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Found 6 papers, 3 papers with code
Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym
Softwarization, programmable network control and the use of all-encompassing controllers acting at different timescales are heralded as the key drivers for the evolution to next-generation cellular networks.
OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms
In this paper we present OpenRAN Gym, a unified, open, and O-RAN-compliant experimental toolbox for data collection, design, prototyping and testing of end-to-end data-driven control solutions for next generation Open RAN systems.
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
In this paper, we address these challenges by proposing practical solutions and software pipelines for the design, training, testing, and experimental evaluation of DRL-based closed-loop control in the Open RAN.
Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation
In this paper, we introduce Colosseum as a testbed that is for the first time open to the research community.
SteaLTE: Private 5G Cellular Connectivity as a Service with Full-stack Wireless Steganography
Differently from previous work, however, it takes a full-stack approach to steganography, contributing an LTE-compliant steganographic protocol stack for PCCaaS-based communications, and packet schedulers and operations to embed covert data streams on top of traditional cellular traffic (primary traffic).
Networking and Internet Architecture Cryptography and Security
Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks
Next Generation (NextG) cellular networks will be natively cloud-based and built upon programmable, virtualized, and disaggregated architectures.
