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研究生: 莊彥宣
Chuang, Yen-Hsuan
論文名稱: 利用波束成形技術基於名聲拍賣賽局之綠能合作式無線網路傳輸機制
Reputation Auction Games for Cooperative Communications with Beamforming Technology
指導教授: 林輝堂
Lin, Hui-Tang
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 59
中文關鍵詞: 綠色網路合作式通訊拍賣理論名聲系統中斷效能虛擬波束成形
外文關鍵詞: Green wireless networks, cooperative communication, auction game, reputation system, virtual beamforming
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  • 合作式通訊是近年被廣泛討論的技術,可以有效降低中斷機率並且增加能源使用效率,適合應用於綠能無線網路。但是過往的研究多假設中繼節點願意無條件的幫助傳輸,這樣的假設顯然並不合理。為此,本實驗室先前提出了名聲拍賣賽局的機制,利用間接互惠的概念,刺激使用者來協助進行合作傳輸。但是,當整體的能源使用被限制的時候,越多的中繼節點反而無法發揮效能,無法充分發揮合作式通訊的優點。
    基於此,本研究提出一個新的名聲拍賣機制,結合最近被廣泛討論的虛擬波束成形技術。虛擬波束成形技術利用多個中繼節點來協助傳輸訊號,形成一道訊號波束,藉此提高接收訊號的強度,而因為近年來通道估測技術的進步,虛擬波束成形技術也變得可行。本研究將依據虛擬波束成形技術,提出一個較為簡單的中繼節點選擇方案,並為了更進一步提高效能,本研究也設計兩個最佳中繼節點數量選擇法以及動態功率選擇法的方案。最後的結果顯示,雖然簡單方案的效能略遜於先前的機制,但是設計以及運行的成本也較低,整體是可以接受的,並且效能會隨著參與合作的中繼節點數量增加而上升也證明了此機制受惠於合作式通訊的分集多樣性,改善先前研究所提出機制的不足。另外結果也顯示,動態功率方案的效能,無論是中斷機率或是功率消耗,都比先前研究所提出的機制還要好,說明使用虛擬波束成形技術可以提高合作式通訊網路的效能,並且也證明我們所提出的機制同時是可靠與節能的。

    Cooperative communication is a simple but effective scheme that can reduce outage probability and power consumption for next-generation green wireless networks. However, in cooperative networks, the assumption that all users of a wireless network would be willing to help transmit is not realistic. Based on this, our laboratory’s previous work proposed a reputation auction game to stimulate users to perform cooperative transmission via the concept of indirect reciprocity. However, the simulation and analysis results indicated that the performance of multiple-relay cooperation scheme was not better than single-relay scheme, neither in outage probability or energy consumption.
    Accordingly, we proposed a cooperation scheme by exploiting virtual beamforming to improve the performance in multiple-relay transmission scheme. Virtual beamforming is a multiple-input single-output (MISO) system which utilizes multiple relays to form a beam. It became feasible because of the progress of channel estimation technology. Based on virtual beamforming, a simple relay selection algorithm was designed to allocate reputation and power. To achieve higher performance, two adaptive and dynamic power algorithms were also proposed. Finally, we compared our auction game with previous work via computer simulation. The simulation results demonstrated that the proposed scheme outperforms previous work. The results have also shown that cooperative communication networks can benefit from virtual beamforming technology and our auction game is both reliable and energy saving.

    摘要 i Abstract iii Acknowledgements v List of Figures ix List of Tables xi Chapter 1 Introduction 1 1.1 Overview 1 1.2 Cooperative Networks 2 1.2.1 Multiple-Input Single-Output (MISO) System 2 1.2.2 Beamforming technology 3 1.2.2.1 Physical Beamforming 3 1.2.2.2 Virtual Beamforming 3 1.3 Fairness and Willingness 4 1.3.1 Auction Game 4 1.3.2 Indirect Reciprocity 4 1.4 Reputation Auction Game 5 1.5 Motivation 6 1.6 Objective and Thesis Outline 7 1.6.1 Objective 7 1.6.2 Thesis Outline 8 Chapter 2 Related Works 9 2.1 Cooperation Protocol and Resource Allocation 9 2.1.1 Cooperation Protocols 10 2.1.2 Resource Allocation 11 2.1.2.1 Opportunistic relaying 11 2.1.2.2 Cooperative Wireless Sensor Network 11 2.1.2.3 To Cooperate or Not 12 2.2 DCAS and DCAM 12 2.3 Beamforming Technology 13 2.3.1 Physical Beamforming with Antenna Array 13 2.3.2 Virtual Beamforming with Relays 14 Chapter 3 Descending Clock-Proxy Auction with Beamforming (DCAB) 16 3.1 System Model and Problem Statement 16 3.1.1 System Model 16 3.1.2 Channel Model 17 3.1.3 Channel Capacity and Outage Event 19 3.1.4 Problem Statement 21 3.2 Two-Stage Cooperation 22 3.3 Initialization Stage 23 3.3.1 Reputation Auction 23 3.3.2 Proxy Auction 24 3.3.3 Utility Function 25 3.3.4 Descending Clock 25 3.3.5 Three Phases of the Initialization Stage 27 3.3.6 DCAB Relay Selection 28 (a) Fixed Number of Relays 28 (b) Maximum SNR gain 30 (c) Dynamic Power Control 31 3.4 Data Transmission Stage 33 Chapter 4 Performance Evaluation 34 4.1 Simulation Setup 35 4.2 Simulation Results 37 4.2.1 Fixed number of relays 37 4.2.2 Maximum SNR gain and dynamic power control 41 4.2.3 Remaining energy 43 4.2.4 Willingness to cooperate 45 4.2.5 Total round used 48 4.2.6 Compare DCAB with other’s work 51 Chapter 5 Conclusion 54 Reference 56

