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Channel Estimation And Optimal Training Design For Correlated Mimo Two-Way Relay Systems In Colored Environment, Rui Wang, Meixia Tao, Hani Mehrpouyan, Yingbo Hua
Channel Estimation And Optimal Training Design For Correlated Mimo Two-Way Relay Systems In Colored Environment, Rui Wang, Meixia Tao, Hani Mehrpouyan, Yingbo Hua
Hani Mehrpouyan
In this paper, while considering the impact of the antenna correlation and the interference from neighboring users, we analyze channel estimation and training sequence design for multi-input multi-output (MIMO) two-way relay systems. To this end, we propose to decompose the bidirectional transmission links into two phases, i.e., the multiple access (MAC) phase and the broadcast (BC) phase. By considering the Kronecker-structured channel model, we derive the optimal linear minimum mean-square-error (LMMSE) channel estimators. The corresponding training designs for the MAC phase and the BC phase are then formulated and solved to improve channel estimation accuracy. For the general scenario of …
Channel Estimation And Optimal Training Design For Correlated Mimo Two-Way Relay Systems In Colored Environment, Rui Wang, Meixia Tao, Hani Mehrpouyan, Yingbo Hua
Channel Estimation And Optimal Training Design For Correlated Mimo Two-Way Relay Systems In Colored Environment, Rui Wang, Meixia Tao, Hani Mehrpouyan, Yingbo Hua
Electrical and Computer Engineering Faculty Publications and Presentations
In this paper, while considering the impact of antenna correlation and the interference from neighboring users, we analyze channel estimation and training sequence design for multi-input multi-output (MIMO) two-way relay (TWR) systems. To this end, we propose to decompose the bidirectional transmission links into two phases, i.e., the multiple access (MAC) phase and the broadcasting (BC) phase. By considering the Kronecker-structured channel model, we derive the optimal linear minimum mean-square-error (LMMSE) channel estimators. The corresponding training designs for the MAC and BC phases are then formulated and solved to improve channel estimation accuracy. For the general scenario of training sequence …