Deep neural networks approach for power head-room predictions in 5G networks and beyond

N Salhab, R Rahim, R Langar… - 2020 IFIP Networking …, 2020 - ieeexplore.ieee.org
The enhanced Interference Mitigation and Traffic Adaptation (eIMTA) mechanism is a key
enabler for 5G networks and beyond. Knowing that a User Equipment (UE) cannot transmit …
被引用次数：3 相关文章

[引用][C] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

N Salhab, R Rahim, R Langar… - 19th International IFIP …, 2020 - hal-emse.ccsd.cnrs.fr
Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and
Beyond - Software, Networks and Real-Time Systems Accéder directement au contenu …

[引用][C] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

N Salhab, R Rahim, R Langar… - 19th International IFIP TC6 …, 2020 - cnrs.hal.science
Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and
Beyond - CNRS - Centre national de la recherche scientifique Accéder directement au contenu …
[PDF] hal.science

[PDF][PDF] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

N Salhab, R Rahim, R Langar, R Boutaba - 19th International IFIP TC6 …, 2020 - hal.science
The enhanced Interference Mitigation and Traffic Adaptation (eIMTA) mechanism is a key
enabler for 5G networks and beyond. Knowing that a User Equipment (UE) cannot transmit …

[引用][C] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

N Salhab, R Rahim, R Langar… - 19th International IFIP …, 2020 - univ-eiffel.hal.science
Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and
Beyond - Université Gustave Eiffel Accéder directement au contenu Documentation FR …
[PDF] academia.edu

[PDF][PDF] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

N Salhab, R Rahim, R Langar, R Boutaba - academia.edu
The enhanced Interference Mitigation and Traffic Adaptation (eIMTA) mechanism is a key
enabler for 5G networks and beyond. Knowing that a User Equipment (UE) cannot transmit …
[PDF] ifip.org

[PDF][PDF] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

N Salhab, R Rahim, R Langar, R Boutaba - dl.ifip.org
The enhanced Interference Mitigation and Traffic Adaptation (eIMTA) mechanism is a key
enabler for 5G networks and beyond. Knowing that a User Equipment (UE) cannot transmit …
[PDF] researchgate.net

[PDF][PDF] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

N Salhab, R Rahim, R Langar, R Boutaba - researchgate.net
The enhanced Interference Mitigation and Traffic Adaptation (eIMTA) mechanism is a key
enabler for 5G networks and beyond. Knowing that a User Equipment (UE) cannot transmit …

[引用][C] Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and Beyond

N Salhab, R Rahim, R Langar… - 19th International IFIP …, 2020 - hal.sorbonne-universite.fr
Deep Neural Networks approach for Power Head-Room Predictions in 5G Networks and
Beyond - Software, Networks and Real-Time Systems Accéder directement au contenu …

[引用][C] Deep neural networks approach for power head-room predictions in 5G networks and beyond

N Salhab, R Rahim, R Langar, R Boutaba - 2020 - espace2.etsmtl.ca
Deep neural networks approach for power head-room predictions in 5G networks and
beyond - Espace ÉTS ENGLISH Logo La vitrine de diffusion des publications et …