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    Please use this identifier to cite or link to this item: http://ccur.lib.ccu.edu.tw/handle/A095B0000Q/796


    Title: 波束分群5G上鏈系統之多用戶檢測技術設計;On the Design of Uplink Multi-user Detection for Beam-group Division 5G Systems
    Authors: 吳偉銓;WU, WEI-CYUAN
    Contributors: 通訊工程研究所
    Keywords: 5G系統;通道稀疏性;用戶分群;多用戶檢測機;5G system;channel sparse;user-grouping;multi-user detector
    Date: 2017
    Issue Date: 2019-07-17 10:47:53 (UTC+8)
    Publisher: 通訊工程研究所
    Abstract: 為了達到5G系統高傳輸率及高系統容量的需求,5G系統將採用高頻段的無線資源和巨量天線陣列。當基地台使用巨量天線同時服務大量的用戶,由於天線域(antenna domain)的通道呈現高度頻率選擇性,會使系統效能大幅減低。此外為了獲得通道資訊,系統亦必須大量的進行通道估測。由於波束域(beam domain)訊號處理具有解決通道的頻率選擇性,並且能夠利用高頻段的通道稀疏特性,以有效降低用戶通道估測的系統複雜度,因此非常適用於5G系統。此外5G系統若採用高階MU-MIMO(multi-user multiple input multiple output)技術,系統的複雜度異常龐大。為了解決複雜度的問題,本論文提出一個新的波束分群5G系統(beam-group division 5G System),本系統的優點主要是藉由將干擾嚴重的用戶形成同一用戶群進行檢測,來提升系統效能並更進一步降低系統的複雜度。本篇論文主要研究波束分群5G系統上行鏈路的多用戶檢測技術。首先提出利用通道稀疏性及最小均方誤差(minimum mean-squared error, MMSE)為準則設計的檢測器,來降低用戶通道估測和多用戶檢測的系統複雜度。其次,提出利用用戶通道正交的特性對用戶進行選擇,此舉能提升系統效能。最後,提出一用戶分群方法在結合上述兩種設計後,能在提升系統的效能下更進一步降低系統的複雜度。本篇論文經過模擬後,證實所提出的檢測器在系統效能只損失2.7%的情況下,能夠降低61%的計算複雜度。此外使用所提出的用戶選擇方法,系統能提升25%的效能。最後,在配合所提出的用戶分群方法後能讓系統效能在提升12%情況下,系統計算複雜度能進一步降低64%。
    In order to gain high transmission rate and system capacity in the future 5G systems, 5G systems will use high-frequency radio resource and massive antenna arrays. When base station uses massive antennas to serve a lot of users simultaneously, the performance of the system will be degraded due to a high frequency selectivity for channels on antenna domain. In addition, huge complexity on channel estimation is inevitable because the larger the number of channel is, the higher the computation complexity. Recently, the beam domain signal processing, has been proposed to reduce the frequency selectivity and complexity of channel estimation by utilizing the channel spasity characteristics of high-frequency bands. In addition, the complexity of high-order MU-MIMO is very high if it is employed to increase system capacity. To solve these problems, we proposed a new beam-group division 5G System. The concept of this system is to group the users with serious interference to a user-group for detection to improve the performance and to reduce the complexity of the system.This paper investigates the issue of multi-user detection of the uplink beam-group division 5G system. First, a detector is proposed based on channel sparse characteristics and minimum mean square error (MMSE) criterion to reduce the complexity of user channel estimation and multi-user detection. Second, a user selection method is proposed based on channel orthogonality to improve system performance. Finally, a new user-grouping method in combination with the above two methods is proposed to further reduce the system complexity and improve system performance .Our numerical results show that first the proposed detector can reduce the computation complexity by 61% only with 2.7% degradation on system performance. Second, by using the proposed user selection rule, the system can increase the performance 25%. Finally, the proposed user-grouping algorithm along the above two methods can reduce overall computation complexity by 64% and increase system performance 12%.
    Appears in Collections:[通訊工程研究所] 學位論文

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