Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems
In this Letter, a compressed channel estimation approach referred to as burst weighted ℓ1‐minimisation is proposed to alleviate the overwhelming pilot overhead in the downlink path of frequency division duplex (FDD) massive MIMO systems. The proposed approach exploits the burst‐sparse property of ch...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-04-01
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| Series: | Electronics Letters |
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| Online Access: | https://doi.org/10.1049/el.2018.8114 |
| _version_ | 1818833774468661248 |
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| author | M. J. Azizipour K. Mohamed‐Pour |
| author_facet | M. J. Azizipour K. Mohamed‐Pour |
| author_sort | M. J. Azizipour |
| collection | DOAJ |
| description | In this Letter, a compressed channel estimation approach referred to as burst weighted ℓ1‐minimisation is proposed to alleviate the overwhelming pilot overhead in the downlink path of frequency division duplex (FDD) massive MIMO systems. The proposed approach exploits the burst‐sparse property of channel as the prior support information (PSI) and sets adaptive weights for the channel coefficients according to the accuracy of PSI values. Furthermore, a novel greedy algorithm is elaborated, which extracts PSI from the massive MIMO channel. Simulation results demonstrate that the proposed algorithm outperforms other solutions in terms of the channel state information (CSI) estimation error. |
| first_indexed | 2024-12-19T02:24:16Z |
| format | Article |
| id | doaj.art-e23f75f7f17f47228b0622990332f642 |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-12-19T02:24:16Z |
| publishDate | 2019-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-e23f75f7f17f47228b0622990332f6422022-12-21T20:40:01ZengWileyElectronics Letters0013-51941350-911X2019-04-0155848949110.1049/el.2018.8114Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systemsM. J. Azizipour0K. Mohamed‐Pour1Faculty of Electrical EngineeringK. N. Toosi University of TechnologyTehranIranFaculty of Electrical EngineeringK. N. Toosi University of TechnologyTehranIranIn this Letter, a compressed channel estimation approach referred to as burst weighted ℓ1‐minimisation is proposed to alleviate the overwhelming pilot overhead in the downlink path of frequency division duplex (FDD) massive MIMO systems. The proposed approach exploits the burst‐sparse property of channel as the prior support information (PSI) and sets adaptive weights for the channel coefficients according to the accuracy of PSI values. Furthermore, a novel greedy algorithm is elaborated, which extracts PSI from the massive MIMO channel. Simulation results demonstrate that the proposed algorithm outperforms other solutions in terms of the channel state information (CSI) estimation error.https://doi.org/10.1049/el.2018.8114burst‐sparse propertyprior support informationPSImassive MIMO channelchannel state information estimation errorcompressed downlink channel acquisition |
| spellingShingle | M. J. Azizipour K. Mohamed‐Pour Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems Electronics Letters burst‐sparse property prior support information PSI massive MIMO channel channel state information estimation error compressed downlink channel acquisition |
| title | Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems |
| title_full | Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems |
| title_fullStr | Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems |
| title_full_unstemmed | Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems |
| title_short | Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems |
| title_sort | compressed downlink channel acquisition based on burst support information in large scale mimo systems |
| topic | burst‐sparse property prior support information PSI massive MIMO channel channel state information estimation error compressed downlink channel acquisition |
| url | https://doi.org/10.1049/el.2018.8114 |
| work_keys_str_mv | AT mjazizipour compresseddownlinkchannelacquisitionbasedonburstsupportinformationinlargescalemimosystems AT kmohamedpour compresseddownlinkchannelacquisitionbasedonburstsupportinformationinlargescalemimosystems |