most cited5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul

6 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI2022★ 6 cited

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul

Hongyi Zhang, Zhiqiang Qi, Jingya Li +3

Fast and reliable wireless communication has become a critical demand in human life. In the case of mission-critical (MC) scenarios, for instance, when natural disasters strike, pr…

cs.LG2021

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning

Hongyi Zhang, Jingya Li, Zhiqiang Qi +4

Fast and reliable connectivity is essential to enhancing situational awareness and operational efficiency for public safety mission-critical (MC) users. In emergency or disaster ci…

cs.NI2021★ 4 cited

Towards Providing Connectivity When and Where It Counts: An Overview of Deployable 5G Networks

Jingya Li, Xingqin Lin, Keerthi Kumar Nagalapur +7

Public safety operations require fast and reliable mission critical communications under various scenarios, in which the availability of wireless connectivity can be a question of…

cs.NI2021

Deployable Networks for Public Safety in 5G and Beyond: A Coverage and Interference Study

Zhiqiang Qi, Adrián Lahuerta-Lavieja, Jingya Li +1

Deployable networks are foreseen to be one of the key technologies for public safety in fifth generation (5G) mobile communications and beyond. They can be used to complement the e…

cs.NI2021

5G New Radio for Automotive, Rail, and Air Transport

Gabor Fodor, Julia Vinogradova, Peter Hammarberg +6

The recent and upcoming releases of the 3rd Generation Partnership Project's 5G New Radio specifications include features that are motivated by providing connectivity services to a…