    S. Pollin et al., "MEERA: Cross-Layer Methodology for Energy Efficient Resource Allocation in Wireless Networks," IEEE Transactions on Wireless Communication, vol. 8, no. 1, pp. 98-109, Jan 2008.
    The Climate Group SMART 2020 Report, "SMART2020: Enabling the Low Carbon Economy in the information Age," June 2008. [Online]. Available: http://www.theclimategroup.org.
    Z. Sheng and Z. Ding, "Cooperative Wireless Networks: From Radio to Network Protocol Designs," vol. 49, no. 5, pp. 64-69, May 2011.
    Li Li et al., "Cooperative Communication Based on Random Beamforming Strategy in Wireless Sensor Networks," IEEE GLOBECOM, Dec 2012.
    Y. Hao et al., "Energy Efficient Network Beamforming Design Using Power-Normalized SNR," IEEE Transactions on Wireless Communications, vol. 13, no. 5, pp. 2756-2769, May 2014.
    L. Zhang et al., "Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information," IEEE Transactions on Signal and Information Processing over Networks, vol. 1, no. 2, pp. 117-128, June 2015.
    Q. Cao et al., "Relay Power Allocation and Pricing in Multi-User Relay Networks using Game Theory," in IEEE International Conference on Acoustics, Speech and Signal Processing, March 2012.
    Q. Cao et al., "Power Allocation in Multi-User Wireless Relay Networks through Bargaining," IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 2870-2882, June 2013.
    H. Ohtsuki et al., "Indirect Reciprocity Provides Only a Narrow Margin of Efficiency for Costly Punishment," Nature, vol. 457, pp. 79-82, Jan 2009.
    Seinen and A. Schram, "Social Status and Group Norms: Indirect Reciprocity in a Repeated Helping Experiment," European Economic Review, vol. 50, no. 3, pp. 581-602, April 2006.
    M. A. Nowak and K. Sigmund, "Evolution of Indirect Reciprocity," Nature, vol. 437, pp. 1291-1298, Oct 2005.
    Ule, Aljaž, et al., "Indirect Punishment and Generosity Toward Strangers," Science, vol. 326, no. 5960, pp. 1701-1704, Dec 2009.
    Y. Chen and K. J. R. Liu, "Understanding Microeconomic Behaviors in Social Networking: An Engineering View," IEEE Signal Processing Magazine, vol. 29, no. 2, pp. 53-64, March 2012.
    Y. Chen and K. J. Ray Liu, "Indirect Reciprocity game Modelling for Cooperation Stimulation in Cognitive Networks," IEEE Transactions on Communications, vol. 59, no. 1, pp. 159-168, Jan 2011.
    H. T. Lin and W. S. Yan, Reputation Auction Games for cooperative Communications over Green Networks, 2015.
    Liang Song et al., "Cooperative Transmission in Poisson Distributed Wireless Sensor Networks: Protocol and Outage Probability," IEEE Transactions on Wireless Communications, vol. 5, no. 10, pp. 2834-2843, Oct 2006.
    Zhu Han et al., "High Performance Cooperative Transmission Protocols Based on Multiuser Detection and Network Coding," IEEE Transactions on Wireless Communications, vol. 8, no. 5, pp. 2352-2361, May 2009.
    Jonghyun Park et al., "Capacity Analysis for Distributed Antenna Systems Using Cooperative Transmission Schemes in Fading Channels," IEEE Transactions on Wireless Communications, vol. 8, no. 2, pp. 586-592, Feb 2009.
    Aggelos Bletsas et al., "Cooperative Communications with Outage-Optimal Opportunistic Relaying," IEEE Transactions on Wireless Communications, vol. 6, no. 9, pp. 3450-3460, Sep 2007.
    Qing F. Zhou et al., "Decode-and-Forward Two-Way Relaying with Network Coding and Opportunistic Relay Selection," IEEE Transactions on Communications, vol. 58, no. 11, pp. 3070-3076, Nov 2010.
    Zhong Zhou et al., "Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks," IEEE Transactions on Wireless Communications, vol. 7, no. 8, pp. 3066-3078, Aug 2008.
    H. Feng et al., "To Cooperate or Not to Cooperate: An Outage Analysis of Interference-Limited Wireless Networks," IEEE Transactions on Wireless Communications, vol. 13, no. 2, pp. 822-833, Feb 2014.
    P. Viswanath et al., "Opportunistic Beamforming using Dumb Antennas," IEEE Transactions on Information Theory, vol. 48, no. 6, pp. 1277-1294, Jun 2002.
    V. Veen et al., "Beamforming: A Versatile Approach to Spatial Filtering," IEEE ASSP Magazine, vol. 5, no. 2, pp. 4-24, April 1988.
    [Online]. Available: http://mathscinotes.com/2012/01/beamforming-math/.
    Munoz-Medina et al., "Linear Transceiver Design in Nonregenerative Relays With Channel State Information," IEEE Transactions on Signal Processing, vol. 55, no. 6, pp. 2593-2604, Jun 2007.
    Lei Zhang el al., "Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information," IEEE Transactions on Signal and Information Processing over Networks, vol. 1, no. 2, pp. 117-128, Jun 2015.
    G. Lim et al., "Energy-Efficient Cooperative Beamforming in Clustered Wireless Networks," IEEE Transactions on Wireless Communications, vol. 12, no. 3, pp. 1376-1385, March 2013.

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