Pilot Design for Training-based Channel Estimation in MU-MIMO Relay Communication

碩士 === 國立中央大學 === 通訊工程學系 === 105 === Multi-user multiple-input multiple-output ( MU-MIMO ) technology by combining the terminal equipment to achieve the base station can use the maximum available bandwidth at the same time service terminal user group, solving the problem of time-frequency resources...

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Bibliographic Details
Main Authors: Lin Hao, 林昊
Other Authors: Jia-Chin LIn
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/fu36kf
Description
Summary:碩士 === 國立中央大學 === 通訊工程學系 === 105 === Multi-user multiple-input multiple-output ( MU-MIMO ) technology by combining the terminal equipment to achieve the base station can use the maximum available bandwidth at the same time service terminal user group, solving the problem of time-frequency resources in single-user MIMO system. Speeding data rates while also ensuring better network coverage. In a fading channel with a long distance, the relay acts as a means of storing and transferring information from the source to the destination in the wireless communication system. Therefore, for multi-user terminal transmission systems with a wide range of distances such as enterprise networks, the best communication between the base station and the user terminal can be achieved by setting a plurality of different trunks. However, when the channel estimation is carried out, the complexity of the channel estimation is increased by improving the channel quality by multi-relay due to the process of inverting the covariance matrix of the channel. Therefore, this paper presents a design based on MU-MIMO relay system uplink channel feedback mechanism, when multiple users share the same pilot sequence, according to the received CSI( channel state information ) to reduce reduce the complexity of the pilot design. The results show that the performance of proposed algorithm pilot design for training-based channel estimation approximate conventional pilot,but it improves the time-frequency resources and improves the system Spectrum utilization.