Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks

2 December 2020

Papers citing "Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks"

20 / 20 papers shown

Title
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems Osvaldo Simeone Sangwoo Park Matteo Zecchin 204 0 0 12 Apr 2025
O-RAN xApps Conflict Management using Graph Convolutional Networks Maryam Al Shami Jun Yan Emmanuel Thepie Fapi GNN 75 1 0 05 Mar 2025
Fair Resource Allocation in Virtualized O-RAN Platforms Fatih Aslan Georgios Iosifidis J. Ayala-Romero A. Garcia-Saavedra Xavier Costa Pérez 30 9 0 17 Feb 2024
ns-O-RAN: Simulating O-RAN 5G Systems in ns-3 Andrea Lacava Matteo Bordin Michele Polese R. Sivaraj Tommaso Zugno F. Cuomo Tommaso Melodia 30 25 0 11 May 2023
Beam Management Driven by Radio Environment Maps in O-RAN Architecture Marcin Hoffmann P. Kryszkiewicz 7 6 0 21 Mar 2023
Intelligent O-RAN Traffic Steering for URLLC Through Deep Reinforcement Learning Ibrahim Tamim Sam Aleyadeh Abdallah Shami AI4TS 24 7 0 03 Mar 2023
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework Van-Dinh Nguyen T. Vu N. Nguyen Dinh C. Nguyen M. Juntti Nguyen Cong Luong D. Hoang Diep N. Nguyen Symeon Chatzinotas 30 22 0 06 Feb 2023
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks Yiugit Berkay Uslu Navid Naderializadeh Mark Eisen Alejandro Riberio University of Pennsylvania 31 0 0 28 Oct 2022
Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures Andrea Lacava Michele Polese R. Sivaraj Rahul Soundrarajan Bhawani Shanker Bhati Tarunjeet Singh Tommaso Zugno F. Cuomo Tommaso Melodia 35 80 0 28 Sep 2022
Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis M. Kouchaki Vuk Marojevic 43 19 0 26 Sep 2022
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN Fatemeh Lotfi Omid Semiari Fatemeh Afghah 22 12 0 30 Aug 2022
Choose, not Hoard: Information-to-Model Matching for Artificial Intelligence in O-RAN Jorge Martín-Pérez Nuria Molner F. Malandrino C. Bernardos Antonio de la Oliva D. Gómez-Barquero 24 5 0 01 Aug 2022
OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms Leonardo Bonati Michele Polese Salvatore D’oro S. Basagni Tommaso Melodia 16 50 0 25 Jul 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 43 17 0 05 Jul 2022
Sim2real for Reinforcement Learning Driven Next Generation Networks Peizheng Li Jonathan D. Thomas Xiaoyang Wang Hakan Erdol A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki 22 3 0 08 Jun 2022
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms Michele Polese Leonardo Bonati Salvatore D’oro S. Basagni Tommaso Melodia 29 148 0 17 Dec 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation Leonardo Bonati Pedram Johari Michele Polese Salvatore D’oro Subhramoy Mohanti ... Francesco Restuccia A. Gosain Kaushik R. Chowdhury S. Basagni Tommaso Melodia 6 107 0 20 Oct 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 32 12 0 02 Aug 2021
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,174 0 02 Feb 2017