Sabarish Krishna Moorthy

Orcid: 0000-0002-7209-4558

According to our database1, Sabarish Krishna Moorthy authored at least 15 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
A Mobility-Resilient Spectrum Sharing Framework for Operating Wireless UAVs in the 6 GHz Band.
IEEE/ACM Trans. Netw., December, 2023

OSWireless: Hiding specification complexity for zero-touch software-defined wireless networks.
Comput. Networks, December, 2023

Digital twin-enabled domain adaptation for zero-touch UAV networks: Survey and challenges.
Comput. Networks, November, 2023

NeXT: Architecture, prototyping and measurement of a software-defined testing framework for integrated RF network simulation, experimentation and optimization.
Comput. Commun., October, 2023

Swarm UAV networking with collaborative beamforming and automated ESN learning in the presence of unknown blockages.
Comput. Networks, July, 2023

Demo Abstract: Scaling Out srsRAN Through Interfacing Wirelessly srsENB with srsEPC.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
ESN Reinforcement Learning for Spectrum and Flight Control in THz-Enabled Drone Networks.
IEEE/ACM Trans. Netw., 2022

Beam Learning in MmWave/THz-Band Drone Networks Under In-Flight Mobility Uncertainties.
IEEE Trans. Mob. Comput., 2022

A Middleware for Digital Twin-Enabled Flying Network Simulations Using UBSim and UB-ANC.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

CloudRAFT: A Cloud-based Framework for Remote Experimentation for Mobile Networks.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

NeXT: A Software-Defined Testbed with Integrated Optimization, Simulation and Experimentation.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
SwarmShare: Mobility-Resilient Spectrum Sharing for Swarm UAV Networking in the 6 GHz Band.
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021

FlyBeam: Echo State Learning for Joint Flight and Beamforming Control in Wireless UAV Networks.
Proceedings of the ICC 2021, 2021

2020
FlyTera: Echo State Learning for Joint Access and Flight Control in THz-enabled Drone Networks.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

LeTera: Stochastic Beam Control Through ESN Learning in Terahertz-Band Wireless UAV Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020


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