混合式類比與數位訊號檢測於巨量多輸入多輸出系統

Hybrid Analog and Digital Signal Detection for Massive MIMO Systems

梁孟崴(Meng-Wei Liang)

指導教授 ： 李彥文

國立暨南國際大學/科技學院/電機工程學系/碩士(2019年)

https://doi.org/10.6837/ncnu201900159

摘要

巨量多輸入多輸出(Massive MIMO)在第五代行動通訊技術(5G)中扮演了關鍵的角色，能夠提供高頻譜效率以及高資料傳輸率的研究於近幾年受到相當重視。巨量多輸入多輸出的構想為少量的使用者由基地台(Base Station)大量的天線提供服務。然而，即便使用如強制歸零偵測法(Zero-Forcing)、最小均方誤差偵測法(Minimum Mean Square Error)此類線性偵測法，基地台中大量的天線仍然會導致很高的運算複雜度。本篇提出一種由強制歸零偵測法與等增益合成(Equal Gain Combining)兩者結合的檢測方法，並且藉由巨量多輸入多輸出通訊通道的對角線優勢矩陣(Diagonally Dominant)特性，使用雅可比迭代法(Jacobi iterative method)、高斯-賽德爾迭代法(Gauss-Seidel iterative method)以及此兩種方法結合決策輔助(Decision-Aided)之方法。使用上述方法，能夠使運算複雜度降低的同時，也能保持一個良好的錯誤率表現。

關鍵字

巨量多輸入多輸出 ； 強制歸零偵測器 ； 等增益合成 ； 雅可比迭代法 ； 高斯-賽德爾迭代法 ； 決策輔助

並列摘要

Massive MIMO (multiple-input multiple-output) system is a key technology for the
fifth generation (5G) wireless communication systems, which can provide high spectral efficiency and data rate. The formulation of uplink multiuser massive MIMO system is that a small number of users is served by numerous antennas at the base station (BS). However, the large number of antennas at BS results in high complexity even with linear detection algorithms like zero-forcing (ZF) and minimum mean square error (MMSE). We present the ZF with equal gain combining (EGC) as our proposed detection method. By the diagonally dominant of communication channel, which is the property of massive MIMO, we detect the signal by Jacobi iterative method, Gauss-Seidel (GS) iterative method and the decision-aided (DA) approach for both iterative methods. By these methods, the complexity of the detection can be reduced, and the good error-rate performance can be kept at the same time.

並列關鍵字

Massive MIMO ； Zero-forcing ； Equal gain combing ； Jacobi iteration ； GaussSeidel iteration ； Decision-aided

參考文獻

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