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08/09/2023
Designing Cellular Networks for UAV Corridors via Bayesian Optimization
As traditional cellular base stations (BSs) are optimized for 2D ground ...
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02/15/2023
Learning Random Access Schemes for Massive Machine-Type Communication with MARL
In this paper, we explore various multi-agent reinforcement learning (MA...
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01/16/2023
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management
Optimal resource allocation in modern communication networks calls for t...
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08/10/2022
Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach
In this work, we optimize the 3D trajectory of an unmanned aerial vehicl...
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06/08/2022
Scalable Joint Learning of Wireless Multiple-Access Policies and their Signaling
In this paper, we apply an multi-agent reinforcement learning (MARL) fra...
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08/16/2021
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning
In this paper, we propose a new framework, exploiting the multi-agent de...
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12/15/2020
Towards a 6G AI-Native Air Interface
Each generation of cellular communication systems is marked by a definin...
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07/20/2020