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研究生:張宇慶
研究生(外文):Yu-ChingChang
論文名稱:有效通道響應傳遞方法比較之合作式通訊系統
論文名稱(外文):Cooperative Systems With Comparing Effective Channel State Information (CSI) Reduction
指導教授:張名先
指導教授(外文):Ming-Xian Chang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:電腦與通信工程研究所
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:2020
畢業學年度:108
語文別:中文
論文頁數:50
中文關鍵詞:合作式通訊通道資訊最小平方差壓縮高斯量化Karhunen-Loève Expansion(KLE)
外文關鍵詞:cooperative communication systemchannel state information (CSI)least square fittingcompressionGaussian quantizationKarhunen-Loève expansion
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在任何無線通訊領域中,訊號會受到雜訊、多路徑干擾和衰減效應的影響,合作式通訊利用透過鄰近節點作為中繼端將收到的訊號經過處理後轉傳給接收端,以補強點對點的傳輸可能受到通到衰減的影響,相比於MIMO在通訊設備中容納多跟天線,合作式通訊依靠中繼端的幫助達成空間上的多樣性。本論文採用中繼協定中的解碼後傳送作為資料轉傳的技術,並且搭配通道資訊及接收端使用不同多樣性結合的方式(例如: Selection Combining, Maximum Ratio Combining),也提出類似典型結合的演算法降低錯誤率改善系統效能。
為了更有效率的傳送通到資訊,我們基於Karhunen-Loève Expnsion (KLE) 的概念提出回傳有效通道響應的估測值至傳送端的方法,並且利用高斯量化、RLS方法,減少通道係數傳遞的負載及誤差。
In the field of wireless communication, the signal will be affected by noise, multipath interference and fading effects. Through the neighbor nodes, the transmitted signal can be relayed to the destination. Cooperative communications can reinforce the point-to-point transmission channel. Compared with the Multiple-Input Multiple-Output(MIMO), cooperative communication relies on the help of the relay points to implement spatial diversity. To improve the performance of bit-error rate, this thesis applies decode and forward to send the signal to destination. With the channel state information (CSI) at receiver, we propose combining techniques and give the comparison with the traditional diversity combining like Selection Combining (SC) and Maximum Ratio Combining (MRC).
In order to efficiently forward the CSI, we propose an efficient method that forward the estimated channel responses (CRs) to the receiver based on the Karhunen-Loève Expansion(KLE), and then, we use Gaussian quantization and Recursive Least Squares (RLS) to reduce the load and the error of channel coefficient transmission.
目錄
摘要 I
Abstract II
目錄 VIII
表目錄 X
圖目錄 XI
第一章 緒論 1
第二章 合作式通訊 3
2.1 通道模型 3
2.1.1 多路徑模型(Multipath model) 3
2.1.2 Jake’s Rayleigh fading 模型 3
2.2合作式OFDM系統 5
2.3 中繼協議(Relaying Protocols) 8
第三章 分集合併(Diversity Combining) 11
3.1 分集合併背景介紹 11
3.2 選擇性合併(Selection Combining) (SC) 11
3.3 最大比率合併(Maximum Ratio Combining) (MRC) 16
3.4 模擬結果 19
第四章 減少通道狀態資訊(Channel State Information Reduction) 21
4.1 介紹 21
4.2參數化的一般多項式(Parameterization-Polynomial) 22
4.3隨機向量的KLE (Karhunen-Loève Expansion) 24
4.4 OFDM系統中通道響應的KLE (Karhunen-Loève Expansion) 25
4.4.1 訊號模型 25
4.4.2 沿著子通道(Along sub-channels) — Type A 27
4.4.3 沿著time slots(Along time slots) — Type B 29
第五章 有效率的CSI反饋演算法(Efficient CSI feedback algorithms) 32
5.1 介紹 32
5.2 高斯量化(Gaussian Quantization) 32
5.3 正規化係數的變異數(Normalize coefficient’s variance) 36
5.4 基於RLS的量化演算法 38
5.5 傳遞通道響應係數絕對值 39
5.6 傳送負載(Forward loads) 40
5.7 模擬結果 40
第六章 結論 48
參考文獻 49
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[18]Channel State Information (CSI) Reduction in Frequency and Time Domain for Close-loop MIMO-OFDM Systems.
[19] Hoang Le Nam, “On The Performance Of Two-Way Amplify-And-Forward Relay Networks
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