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07/03/2023
A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN
Artificial intelligence (AI) and Machine Learning (ML) are considered as...
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03/27/2023
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing
The complexity of emerging sixth-generation (6G) wireless networks has s...
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11/25/2022
Vertical-oriented 5G platform-as-a-service: user-generated content case study
5G realizes an impactful convergence, where Network Functions Virtualiza...
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11/25/2022
Video on Demand Streaming Using RL-based Edge Caching in 5G Networks
Edge caching can significantly improve the 5G networks' performance both...
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11/21/2022
Intent-Based Orchestration for Application Relocation in a 5G Cloud-native Platform
The need of mobile network operators for cost-effectiveness is driving 5...
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07/25/2022
Cloud-native 5G experimental platform with over-the-air transmissions and end-to-end monitoring
5G represents a revolutionary shift with respect to previous generations...
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12/24/2021
Multi-Provider NFV Network Service Delegation via Average Reward Reinforcement Learning
In multi-provider 5G/6G networks, service delegation enables administrat...
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11/15/2021
Near Optimal VNF Placement in Edge-Enabled 6G Networks
Softwarization and virtualization are key concepts for emerging industri...
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10/18/2021
Model-Based Reinforcement Learning Framework of Online Network Resource Allocation
Online Network Resource Allocation (ONRA) for service provisioning is a ...
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03/04/2021
R-Learning Based Admission Control for Service Federation in Multi-domain 5G Networks
Service federation in 5G/B5G networks enables service providers to orche...
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09/27/2018
New Radio beam-based Access to Unlicensed Spectrum: Design Challenges and Solutions
Licensed-Assisted Access (LAA) enabled LTE operators to access unlicense...
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03/20/2018
