Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Maxime Bouton"'
Autor:
Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas, Syed Muhammad Asad Zaidi, Hasan Farooq, Julien Forgeat, Maxime Bouton, Shruti Bothe, Per Karlsson, Ali Rizwan, Ali Imran
The future of cellular networks is contingent on artificial intelligence (AI) based automation, particularly for radio access network (RAN) operation, optimization, and troubleshooting. To achieve such zero-touch automation, a myriad of AI-based solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c792608cc0df8b9414e3dc2a6c7d5f0a
Publikováno v:
2022 IEEE International Conference on Communications Workshops (ICC Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b12bfb67106cef34c905bc371ad09d5
https://doi.org/10.1109/iccworkshops53468.2022.9814498
https://doi.org/10.1109/iccworkshops53468.2022.9814498
Publikováno v:
ICC Workshops
Edge intelligence in radio access network (RAN) is an emerging concept wherein machine learning (ML) driven self- organizing network (SON) functions reside in edge nodes or base stations (BSs). This allows to fulfill ultra-low latency, scalability, u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c43d1c8a912c2497a9b5e9fbe50dfa4c
https://doi.org/10.1109/iccworkshops50388.2021.9473506
https://doi.org/10.1109/iccworkshops50388.2021.9473506
6G will move mobile networks towards increasing levels of complexity. To deal with this complexity, optimization of network parameters is key to ensure high performance and timely adaptivity to dynamic network environments. The optimization of the an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a416183de1e7b9cc02ac15a1c371e83
Publikováno v:
AAAI
Autonomous systems are often required to operate in partially observable environments. They must reliably execute a specified objective even with incomplete information about the state of the environment. We propose a methodology to synthesize polici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c55bfdbb61313fff37658fe4704b8f16
Publikováno v:
ITSC
Maneuvering in dense traffic is a challenging task for autonomous vehicles because it requires reasoning about the stochastic behaviors of many other participants. In addition, the agent must achieve the maneuver within a limited time and distance. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09efa7a15dd2f1e5c090f89599c95a99
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV)
Safe autonomous driving in urban areas requires robust algorithms to avoid collisions with other traffic participants with limited perception ability. Current deployed approaches relying on Autonomous Emergency Braking (AEB) systems are often overly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f48f663a07d31fde5243248c6c042ed0
http://arxiv.org/abs/1904.11566
http://arxiv.org/abs/1904.11566
Publikováno v:
ITSC
Decision making in dense traffic can be challenging for autonomous vehicles. An autonomous system only relying on predefined road priorities and considering other drivers as moving objects will cause the vehicle to freeze and fail the maneuver. Human
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::febf22c9d17716369e9ecb82ae8f6eab
Publikováno v:
ICRA
Autonomous driving in urban areas requires avoiding other road users with only partial observability of the environment. Observations are only partial because obstacles can occlude the field of view of the sensors. The problem of robust and efficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cccaed1b988de0ac7b76f4a9c5ee978a
https://doi.org/10.1109/icra.2018.8460914
https://doi.org/10.1109/icra.2018.8460914
Decomposition methods have been proposed to approximate solutions to large sequential decision making problems. In contexts where an agent interacts with multiple entities, utility decomposition can be used to separate the global objective into local
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eb05125c1d26555673d92ad8825c9c5