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研究生: 楊凡
Fan Yang
論文名稱: 雲端無線接取網路中基於Wyner-ziv 壓縮之上下行波束成型
On Uplink and Downlink Beamforming Design for Cloud Radio Access Network with Wyner-Ziv Fronthaul Compression
指導教授: 林士駿
Shih-Chun Lin
口試委員: 黃昱智
Yu-Chih Huang
張縱輝
Tsung-Hui Chang
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: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 34
中文關鍵詞: 波束成型前端壓縮上下行波束全雙工半雙工雲端無線接取
外文關鍵詞: beamforming, Wyner-Ziv, fronthaul compression, cloud radio access network, uplink, downlink
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在本文中,我們考慮在雲端無線接取網路使用有限的前端容量的情境中,包括集中式基頻數位處理和具備全雙工的分散式遠端無線接取點,以及半雙工的上行和下行使用者。在這種情況下,我們希望最小化上行的總功率消耗。由於自干擾和分散式遠端無線接取點間干擾,波束形成設計問題不是凸函數問題,所以我們使用次優的演算法,交替式最佳化,並基於這個演算法,提出了一種新的選擇初值得方式。進一步,我們於前端使用Wyner-Ziv壓縮技術,但是式使用在較簡單的情況下,也就是遠端無線接取點只具備半雙工而不是全雙工,並在這個情況下推導出使用者可達到的傳輸速率,並附上實驗結果。


In this thesis, we consider a cloud radio access network (CRAN) with finite frouthaul capacity, which includes a centralized baseband (BBU) pool and a set of full duplex (FD) remote radio heads (RRHs) serving a set of half duplex (HD) mobile users. In this situation, we want to minimize the total power of uplink and downlink. Due to the interference such as self-interference and inter-RRH interference, the beamforming design problem is not convex, so we use a suboptimal algorithm based on alternating optimization (AO), and propose a new algorithm by combining two methods to choose a initial variable for the algorithm of minimization problem. Further we consider a per-base-station SIC (successive interference cancellation) scheme that performs Wyner-Ziv compress-and-forward at RRHs, for simplicity, we use it in a half-duplex system model at RRH, and derive achievable rate for users under the finite fronthaul link. Finally, simulation results are presented to demonstrate both of the proposed algorithm and Wyner-Ziv compression.

Contents 1 Introduction 4 1.1 C-ran architecture . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2 Full-duplex c-ran and beamforming design . . . . . . . . . . . . . . . 4 1.3 Wyner-Ziv compression . . . . . . . . . . . . . . . . . . .. . . . . . 5 2 Full-duplex cran without Wyner-Ziv 6 2.1 Downlink signal model . . . . . . . . . . . . . . . . . . . .. . . . . 7 2.2 Uplink signal model . . . . . . . . . . . . . . . . . . . . .. . . . . 9 2.3 Problem formulation . . . . . . . . . . . . . . . . . . . . . . . . . 10 3 Half-duplex cran with Wyner-Ziv 14 3.1 Uplink signal model . . . . . . . . . . . . . . . . . . . . . . . . . 14 3.2 Downlink signal model . . . . . . . . . . . . . . . . . . . . . . . . 19 3.3 Problem formulation . . . . . . . . . . . . . . . . . . . . . . . . . 21 4 Conclusion 23 4.1 Simulation results for FD-cran without Wyner-Ziv . . . . . . . . . . 23 4.2 Simulation results for HD-cran with Wyner-Ziv . . . . . . . . . . . . 24 4.3 Future work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

References
[1] "C-RAN: The road towards green RAN," China Mobile Research Institute, Beijing, China, White Paper, ver. 3.0, Dec. 2013.
[2] Tsung-Hui Chang, Ya-Feng Liu, and Shih-Chun Lin. Qos-based linear transceiver optimization for full-duplex multiuser communications. IEEE Transactions on Signal Processing, 66:2300{2313, 2018.
[3] Veria Havary-Nassab, Shahram Shahbazpanahi, Ali Grami, and Zhi-Quan Luo. Distributed beamforming for relay networks based on second-order statistics of the channel state information. IEEE Trans. Signal Processing, 56(9):4306{4316, 2008.
[4] S.-Y. Kuo. "Uplink and Downlink Beamforming Design in Full-Duplex Cloud Radio Access Networks," MS Thesis NTUST 2017.
[5] Chi-Han Lee, Tsung-Hui Chang, and Shih-Chun Lin. Transmit-receive beamforming optimization for full-duplex cloud radio access networks. In Global Communications Conference (GLOBECOM), 2016 IEEE, pages 1{6. IEEE, 2016.
[6] Ashutosh Sabharwal, Philip Schniter, Dongning Guo, Daniel W Bliss, Sampath Rangarajan, and Risto Wichman. In-band full-duplex wireless: Challenges and opportunities. IEEE Journal on Selected Areas in Communications, 32(9):1637{1652, 2014.
[7] Shahram Shahbazpanahi, Alex B Gershman, Zhi-Quan Luo, and Kon Max Wong. Robust adaptive beamforming for general-rank signal models. IEEE Transactions on Signal Processing, 51(9):2257{2269, 2003.
[8] Hsuan-Jung Su and E. Geraniotis. Maximum signal-to-noise ratio array processing for space-time coded systems. IEEE Transactions on Communications, 50(9):1419{1422, Sep 2002.
[9] Zhengyi Ye. "Optimization of fronthaul compression based on the di erence of convex programming algorithm," MS Thesis NTUST 2016.
[10] L. Zhou and W. Yu. Uplink multicell processing with limited backhaul via per-base-station successive interference cancellation. IEEE Journal on Selected Areas in Communications, 31(10):1981{1993, October 2013.

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