8 papers
Deep Learning-Based Computer Vision for Beam Selection and Proactive Blockage Prediction
Sachira Karunasena, Erfan Khordad, Tom Drummond +1
Millimeter-wave communication faces two critical challenges: propagation losses requiring costly narrow-beam alignment, and penetration losses causing link failures from blocked li…
Beam Squinting Effects in Super Wideband Communication Systems
Sachitha C. Bandara, Peter J. Smith, Erfan Khordad +3
Beam squint, the frequency-dependent shift of the main beam, poses a major challenge for wideband antenna arrays. This paper focuses on the beam squint effects in super wideband (S…
Target Detection with Tightly-coupled Antennas: Analysis for Unknown Wideband Signals
Erfan Khordad, Peter J. Smith, Sachitha C. Bandara +2
This paper presents analysis for target detection using tightly-coupled antenna (TCA) arrays with high mutual coupling (MC). We show that the wide operational bandwidth of TCAs is…
Joint Max-Min Power Control and Clustering in Cell-Free Wireless Networks: Design and Analysis
Achini Jayawardane, Rajitha Senanayake, Erfan Khordad +1
Cell-free wireless networks have attracted significant interest for their ability to eliminate cell-edge effects and deliver uniformly high service quality through macro-diversity.…
Deep Learning based Computer-vision for Enhanced Beamforming
Sachira Karunasena, Erfan Khordad, Thomas Drummond +1
Meeting the high data rate demands of modern applications necessitates the utilization of high-frequency spectrum bands, including millimeter-wave and sub-terahertz bands. However,…
Rician Channel Modelling for Super Wideband MIMO Communications
Sachitha C. Bandara, Peter J. Smith, Erfan Khordad +2
Recent developments in Multiple-Input-Multiple-Output (MIMO) technology include packing a large number of antenna elements in a compact array to access the bandwidth benefits provi…