Dynamic UAV deployment for differentiated services: A multi-agent imitation learning based approach
Unmanned Aerial Vehicles (UAVs) have been utilized to serve on-ground users with various
services, eg, computing, communication and caching, due to their mobility and flexibility. The …
services, eg, computing, communication and caching, due to their mobility and flexibility. The …
Streaming From the Air : Enabling Drone-Sourced Video Streaming Applications on 5G Open-RAN Architectures
Enabling high data-rate uplink cellular connectivity for drones is a challenging problem,
since a flying drone has a higher likelihood of having line-of-sight propagation to base …
since a flying drone has a higher likelihood of having line-of-sight propagation to base …
What is a wireless UAV? A design blueprint for 6G flying wireless nodes
Wireless Unmanned Aerial Vehicles (UAVs) were introduced in the world of 4th generation
networks (4G) as cellular users, and have attracted the interest of the wireless community …
networks (4G) as cellular users, and have attracted the interest of the wireless community …
Exploring networked airborne computing: A comprehensive approach with advanced simulator and hardware testbed
In recent years, networked airborne computing (NAC) has emerged as a promising
paradigm because it can leverage the collaborative capabilities of unmanned aerial vehicles …
paradigm because it can leverage the collaborative capabilities of unmanned aerial vehicles …
Learning to Fly: A Distributed Deep Reinforcement Learning Framework for Software-Defined UAV Network Control
Control and performance optimization of wireless networks of Unmanned Aerial Vehicles
(UAVs) require scalable approaches that go beyond architectures based on centralized …
(UAVs) require scalable approaches that go beyond architectures based on centralized …
Proactive radio-and QoS-aware UAV as BS deployment to improve cellular operations
Abstract Unmanned Aerial Vehicle as Base Stations (UAV-BS) is a promising technology for
mitigating Terrestrial Base Stations (TBS) failures or becoming an ideal temporary solution …
mitigating Terrestrial Base Stations (TBS) failures or becoming an ideal temporary solution …
NeXT: Architecture, prototyping and measurement of a software-defined testing framework for integrated RF network simulation, experimentation and optimization
J Hu, Z Zhao, M McManus, SK Moorthy, Y Cui… - Computer …, 2023 - Elsevier
To support rigorous and repeatable experimental evaluation of wireless networked systems,
the community has made significant efforts to develop experimentation platforms. However …
the community has made significant efforts to develop experimentation platforms. However …
OSWireless: Enhancing automation for optimizing intent-driven software-defined wireless networks
To control wireless networks with optimized configurations, engineers usually need to
grapple simultaneously with network modeling, algorithm and protocol design as well as …
grapple simultaneously with network modeling, algorithm and protocol design as well as …
OSWireless: Hiding specification complexity for zero-touch software-defined wireless networks
SK Moorthy, N Mastronarde, ES Bentley, M Medley… - Computer Networks, 2023 - Elsevier
In the current practice of wireless engineering, to optimize wireless networks engineers
usually need to grapple simultaneously with network modeling, algorithm and protocol …
usually need to grapple simultaneously with network modeling, algorithm and protocol …
[PDF][PDF] OSWireless: Hiding specification complexity for zero-touch software-defined wireless networks
S Krishna_Moorthy, N Mastronarde, ES Bentley… - Computer …, 2023 - par.nsf.gov
In the current practice of wireless engineering, to optimize wireless networks engineers
usually need to grapple simultaneously with network modeling, algorithm and protocol …
usually need to grapple simultaneously with network modeling, algorithm and protocol …