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eess.SY2025

Cognitive Radio for Asymmetric Cellular Downlink with Multi-User MIMO

Omer Gokalp Serbetci, Lei Chu, Andreas F. Molisch

Cognitive radio (CR) is an important technique for improving spectral efficiency, letting a secondary system operate in a wireless spectrum when the primary system does not make us…

eess.SY2024

Ultra-Wideband Double-Directional Channel Measurements and Statistical Modeling in Urban Microcellular Environments for the Upper-Midband/FR3

Naveed A. Abbasi, Kelvin Arana, Siddhant Singh +7

The upper midband, designated as Frequency Range 3 (FR3), is increasingly critical for the next-generation of wireless networks. Channel propagation measurements and their statisti…

eess.SY2024

Ultra-wideband Double-Directionally Resolved Channel Measurements of Line-of-Sight Microcellular Scenarios in the Upper Mid-band

Naveed A. Abbasi, Kelvin Arana, Jorge Gomez-Ponce +7

The growing demand for higher data rates and expanded bandwidth is driving the exploration of new frequency ranges, including the upper mid-band spectrum (6-24 GHz), which is a pro…

eess.SY2024

Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction

Lei Chu, Daoud Burghal, Rui Wang +2

Achieving reliable multidimensional Vehicle-to-Vehicle (V2V) channel state information (CSI) prediction is both challenging and crucial for optimizing downstream tasks that depend…

eess.SY2024

Wireless Channel Aware Data Augmentation Methods for Deep Learning-Based Indoor Localization

Omer Gokalp Serbetci, Daoud Burghal, Andreas F. Molisch

Indoor localization is a challenging problem that - unlike outdoor localization - lacks a universal and robust solution. Machine Learning (ML), particularly Deep Learning (DL), met…