Spectrum allocation for network slices with inter-numerology interference using deep reinforcement learning
M Zambianco, G Verticale - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
… as well as the inter-numerology interference generated by slices … minimizes the inter-numerology
interference under the … function, we leverage deep reinforcement learning (DRL) to …
interference under the … function, we leverage deep reinforcement learning (DRL) to …
A reinforcement learning agent for mixed-numerology interference-aware slice spectrum allocation with non-deterministic and deterministic traffic
M Zambianco, G Verticale - Computer Communications, 2022 - Elsevier
… network characterization, we design a deep reinforcement learning (DRL) agent that … URLLC
service requirements and mitigates the inter-numerology interference (INI). Furthermore, by …
service requirements and mitigates the inter-numerology interference (INI). Furthermore, by …
Deep reinforcement learning for inter-numerology interference minimization in 5G RAN slicing
M Zambianco - 2021 - politesi.polimi.it
… design complexity since Inter-Numerology Interference (INI) … inter-numerology interference
that affects each slice user. The proposed schemes leverage Deep Reinforcement Learning (…
that affects each slice user. The proposed schemes leverage Deep Reinforcement Learning (…
Intelligent multi-branch allocation of spectrum slices for inter-numerology interference minimization
M Zambianco, G Verticale - Computer Networks, 2021 - Elsevier
… However, the interference generated by the simultaneous … accounts for the inter-numerology
interference and maximizes … formulation, we leverage deep reinforcement learning (DRL) to …
interference and maximizes … formulation, we leverage deep reinforcement learning (DRL) to …
Inter-numerology interference management with adaptive guards: A cross-layer approach
… of mixed numerologies is challenging due to inter-numerology interference (INI). This paper
… of an asymmetric interference scenario. Since the allowed interference level depends on the …
… of an asymmetric interference scenario. Since the allowed interference level depends on the …
Mixed-numerology interference-aware spectrum allocation for eMBB and URLLC network slices
M Zambianco, G Verticale - 2021 19th Mediterranean …, 2021 - ieeexplore.ieee.org
… multiplexing of different numerologies causes inter-numerology interference (INI) since the
… of the optimal problem, we leverage deep reinforcement learning (DRL) theory to design an …
… of the optimal problem, we leverage deep reinforcement learning (DRL) theory to design an …
Reliability enhancement in multi-numerology-based 5G new radio using INI-aware scheduling
… that is defined as inter-numerology interference (INI) between … As a future work, machine
learning and deep learning … methods for machine learning and deep learning techniques. …
learning and deep learning … methods for machine learning and deep learning techniques. …
Reinforcement learning for inter-operator sharing in open-ran
… 1We note that multiplexing two numerologies creates Inter-NumerologyInterference and that
… To cope with the inter-numerology interference, we assume that a sufficient amount of the …
… To cope with the inter-numerology interference, we assume that a sufficient amount of the …
A three-level slicing algorithm in a multi-slice multi-numerology context
… might not stand because of the ensuing Inter-Numerology Interference (INI) problems. In this
… this preemptive scheduling approach by applying Deep Reinforcement Learning (DRL) to …
… this preemptive scheduling approach by applying Deep Reinforcement Learning (DRL) to …
Radio resource management in multi-numerology 5G new radio featuring network slicing
… We introduce a novel scheduling solution based on Deep Reinforcement Learning (DRL) to
… with Inter-Numerology Interference using Deep Reinforcement Learning”. In: PIMRC. 2020. …
… with Inter-Numerology Interference using Deep Reinforcement Learning”. In: PIMRC. 2020. …
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