關背景 5
2.1 背景 5
2.2 相關文獻 8
2.2.1 系統模型 8
2.2.2 通道模型 10
2.2.3 能量模型 10
2.2.4 行為空間 11
2.2.5 狀態空間及轉移機率 11
2.2.6 系統報酬 12
2.2.7 模擬與討論 12
第三章 系統模型 15
第四章 網路生命週期最大化 19
4.1 網路生命週期定義 19
4.2 中斷機率分析 20
4.3 網路生命週期最大化 25
4.4 中繼站選擇 25
4.5 演算流程 27
第五章 模擬結果 29
第六章 結論 33
參考文獻 34
參考文獻 References
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[9] Q. Zhao, B. Krishnamachari, and K. Liu, “On myopic sensing for multichannel opportunistic access: structure, optimality, and performance,” IEEE Transactions on Wireless Communications, 2008.
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[13] I. Krikidis, J. N. Laneman, J. Thompson, and S. McLaughlin, “Protocol design and throughput analysis for multi-user cognitive cooperative systems,” IEEE Trans. Wireless Commun., vol. 8, no. 9, pp. 4740–4751, Sep. 2009.
[14] V. Chakravarthy, X. Li, Z. -Q. Wu, M. A. Temple, F. Gaber, R. Kannan and A. Vasilakos, “Novel overlay/unverlay cognitive radio waveforms using SD-SMSE framework to enhance spectrum efficiency — Part I: Theoretical framework and analysis in AWGN Channel”, IEEE Trans. Commun., vol. 57, no. 12, pp. 3794-3804, December 2009.
[15] Y. Han, A. Pandharipande, and S. Ting, “Cooperative decode-andforward relaying for secondary spectrum access,” IEEE Trans. Wireless Commun., vol. 8, no. 10, pp. 4945–4950, October 2009.
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