本計畫將研究應用於高車速LTE SC-FDMA 系統之通道估計、通道等化及用戶排程研究，目標是改善第四代行動通訊系統之高車速用戶上鏈傳輸吞吐量與可靠度。高車速時變通道會嚴重破壞SC-FDMA 載波正交性，造成次載波間干擾與用戶間干擾，因此通道估計與通道等化為改善通訊服務品質之首要議題。再者，在高車速環境下用戶排程會造成不同程度之干擾影響通道等化器效能，因此聯合設計通道等化器與用戶排程器為改善系統效能之另一重要議題。在此，我們將針對多用戶於高車速環境下設計通道估計、通道等化及用戶排程方法，同時延伸設計至虛擬多輸入多輸出系統以增加頻寬效率，利用多天線接收訊號處理技術來克服虛擬用戶間干擾問題與達到空頻機會式排程。本計畫之預期成果為提出基礎系統模型、通道估計、通道等化與用戶排程等演算法以有效管理與消除干擾，我們將藉由理論分析與電腦模擬來評估整體系統效能。 The goal of this project will be focused on designing channel estimation, channel equalization, and user scheduling issues for future mobile LTE SC-FDMA applications. The overall objective is to improve the throughput and reliability of mobile users for uplink transmission in future fourth-generation cellular systems by tackling the following two important issues. The time-varying channels will dramatically destroy the orthogonality of subcarriers in SC-FDMA systems, leading to inter-carrier interference as well as multi-user interference. Hence, channel estimation and channel equalization are important issues for the success of providing mobile wireless communication services. On the other hand, the user scheduling, which is the second critical issue in high-mobility environments, will cause different extent of inter-carrier interference and multi-user interference to affect the performance of channel equalization. To overcome this, we will jointly consider channel equalization and user scheduling to optimize the system performance. Meanwhile, we are going to extend these design issues to virtual multiple-input multiple output systems to increase spectral efficiency. The multi-antenna signal processing techniques will be utilized to overcome the virtual antenna interference and to achieve spatial-frequency opportunistic scheduling. The outcomes of this project will be the basic system models, channel estimation, channel equalization as well as user scheduling algorithms for interference mitigation and management, and theoretical analysis and computer simulation will be conducted to evaluate the overall system performance. 研究期間：10001 ~ 10010
