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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71934

    Title: Opportunistic Scheduling for Multicast over Wireless Networks
    Authors: 郭耀睿;Polacek,Pavol
    Contributors: 通訊工程學系
    Date: 2016-07-14
    Issue Date: 2016-10-13 14:07:37 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 透過無線傳輸方式的資料量在近十年大幅增長,並且預期在下個世代
    無線傳輸的效率和傳輸能力是必然的趨勢近期,Opportunistic Scheduling
    中,同時能應用於Cognitive Radio (CR)與Multimedia Broadcast multicast
    service Single Frequency Network (MBSFN)的環境下。探討並克服在上述
    兩個情境底下,Opportunistic Multicasting (OM) 排程如何設計才能提升
    整體吞吐量。首先,我們探討了Multiuser Diversity (MUD)的理論分析,
    第二,我們針對不同Modulation and Coding Scheme (MCS)的調整間隔,
    探討了Signal-to-interference-plus-noise Ratio (SINR)在MBSFN的分布情
    供較佳的服務品質給用戶。;The demand for wireless data is continuously rising and is expected to
    increase. To cope with this growth, it is necessary to work towards higher
    network capacity and improved network capabilities.
    In the recent period, opportunistic concepts started to take hold and
    being part of research into communication technologies. Opportunistic
    Scheduling (OS) is a scheduling approach for wireless channels, where channel
    quality is considered, when making scheduling decisions. The scheduler
    transmits to users with relatively better signal quality, so the average
    amount of transmitted data can be increased. The focus of this thesis
    will be on OS as a method for increasing the transmission e ciency and
    its implementation in wireless networks. The main research topic of the
    dissertation is thus multicasting with OS, i.e. Opportunistic Multicasting
    (OM), and its adaptation to Cognitive Radio (CR) and Multimedia Broadcast
    multicast service Single Frequency Network (MBSFN) networks. More
    speci cally, how it ts into the these types of networks and what kind of
    obstacles need to be tackled, before OM can be successfully deployed.
    First we study the theory of Multiuser Diversity (MUD) and provide
    a novel concept unifying internal and external MUD, enabling us to formulate
    the system sum and user throughput. The resulting CR algorithm
    design approaches the derived throughput advantage. Second, we look
    at Signal-to-interference-plus-noise Ratio (SINR) distribution in MBSFN
    networks and Spectrum E ciency (SE) of OM under extended Modulation
    and Coding Scheme (MCS) adaptation interval. Using the results, we design
    a low feedback, low complexity, and slow MCS change based algorithm
    suited for MBSFN.
    The resulting algorithm designs are well suited to the studied CR
    and MBSFN networks. Extensive simulations show, that the presented
    algorithm designs perform better than previous designs, enabling better
    quality service to users.
    Appears in Collections:[通訊工程研究所] 博碩士論文

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