A5071430184- Antenna Design and Analysis
- Advanced MIMO Systems Optimization
- Speech and Audio Processing
- Underwater Vehicles and Communication Systems
- Millimeter-Wave Propagation and Modeling
- Antenna Design and Optimization
- Indoor and Outdoor Localization Technologies
Extremely large-scale massive MIMO (XL-MIMO) has been reviewed as a promising technology for future wireless communications. The deployment of XL-MIMO, especially at high-frequency bands, leads to users being located in the near-field region instead conventional far-field. This letter proposes efficient model-based deep learning algorithms estimating channel XL-MIMO In particular, we first formulate estimation task compressed sensing problem using spatial gridding-based sparsifying...
In 6G networks, applying native AI/ML techniques to user signal quality data obtain high-precision location estimation is a typical application scenario. Recent advanced using global positioning system (GPS) and traditional received strength-based localization approaches are model-based. However, their accuracy decreases under the influence of non-line-of-sight (NLoS) reception multipath fading channel, which leads demand for data-oriented strength indicator (RSSI) obtained from surrounding...
Extremely large-scale massive MIMO (XL-MIMO) has been reviewed as a promising technology for future wireless communications. The deployment of XL-MIMO, especially at high-frequency bands, leads to users being located in the near-field region instead conventional far-field. This letter proposes efficient model-based deep learning algorithms estimating channel XL-MIMO In particular, we first formulate estimation task compressed sensing problem using spatial gridding-based sparsifying...