Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/150375
Title: Nonorthogonal Time&x2013;Frequency Training-Sequence-Based CSI Acquisition for MIMO Systems
Authors: Wenbo Ding;Fang Yang;Sicong Liu;Xianbin Wang;Jian Song
subject: nonorthogonal time–frequency training sequence (TS)|spatial–temporal correlations|Channel state information (CSI) acquisition|multiple-input multiple-output (MIMO)|structured compressed sensing (SCS)
Year: 2016
Publisher: IEEE
Abstract: In this paper, a spectrally efficient nonorthogonal time-frequency training sequence (TS)-based channel state information (CSI) acquisition approach is proposed for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems under the framework of structured compressed sensing (SCS). The scheme first relies on a time-domain TS that is identical for all transmit antennas to acquire the partial channel common support by utilizing the spatial correlation property of the MIMO channels and then uses the frequency-domain TS for accurate CSI recovery based on the proposed adaptive spatially-temporally joint simultaneous orthogonal matching pursuit algorithm. Here, the obtained partial channel common support can be utilized to reduce the complexity of the classical SCS algorithm and improve the signal recovery probability. Simulation results show that the proposed scheme could significantly reduce the TS overhead and demonstrate better performance than the existing MIMO-OFDM systems, which might be suitable for massive MIMO systems in future fifth-generation communications.
URI: http://localhost/handle/Hannan/150375
ISSN: 0018-9545
1939-9359
volume: 65
issue: 7
More Information: 5714
5719
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7175052.pdf1.19 MBAdobe PDFThumbnail
Preview File
Title: Nonorthogonal Time&x2013;Frequency Training-Sequence-Based CSI Acquisition for MIMO Systems
Authors: Wenbo Ding;Fang Yang;Sicong Liu;Xianbin Wang;Jian Song
subject: nonorthogonal time–frequency training sequence (TS)|spatial–temporal correlations|Channel state information (CSI) acquisition|multiple-input multiple-output (MIMO)|structured compressed sensing (SCS)
Year: 2016
Publisher: IEEE
Abstract: In this paper, a spectrally efficient nonorthogonal time-frequency training sequence (TS)-based channel state information (CSI) acquisition approach is proposed for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems under the framework of structured compressed sensing (SCS). The scheme first relies on a time-domain TS that is identical for all transmit antennas to acquire the partial channel common support by utilizing the spatial correlation property of the MIMO channels and then uses the frequency-domain TS for accurate CSI recovery based on the proposed adaptive spatially-temporally joint simultaneous orthogonal matching pursuit algorithm. Here, the obtained partial channel common support can be utilized to reduce the complexity of the classical SCS algorithm and improve the signal recovery probability. Simulation results show that the proposed scheme could significantly reduce the TS overhead and demonstrate better performance than the existing MIMO-OFDM systems, which might be suitable for massive MIMO systems in future fifth-generation communications.
URI: http://localhost/handle/Hannan/150375
ISSN: 0018-9545
1939-9359
volume: 65
issue: 7
More Information: 5714
5719
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7175052.pdf1.19 MBAdobe PDFThumbnail
Preview File
Title: Nonorthogonal Time&x2013;Frequency Training-Sequence-Based CSI Acquisition for MIMO Systems
Authors: Wenbo Ding;Fang Yang;Sicong Liu;Xianbin Wang;Jian Song
subject: nonorthogonal time–frequency training sequence (TS)|spatial–temporal correlations|Channel state information (CSI) acquisition|multiple-input multiple-output (MIMO)|structured compressed sensing (SCS)
Year: 2016
Publisher: IEEE
Abstract: In this paper, a spectrally efficient nonorthogonal time-frequency training sequence (TS)-based channel state information (CSI) acquisition approach is proposed for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems under the framework of structured compressed sensing (SCS). The scheme first relies on a time-domain TS that is identical for all transmit antennas to acquire the partial channel common support by utilizing the spatial correlation property of the MIMO channels and then uses the frequency-domain TS for accurate CSI recovery based on the proposed adaptive spatially-temporally joint simultaneous orthogonal matching pursuit algorithm. Here, the obtained partial channel common support can be utilized to reduce the complexity of the classical SCS algorithm and improve the signal recovery probability. Simulation results show that the proposed scheme could significantly reduce the TS overhead and demonstrate better performance than the existing MIMO-OFDM systems, which might be suitable for massive MIMO systems in future fifth-generation communications.
URI: http://localhost/handle/Hannan/150375
ISSN: 0018-9545
1939-9359
volume: 65
issue: 7
More Information: 5714
5719
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7175052.pdf1.19 MBAdobe PDFThumbnail
Preview File