activity
20052026
most citedOverview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks-with a focus on Propagation Models

1.5k citations · 4.2k across the 131 of their papers we have counts for

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Showing 2024Show all

13 papers · 1 filter

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.SP2024

An Ultra-Wideband Study of Vegetation Impact on Upper Midband / FR3 Communication

Naveed A. Abbasi, Tathagat Pal, Kelvin Arana +5

Growing demand for high data rates is driving interest in the upper mid-band (FR 3) spectrum (6-24 GHz). While some propagation measurements exist in literature, the impact of vege…

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…

cs.IT2024

Double-Directional V2V Channel Measurement using ReRoMA at 60 GHz

Hussein Hammoud, Yuning Zhang, Zihang Cheng +9

The coordination of vehicles is a crucial element of autonomous driving, as it enhances the efficiency, convenience, and safety of road traffic. In order to fully exploit the capab…

cs.IT2024

Generative vs. Predictive Models in Massive MIMO Channel Prediction

Ju-Hyung Lee, Joohan Lee, Andreas F. Molisch

Massive MIMO (mMIMO) systems are essential for 5G/6G networks to meet high throughput and reliability demands, with machine learning (ML)-based techniques, particularly autoencoder…

cs.LG2024

Personalized Hierarchical Split Federated Learning in Wireless Networks

Md-Ferdous Pervej, Andreas F. Molisch

Extreme resource constraints make large-scale machine learning (ML) with distributed clients challenging in wireless networks. On the one hand, large-scale ML requires massive info…