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標題: | 具有有限回程鏈路的兩層式異質性細胞網路與動態分時雙工小細胞網路的干擾抑制 Interference Mitigation for Two-Tier Heterogeneous Cellular Network and Dynamic TDD Small Cell Network via Limited Backhaul Cooperation |
作者: | Yuan-Shuo Chang 張原碩 |
指導教授: | 王奕翔 |
關鍵字: | 干擾抑制,干擾消除,干擾對齊,逆雙工,動態分時雙工,異質性網路,有限回程鍊路,點陣碼,小型基地台, interference mitigation,interference cancellation,interference alignment,reverse duplex,dynamic time-division duplex,heterogeneous network,limited backhaul,lattice code,small cell, |
出版年 : | 2016 |
學位: | 碩士 |
摘要: | 在本論文中,主要提出了干擾抑制的方法,而此方法能使兩層式異質性細胞網路與動態分時雙工小細胞網路的整體系統效能能夠有所提升。
在此兩種情境下,細胞間的干擾是影響系統效能的主要因素,也是本論文致力解決的問題。 而考量到用戶裝置的複雜度限制,我們認為處理基地台間的干擾在現實中較為可行。 因此在兩層式異質性細胞網路中,我們使用相反的雙工傳輸來產生基地台間的干擾,也就是說,大型細胞與所有小型細胞使用相反的傳輸模式。 而這便會產生等效的一對多干擾網路與多對一干擾網路。 在一對多干擾網路中,我們主要延伸了 Jovicic 和 Viswanath [1] 的結果並求得近似的通道容量,其中主要的技術是來自 Han 和 Kobayashi [2]。 而在多對一干擾網路中,我們主要延伸了 Bresler 和 Tse [3] 的結果並求得近似的通道容量,並且透過 Erez 和 Zamir [4] 的結果改善了傳輸速率。 除此之外,在上述兩種網路中,我們也得出了在大型基地台與小型基地台間如果存在有限回程鍊路的情況下的近似通道容量。 我們也能將上述的方法應用在動態分時雙工小細胞網路中,因為在此種網路中很自然地會產生基地台間的干擾。 一般來說,這些基地台間的干擾會產生等效的多對多干擾網路,而我們能將其拆解為一對多與多對一干擾網路來處理。 最後我們將上述兩種情境的干擾抑制結果與傳統的傳輸機制做比較。 在干擾或整體系統傳輸能量較強的情況下,我們所提出的干擾緩解方案能有效地提升整體系統效能。 In this thesis, we propose interference mitigation schemes to improve the overall system throughput of two-tier heterogeneous cellular networks (HCN) and dynamic time-division duplex (TDD) small cell networks (SCN). In the above two scenarios, inter-cell interference is the major barrier against improving system throughput and the problem that we aim to solve. Considering the complexity of user equipment (UE), it is more feasible in practice to deal with the interference across base stations (BSs). Therefore, we use reverse duplex transmission to create the BS-BS interferences in two-tier HCN, i.e., macro cell and all of small cell use opposite duplex modes. Our focus is then on the capacity characterization of the induced equivalent one-to-many interference networks (IN) and many-to-one interference networks. In one-to-many IN, we mainly extend the results by Jovicic and Viswanath [1] and obtain approximate capacity region. The main technique is inspired by Han and Kobayashi [2]. In many-to-one IN, we mainly extend the results by Bresler and Tse [3] and obtain the approximate capacity region. Then, we improve data rates via the results by Erez and Zamir [4]. In addition, if there exists limited backhaul between macro base station (MBS) and small base station (SBS), we also obtain the approximate capacity region of above two INs. We can also apply the above results in dynamic TDD SCN since the interference across BSs can be generated naturally. In general, interferences across BSs induce equivalent many-to-many IN which can be decomposed into one-to-many and many-to-one IN. Finally, we compare our proposed scheme with the conventional scheme. When interference or overall system transmitting power are stronger, proposed scheme can increase the overall system throughput significantly. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60143 |
DOI: | 10.6342/NTU201603720 |
全文授權: | 有償授權 |
顯示於系所單位: | 電信工程學研究所 |
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