Jun 11, 2021 · We develop a base station centric approach for predicting the Signal-to-Noise-Ratio (SNR) of beams.
May 11, 2023 · We develop a network-centric approach for predicting beam Signal-to-Noise Ratio (SNR) from Channel State Information (CSI) features measured at the BS.
Jul 28, 2021 · We develop a base station centric approach for predicting the Signal-to-Noise-Ratio (SNR) of beams. Beam SNRs are predicted based on measured ...
Oct 1, 2023 · We develop a network- centric approach for predicting beam Signal-to-Noise Ratio (SNR) from Channel State Information (CSI) features measured ...
Based on CSI measure- ments at the BS towards a given beam, we predict the. SNR of using a different beam on the same BS or on a different BS. • We devise a CSI ...
We develop a network-centric approach for predicting beam Signal-to-Noise Ratio (SNR) from Channel State Information (CSI) features measured at the BS, which ...
Dec 27, 2022 · The proposed method is empirically assessed on a channel mapping task whose objective is to predict downlink channels from uplink channels.
Predicting this way the relative locations of users from channel measurements has many potential applications, ranging from SNR prediction [3] and pilot reuse [ ...
Dec 6, 2022 · The proposed method is empirically assessed on a channel mapping task whose objective is to predict downlink channels from uplink channels.
Missing: SNR | Show results with:SNR
Dec 12, 2021 · We devise a beam selection method in mmWave systems based on the relative location of User equipments (UEs) in a cell provided by Channel Charting (CC).