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研究生： 郭士源
Shih_Yuan Kuo
論文名稱： 於全雙工雲端無線接取網路中之上下行波束成型設計
Uplink and Downlink Beamforming Design in Full-Duplex Cloud Radio Access Networks
指導教授： 林士駿
Shih-Chun Lin
口試委員: 張縱輝
Tsung-Hui Chang
鍾偉和
Wei-Ho Chung
黃昱智
Yu-Chih Huang
學位類別： 碩士
Master
系所名稱： 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年： 2017
畢業學年度： 105
語文別： 英文
論文頁數： 51
中文關鍵詞： 全雙工 、波束成型 、波束成形
外文關鍵詞： full duplex, beamforming
相關次數： 點閱：193  下載：2 
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    • 在本論文中，我們考慮全雙工射頻拉遠單元（RRH）和集中式基頻處理單元叢集(BBU pool)之間是有限通道容量的雲端無線電接取網絡（CRAN），整體架構包含了集中式基頻處理單元叢集(BBU pool)，全雙工射頻拉遠單元（RRH）和一組半雙工下行和上行移動用戶。 與半雙工射頻拉遠單元（RRH）模式相比，在該信號模型中，我們必須管理新的干擾源（自干擾以及上行鏈路到下行鏈路干擾），因此本論文使用發射（RRH） - 接收（BBU）波束成型和功率控制來管理新的干擾源。
    我們的目標是在給定信號與干擾加雜訊比(SINR)和最大通道容量的限制條件下，計算出有限通道容量的全雙工雲端無線電接取網絡（FD-CRAN）的功率最小化問題。 因此，本論文提出了交替優化（AO）和上行下行鏈路對偶(Uplink-Downlink Duality)的演算法來計算出最小的功率。 模擬結果顯示了本論文所提出的演算法效能。

    In this thesis, we consider the cloud radio acess network(CRAN) with finite fronthaul capacity architecture, which includes a centralized BBU pool, full-duplex remote radio heads(RRHs) and a set of half-duplex downlink and uplink mobile users. Compared to half duplex model, in this signal model, we have to manage new interference sources(self-interference, uplink to downlink interference), so the transmit (RRHs)-receive (BBU) beamforming and power control are used.
    Our target is to solve the power minimization problem of full duplex cloud radio acess network(FD-CRAN) with finite fronthaul capacity under SINR and fronthaul capacity constraints. Therefore, the alternating optimization(AO) and Uplink-Downlink Duality strategies are proposed. Simulation results are presented to evaluate the proposed algorithms.

    Contents 1 Introduction 1 2 System Model and Problem Formulation 4 2.1 Downlink Signal Model . . . . . . . . . . . . . . . 4 2.2 Uplink Signal Model . . . . . . . . . . . . . . . . 6 2.3 Problem Formulation . . . . . . . . . . . . . . . . 8 3 Background 9 3.1 Half duplex CRAN with fronthual constraints [1] 9 3.2 Solver based on Second-order cone program (SOCP) 11 3.3 Half duplex CRAN with in nite fronthual capacity 14 4 Proposed Algorithm 17 4.1 SOCP-based AO Algorithm . . . . . . . . . . . . 17 4.2 Uplink and Downlink Dulaity and Low-Complexity AO . . . . . . . . . . . . . . . . . . . . . . . . . . 24 5 Simulation and Analysis 33 5.1 Simulation Setting . . . . . . . . . . . . . . . . . 33 5.2 Simulation Results . . . . . . . . . . . . . . . . . 35 6 Conclusion 38

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