4 citations · 6 across the 6 of their papers we have counts for
7 papers
Wideband Near-Field Channel Estimation Under Hybrid Compression: Cross-Subcarrier KL Covariance Fitting With OFDM Fresnel Model
Rıfat Volkan Şenyuva
We consider wideband channel estimation for extremely large-scale multiple-input multiple-output (XL-MIMO) arrays under hybrid analog-digital compression, in which a uniform linear…
Wideband Compressed-Domain Cramér-Rao Bounds for Near-Field XL-MIMO: Data and Geometric Diversity Decomposition
Rıfat Volkan Şenyuva
Wideband orthogonal frequency-division multiplexing (OFDM) over near-field extremely large-scale MIMO (XL-MIMO) arrays couples beam squint and wavefront curvature, and existing sin…
Covariance-Domain Near-Field Channel Estimation under Hybrid Compression: USW/Fresnel Model, Curvature Learning, and KL Covariance Fitting
Rıfat Volkan Şenyuva
Near-field propagation in extremely large aperture arrays requires joint angle-range estimation. In hybrid architectures, only compressed snapshots are availab…
Covariance-Guided DFT Beam Selection for Beamspace ESPRIT in Hybrid mmWave Sensor Arrays
Rıfat Volkan Şenyuva
Accurate direction-of-arrival estimation with hybrid analog--digital millimeter-wave sensor arrays is important for localization, environment sensing, and measurement beam control…
Channel Estimation for RIS aided MISO System
Rıfat Volkan Şenyuva
This paper considers the channel estimation of a single user in a MISO system with an intelligent reflecting surface (IRS). The performances of the minimum variance unbiased (MVU)…
Union Bounds on the Symbol Error Probability of LoRa Modulation for Flat Rician Block Fading Channels
Rıfat Volkan Şenyuva
In this paper the symbol error performance of LoRa modulation is addressed for flat Rician block fading channels. First the exact symbol error probability of the LoRa modulation on…