臺灣博碩士論文加值系統

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 innite 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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