Distributed channel allocation for mobile 6g subnetworks via multi-agent deep q-learning

[PDF] arxiv.org

SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks

Y Cohen, T Gafni, R Greenberg, K Cohen - arXiv preprint arXiv …, 2024 - arxiv.org
We consider the problem of dynamic channel allocation (DCA) in cognitive communication
networks with the goal of maximizing a global signal-to-interference-plus-noise ratio (SINR) …
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[PDF] arxiv.org

Distributed MIMO for 6G sub-Networks in the Unlicensed Spectrum

M Elwekeil, LG Giordano, P Baracca… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we consider the sixth generation (6G) sub-networks, where hyper reliable low
latency communications (HRLLC) requirements are expected to be met. We focus on a …
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[PDF] arxiv.org

Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks

D Abode, R Adeogun, L Salaün, R Abreu… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we present an unsupervised approach for frequency sub-band allocation in
wireless networks using graph-based learning. We consider a dense deployment of …
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[PDF] arxiv.org

Comparative Analysis of Sub-band Allocation Algorithms in In-body Sub-networks Supporting XR Applications

S Bagherinejad, T Jacobsen, NK Pratas… - arXiv preprint arXiv …, 2024 - arxiv.org
In-body subnetworks (IBS) are envisioned to support reliable wireless connectivity for
emerging applications including extended reality (XR) in the human body. As the …
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A Brief Review of Machine Learning-Based Approaches for Advanced Interference Management in 6G In-X Sub-networks

N Trabelsi, L Chaari Fourati - International Conference on Advanced …, 2024 - Springer
Abstract 6G is envisioned to take the form of a 'network of networks', where wireless
networks of different types and operational ranges are to be seamlessly integrated. In-X sub …
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