標題: | PASTd-based CSI Tracking in Massive MIMO Systems |
作者: | Yang, Wen-Kuang Shen, Chia-Min Sang, Tzu-Hsien 交大名義發表 National Chiao Tung University |
關鍵字: | Massive MIMO;channel estimation;channel trucking;subspace trucking;PASTd |
公開日期: | 1-一月-2018 |
摘要: | conventional semi-blind channel estimation schemes for MU-MIMO systems are based on eigenvalue decomposition (EVD) or singular value decomposition (SVD). However, EVD- or SVD-based channel estimation would impose a high computational complexity when the base station is equipped with large number antennas. Those methods are not well suited for real-time processing, especially for Channel State Information (CSI) tracking in time-varying environments. In order to reduce the computational complexity, a PASTd-based (Projection Approximation Subspace Tracking with deflation) CSI tracking algorithm is proposed. The PASTd-based algorithm converges fast, has low computational complexity, and can operate with very small training overhead. Simulation results show that the proposed algorithm can effectively track the CS[ with mild Doppler spreads. Only one pilot symbol per user at the beginning of transmission session is needed to resolve the multiplicative factor ambiguity. |
URI: | http://hdl.handle.net/11536/151066 |
ISSN: | 1546-1874 |
期刊: | 2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP) |
顯示於類別: | 會議論文 |