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20052026
most citedFrameless ALOHA Protocol for Wireless Networks

154 citations · 538 across the 74 of their papers we have counts for

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12 papers · 1 filter

eess.SP2026

BeamGuard: Risk-Aware Multimodal Beam Forecasting and Adaptive Virtual Beamwidth Control for 6G mmWave V2I Links

Abidemi Orimogunje, Dejan Vukobratovic, Sunwoo Kim +4

Reliable beam management is a central challenge for 6G millimeter-wave (mmWave) vehicle-to-infrastructure (V2I) links, where narrow beams provide high array gain but are vulnerable…

eess.SP2026

Autonomous CSI Prediction Framework for O-RAN-Enabled 5G mmWave Vehicular Networks

Abidemi Orimogunje, Vukan Ninkovic, Nemanja Petrovic +4

Establishing and maintaining 5G mmWave vehicular connectivity poses a challenge due to high user mobility, requiring the design of robust and efficient beam switching procedures. U…

eess.SP2026

Sensing-Assisted Adaptive Beam Probing with Calibrated Multimodal Priors and Uncertainty-Aware Scheduling

Abidemi Orimogunje, Vukan Ninkovic, Ognjen Kundacina +5

Highly directional mmWave/THz links require rapid beam alignment, yet exhaustive codebook sweeps incur prohibitive training overhead. This letter proposes a sensing-assisted adapti…

eess.SP2026

Task-Oriented Wireless Transmission of 3D Point Clouds: Geometric Versus Semantic Robustness

Vukan Ninkovic, Tamara Sobot, Vladimir Vincan +3

Wireless transmission of high-dimensional 3D point clouds (PCs) is increasingly required in industrial collaborative robotics systems. Conventional compression methods prioritize g…

eess.SP2026

System-Level Comparison of Multimodal and In-Band mmWave Sensing for Beam Prediction in 6G ISAC

Abidemi Orimogunje, Hyunwoo Park, Igbafe Orikumhi +2

Integrated sensing and communication (ISAC) can reduce beam-training overhead in mmWave vehicle-to-infrastructure (V2I) links by enabling in-band sensing-based beam prediction, whi…

eess.SP2025

Mobility-Aware Localization in mmWave Channel: Adaptive Hybrid Filtering Approach

Abidemi Orimogunje, Kyeong-Ju Cha, Hyunwoo Park +3

Precise user localization and tracking enhances energy-efficient and ultra-reliable low latency applications in the next generation wireless networks. In addition to computational…