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  • 學位論文

全雙工中繼站之干擾管理研究

Study on Full-Duplex Relay Network with Interference Management

指導教授 : 張進福

摘要


全雙工(Full-Duplex, FD)傳輸是一項可以改善頻帶使用效率(Spectral efficiency)的重要技術,與傳統的半雙工(Half-Duplex, HD)相較,全雙工可以讓端點(node)在同個頻帶上同時進行傳輸與接收,因此能大幅提升頻譜的使用效率。然而,由於端點同時進行傳輸與接收,因此端點的接收訊號會受到自己本身的傳輸訊號干擾,稱作自我干擾(Self-interference),這是使用全雙工傳輸的最需要克服的問題。本論文中,主要致力於全雙工傳輸在中繼站(Relay)上的應用,首先在兩個端點經由中繼站全雙工單向傳輸的情況下,假設中繼站傳輸沒有處理延遲(Processing Delay) ,對中繼器的預編碼矩陣(Precoding Matrix)與組合矩陣(Combining Matrix)進行設計,消除全雙工中繼站自我干擾的影響,進而使整個系統的通道容量(Channel Capacity)最大化,接著我們將系統的兩個端點的傳輸從半雙工的模式轉換成全雙工的模式,讓兩個端點同時進行雙向的傳輸,並將中繼站的處理延遲加入問題的研究中,設計中繼站的預編碼矩陣與組合矩陣,在抑制自我干擾的情況下,最佳化整個系統的總和速率(Sum-Rate),最後會比較系統使用全雙工模式與半雙工模式傳輸之間的差異。

並列摘要


Full-Duplex transmission is an important technology to improve spectral efficiency. By contrast with traditional half-duplex transmission, Full-Duplex allows node to transmit and receive simultaneously on the same frequency bands. It can significantly improve the spectral efficiency. However, due to the simultaneous transmission and reception, it will result in self-interference from the transmitter to the receiver. Thus the key to full-duplex transmission is first to resolve issues arising from self-interference. In this thesis, we study full-duplex transmission applied particularly on the relay. We first consider one way transmission, and assume that there is no processing delay in relay’s transmission. In this regard design the combining matrix and precoding matrix to maximize the channel capacity of full-duplex relay channel. We then consider two-way relay channels, and also take the processing delay into account. In this system with self-interference suppressed the maximum sum rate is analyzed. Finally we will compare full-duplex relay networks with half duplex ones.

參考文獻


Security in the Full-Duplex Relay System” IEEE Transactions on Information Forensics and Security, 2015
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[5] Riihonen, T. Werner, S. Wichman, R. “Mitigation of Loopback Self-Interference in Full-Duplex MIMO Relays” IEEE Transactions on Signal Processing, IEEE Transactions on. 2011
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