Search Results for author: Marco Mezzavilla

Found 19 papers, 4 papers with code

Channel Modeling for FR3 Upper Mid-band via Generative Adversarial Networks

no code implementations25 Apr 2024 Yaqi Hu, Mingsheng Yin, Marco Mezzavilla, Hao Guo, Sundeep Rangan

The upper mid-band (FR3) has been recently attracting interest for new generation of mobile networks, as it provides a promising balance between spectrum availability and coverage, which are inherent limitations of the sub 6GHz and millimeter wave bands, respectively.

5G Edge Vision: Wearable Assistive Technology for People with Blindness and Low Vision

no code implementations23 Nov 2023 Tommy Azzino, Marco Mezzavilla, Sundeep Rangan, Yao Wang, John-Ross Rizzo

In an increasingly visual world, people with blindness and low vision (pBLV) face substantial challenges in navigating their surroundings and interpreting visual information.

Terrestrial-Satellite Spectrum Sharing in the Upper Mid-Band with Interference Nulling

no code implementations21 Nov 2023 Seongjoon Kang, Giovanni Geraci, Marco Mezzavilla, Sundeep Rangan

The growing demand for broader bandwidth in cellular networks has turned the upper mid-band (7-24 GHz) into a focal point for expansion.

JUMP: Joint communication and sensing with Unsynchronized transceivers Made Practical

no code implementations16 Apr 2023 Jacopo Pegoraro, Jesus O. Lacruz, Tommy Azzino, Marco Mezzavilla, Michele Rossi, Joerg Widmer, Sundeep Rangan

We present JUMP, the first system enabling practical bistatic and asynchronous joint communication and sensing, while achieving accurate target tracking and micro-Doppler extraction in realistic conditions.

Multi-Frequency Channel Modeling for Millimeter Wave and THz Wireless Communication via Generative Adversarial Networks

no code implementations22 Dec 2022 Yaqi Hu, Mingsheng Yin, William Xia, Sundeep Rangan, Marco Mezzavilla

Evaluation of these systems requires statistical models that can capture the joint distribution of the channel paths across multiple frequencies.

Generative Adversarial Network

Coexistence of UAVs and Terrestrial Users in Millimeter-Wave Urban Networks

no code implementations19 Sep 2022 Seongjoon Kang, Marco Mezzavilla, Angel Lozano, Giovanni Geraci, Sundeep Rangan, Vasilii Semkin, William Xia, Giuseppe Loianno

5G millimeter-wave (mmWave) cellular networks are in the early phase of commercial deployments and present a unique opportunity for robust, high-data-rate communication to unmanned aerial vehicles (UAVs).

Wireless Channel Prediction in Partially Observed Environments

no code implementations3 Jul 2022 Mingsheng Yin, Yaqi Hu, Tommy Azzino, Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan

Site-specific radio frequency (RF) propagation prediction increasingly relies on models built from visual data such as cameras and LIDAR sensors.

Simultaneous Localization and Mapping

Parametrization and Estimation of High-Rank Line-of-Sight MIMO Channels with Reflected Paths

no code implementations11 May 2022 Yaqi Hu, Mingsheng Yin, Sundeep Rangan, Marco Mezzavilla

In these scenarios, standard channel models based on plane waves cannot capture the curvature of each wave front necessary to model spatial multiplexing.

valid

Understanding Energy Efficiency and Interference Tolerance in Millimeter Wave Receivers

no code implementations1 Jan 2022 Panagiotis Skrimponis, Seongjoon Kang, Abbas Khalili, Wonho Lee, Navid Hosseinzadeh, Marco Mezzavilla, Elza Erkip, Mark J. W. Rodwell, James F. Buckwalter, Sundeep Rangan

Power consumption is a key challenge in millimeter wave (mmWave) receiver front-ends, due to the need to support high dimensional antenna arrays at wide bandwidths.

Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster

no code implementations25 Dec 2021 Zhongzheng Yuan, Tommy Azzino, Yu Hao, Yixuan Lyu, Haoyang Pei, Alain Boldini, Marco Mezzavilla, Mahya Beheshti, Maurizio Porfiri, Todd Hudson, William Seiple, Yi Fang, Sundeep Rangan, Yao Wang, J. R. Rizzo

The vision evaluation is combined with a detailed full-stack wireless network simulation to determine the distribution of throughputs and delays with real navigation paths and ray-tracing from new high-resolution 3D models in an urban environment.

Edge-computing object-detection +1

Millimeter-Wave UAV Coverage in Urban Environments

1 code implementation5 Apr 2021 Seongjoon Kang, Marco Mezzavilla, Angel Lozano, Giovanni Geraci, William Xia, Sundeep Rangan, Vasilii Semkin, Giuseppe Loianno

Additional dedicated (rooftop-mounted and uptilted) base stations strengthen the coverage provided that their density is comparable to that of the standard deployment, and would be instrumental for sparse deployments of the latter.

Lightweight UAV-based Measurement System for Air-to-Ground Channels at 28 GHz

no code implementations31 Mar 2021 Vasilii Semkin, Seongjoon Kang, Jaakko Haarla, William Xia, Ismo Huhtinen, Giovanni Geraci, Angel Lozano, Giuseppe Loianno, Marco Mezzavilla, Sundeep Rangan

Wireless communication at millimeter wave frequencies has attracted considerable attention for the delivery of high-bit-rate connectivity to unmanned aerial vehicles (UAVs).

Millimeter Wave Channel Modeling via Generative Neural Networks

no code implementations25 Aug 2020 William Xia, Sundeep Rangan, Marco Mezzavilla, Angel Lozano, Giovanni Geraci, Vasilii Semkin, Giuseppe Loianno

Statistical channel models are instrumental to design and evaluate wireless communication systems.

Xilinx RF-SoC-based Digital Multi-Beam Array Processors for 28/60~GHz Wireless Testbeds

no code implementations3 Aug 2020 Sravan Pulipati, Viduneth Ariyarathna, Aditya Dhananjay, Mohammed E. Eltayeb, Marco Mezzavilla, Josep M. Jornet, Soumyajit Mandal, Shubhendu Bhardwaj, Arjuna Madanayake

Emerging wireless applications such as 5G cellular, large intelligent surfaces (LIS), and holographic massive MIMO require antenna array processing at mm-wave frequencies with large numbers of independent digital transceivers.

Millimeter Wave Remove UAV Control and Communications for Public Safety Scenarios

no code implementations13 May 2020 William Xia, Michele Polese, Marco Mezzavilla, Giuseppe Loianno, Sundeep Rangan, Michele Zorzi

Communication and video capture from unmanned aerial vehicles (UAVs) offer significant potential for assisting first responders in remote public safety settings.

End-to-End Simulation of 5G mmWave Networks

4 code implementations8 May 2017 Marco Mezzavilla, Menglei Zhang, Michele Polese, Russell Ford, Sourjya Dutta, Sundeep Rangan, Michele Zorzi

Due to its potential for multi-gigabit and low latency wireless links, millimeter wave (mmWave) technology is expected to play a central role in 5th generation cellular systems.

Networking and Internet Architecture

Performance Comparison of Dual Connectivity and Hard Handover for LTE-5G Tight Integration

9 code implementations19 Jul 2016 Michele Polese, Marco Mezzavilla, Michele Zorzi

However, when propagation conditions are hard and it is difficult to provide high quality coverage with mmWave BS, it is necessary to rely on previous generation LTE base stations, which make use of lower frequencies (900 MHz - 3. 5 GHz), which are less sensitive to blockage and experience lower pathloss.

Networking and Internet Architecture

A Framework for End-to-End Evaluation of 5G mmWave Cellular Networks in ns-3

4 code implementations22 Feb 2016 Russell Ford, Menglei Zhang, Sourjya Dutta, Marco Mezzavilla, Sundeep Rangan, Michele Zorzi

In this work, we present the first-of-its-kind, open-source framework for modeling mmWave cellular networks in the ns-3 simulator.

Networking and Internet Architecture I.6.5; I.6.7

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