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  • 學位論文

基於弦距離之多使用者多輸入多輸出系統之用戶分群及波束選擇演算法

User Grouping and Beam Selection Algorithms for Multi-user MIMO Systems Based on Chordal Distance

指導教授 : 邱茂清
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摘要


隨著通訊技術的快速發展,4G系統已被廣泛的推廣,5G的時代也即將來臨,而在同一細胞、同一時間、頻率資源上,由數十個UE同時使用,是未來5G系統增加系統容量的關鍵設計。當基站天線數量隨主動式天線的發展而提升時,波束通道的技術能在基地台針對不同的方向形成固定的波束,以多個波束來處理使用者的訊號。而在上鍊波束通道模型下,當使用者數量提升以及波束數量龐大時,如對所有用戶及波束進行聯合檢測,所需之複雜度是極高的,因此我們嘗試設計一個低複雜度的演算法,希望能迅速的將合適的使用者進行分群,本篇論文我們提出的弦距離用戶分群及波束選擇演算法,是利用弦距離評估用戶間的正交性,以此作為分群的依據,模擬結果顯示利用此特性在環境相同的情況下,能有效增加系統和率。且與相關研究比較,能接近其所提供的成果,並擁有較低的計算複雜度。

並列摘要


With the rapid development of communication technologies, the 4th generation (4G) system has been widely deployed and the development of 5th generation (5G) system is ongoing. In the same cell, the use of dozens of UE at the same time and frequency resources is the key design for the 5G system to increase the system capacity. Beam channel technology can be used in the base station when the number of antennas is large. In this thesis, we consider fixed beams in different directions to handle the multi-user signals. For uplink systems, when the number of users is increased and the number of beams is large, the required complexity is high for user grouping and bean selection. In this thesis, we propose a low-complexity user grouping and beam selection algorithm based on chordal distance. The key ideas is to use chordal distance as a measure of orthogonality between different users. Simulation results show that the proposed low-complexity algorithm has throughput that is very close to that of the best known user grouping algorithm.

參考文獻


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