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研究生:呂建澔
研究生(外文):LU,CHIEN-HAO
論文名稱:應用於靈活雙工系統之波束協調跨鏈路干擾減輕技術研究
論文名稱(外文):Beam-Coordination Based Cross Link Interference Mitigation for Flexible Duplexing Systems
指導教授:沈文和
指導教授(外文):SHEN,WEN-HE
口試委員:饒敬國、潘仁義
口試委員(外文):JAO,CHING-KUO、PAN,JEN-YI
口試日期:2018-07-30
學位類別:碩士
校院名稱:國立中正大學
系所名稱:通訊工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:43
中文關鍵詞:動態分時多工、基地台對基地台跨鏈路干擾、TRP分群、波束協調、群組中最大TRP數量
外文關鍵詞:Dynamic TDD、TRP-to-TRP cross link interference、TRP grouping、Beam coordination、Maximum TRP number of the group
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在動態分時雙工(dynamic time-division duplexing)的系統架構下,基地台可依據上下鏈(downlink, uplink)的話務量(traffic)決定傳輸的方向以提升頻譜的使用率。但當基地台間的傳輸方向不同時,就會發生跨鏈路(cross link)的干擾。跨鏈路的干擾分為下行傳輸基地台對上行接收基地台的干擾以及上行傳輸的使用者對下行接收的使用者的干擾兩種。本篇論文旨針對基地台對基地台的跨鏈路干擾的減輕做研究。
跨鏈路的干擾減輕的方法有許多種,有功率控制(power control)、混合型分時多工(hybrid TDD)、波束協調(beam coordination)、排程協調(scheduling coordination)等許多方法,本論文針對波束協調進行研究。
本論文的研究在ITRI系統層模擬平台上以UMA為場景的模型,進行波束協調的研究。在波束協調中,需要先決定哪些基地台需要彼此協調以減輕跨鏈路的干擾,所以本論文提出一種TRP(transmit receive point)分群的方法,並觀察在不同群組最大TRP數時所能改善的系統通訊品質。增加群組最大TRP數改善的效果就越好,但須要在系統波束協調的複雜度及協調的時間延遲上做取捨。而分群之後,群組中的TRP做波束協調也需要經過設計,本論文針對波束協調提出了兩種波束協調的方法,先用事先建立的波束對波束的干擾表快速選擇出要使用的波束,再以公平式比例排程從選到的波數中選擇要服務的使用者,降低公平式比例排程選擇使用者所要花費的時間,讓波束協調的波束選擇更有效率。兩種方法選擇到的波束,有約41%是相同的波束,有約38%是相鄰的波束,而方法一比方法二的頻譜使用效率低約2%,但方法一的好處是只需要從要使用的波束下選出要服務的使用者,比方法二所需要花費的時間及複雜度能大幅減少。從模擬結果可以看到波束協調能有效的改善跨鏈路干擾,使用本論文的TRP分群方法及波束協調的方法,訊號干擾雜訊比改善了約20dB。再藉由更換群組中的主導TRP(anchor TRP)並觀察TRP的頻譜使用效率,可以看出主導TRP在群組中會有較好的頻譜使用效率,主導TRP會有約2倍於排程優先度最低的TRP的頻譜使用效率。所以群組中的TRP應該要輪流作為主導TRP會較為公平。

In the dynamic time-division duplexing system architecture, the base station can determine the direction of transmission according to the traffic of the downlink /uplink to improve the spectral efficiency. However, when the transmission directions between the base stations are different, cross link interference occurs. Cross link interference is divided into two types: interference of the downlink transmission base station to the uplink receiving base station and interference of the user of the uplink transmission to the user of the downlink reception. This paper aims to study the reduction of cross-link interference from base stations to base stations.
There are many methods for mitigating interference across links, including power control, hybrid TDD, beam coordination, scheduling coordination. The paper studies the method of beam coordination.
The research of this thesis studies the beam coordination on the ITRI system level simulation platform with UMA (urban macro) as the scene model. In the beam coordination, it is necessary to decide which TRP needs to coordinate with each other to mitigate cross link interference. Therefore, this paper proposes a method of TRP grouping and observes the system communication quality that can be improved when the maximum TRP number of different groups is improved. The better the effect of increasing the maximum TRP number of the group, but the trade-off between the complexity of the system beam coordination and the coordinated time delay. After grouping, the TRP in the group needs to be designed for beam coordination. This paper proposes two methods of beam coordination for beam coordination. First, use the beam-to-beam interference table established in advance to quickly select the beam to be used. Then, the proportional fair scheduling is used to select the users to be served from the selected wave numbers, and the time required for the proportional fair scheduling to select the users is reduced, so that the beam-coordinated beam selection is more efficient. The beam selected by the two methods has about 41% of the same beam, about 38% is the adjacent beam, and the method 1 is lower than the spectrum efficiency of the method 2 by about 2%, but the advantage of the first method is that time and complexity required to select a service to be served from the beam to be used can be significantly reduced. From the simulation results, it can be seen that beam coordination can effectively improve cross link interference. Using the TRP grouping method and beam coordination method of this paper, the signal interference noise ratio is improved by about 20dB. By replacing the anchor TRP in the group and observing the spectral efficiency of the TRP, it can be seen that the anchor TRP will have better spectral efficiency in the group, and the anchor TRP will be about 2 times better than the low priority TRP. Therefore, it is fairer for the TRP in the group to take turns as the anchor TRP.

目錄
摘要 I
Abstract III
目錄 V
圖目錄 VII
表目錄 VIII
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 1
1.3 論文架構 3
第二章 波束協調相關研究 4
2.1 波束協調技術之概念 4
2.2 TRP波束協調法 6
2.2.1分散式公平優先度波束協調法 6
2.2.2分散式偏差優先度波束協調法 7
2.2.3侵略TRP調整干擾波束協調法 7
2.2.4受害TRP調整干擾波束協調法 8
第三章 系統架構 9
3.1 系統介紹 9
3.2 Urban Macro場景介紹 9
3.3 天線架構 11
3.4 天線埠與傳送接收元件虛擬化 12
3.5 空間通道模型產生程序 13
3.6 波束通道選擇 15
第四章 波束協調之技術 16
4.1 TRP間波束干擾量測 16
4.3 TRP群組間的波束協調 22
4.3.1 基地台的分時多工傳輸方向配置 22
4.3.2 TRP波束選擇 23
4.3.3 群組中TRP波束協調 23
4.4 TRP波束協調之波束選擇 25
4.4.1 最小干擾波束選擇法 25
4.4.2 比例式公平排程 26
4.4.3 PF-based最高優先權用戶波束選擇法 27
第五章 波束協調效能評估 28
5.1 SLS模擬平台及系統參數設定 28
5.2 TRP分群 31
5.3 模擬結果及分析 35
第六章 總結 41
參考文獻 42


參考文獻
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[4]CEWiT, “CLI measurement for UE-to-UE and TRP-to-TRP links” 3GPP Meeting #90 R1-1714510, Aug. 2017.
[5]NTT DOCOMO, “Discussion on cross-link interference mitigation for duplexing flexibility” 3GPP Meeting #90 R1-1713969, Aug. 2017.
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[8]Huawei, HiSilicon , “TRP-to-TRP measurement for cross-link interference mitigation,” 3GPP Meeting#90 R1-1712179, Aug.2017.
[9]Samsung , “Cross-link interference management based on coordinated beamforming,” 3GPP Meeting NR#3 R1-1716036, September., 2017.
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