Zobrazeno 1 - 10
of 979
pro vyhledávání: '"Iturria, A. (A.)"'
Autor:
Iturria-Rivera, Pedro Enrique, Gaigalas, Raimundas, Elsayed, Medhat, Bavand, Majid, Ozcan, Yigit, Erol-Kantarci, Melike
Extended Reality (XR) services are set to transform applications over 5th and 6th generation wireless networks, delivering immersive experiences. Concurrently, Artificial Intelligence (AI) advancements have expanded their role in wireless networks, h
Externí odkaz:
http://arxiv.org/abs/2411.14264
Autor:
Habib, Md Arafat, Zhou, Hao, Iturria-Rivera, Pedro Enrique, Ozcan, Yigit, Elsayed, Medhat, Bavand, Majid, Gaigalas, Raimundas, Erol-Kantarci, Melike
Traffic Steering is a crucial technology for wireless networks, and multiple efforts have been put into developing efficient Machine Learning (ML)-enabled traffic steering schemes for Open Radio Access Networks (O-RAN). Given the swift emergence of n
Externí odkaz:
http://arxiv.org/abs/2409.20391
Autor:
Salehi, Shavbo, Iturria-Rivera, Pedro Enrique, Elsayed, Medhat, Bavand, Majid, Gaigalas, Raimundas, Ozcan, Yigit, Erol-Kantarci, Melike
In 5G networks, network slicing has emerged as a pivotal paradigm to address diverse user demands and service requirements. To meet the requirements, reinforcement learning (RL) algorithms have been utilized widely, but this method has the problem of
Externí odkaz:
http://arxiv.org/abs/2408.10376
Autor:
Habib, Md Arafat, Rivera, Pedro Enrique Iturria, Ozcan, Yigit, Elsayed, Medhat, Bavand, Majid, Gaigalas, Raimundus, Erol-Kantarci, Melike
Intent-based network automation is a promising tool to enable easier network management however certain challenges need to be effectively addressed. These are: 1) processing intents, i.e., identification of logic and necessary parameters to fulfill a
Externí odkaz:
http://arxiv.org/abs/2406.06059
Autor:
Iturria-Rivera, Pedro Enrique, Gaigalas, Raimundas, Elsayed, Medhat, Bavand, Majid, Ozcan, Yigit, Erol-Kantarci, Melike
Extended Reality (XR) services will revolutionize applications over 5th and 6th generation wireless networks by providing seamless virtual and augmented reality experiences. These applications impose significant challenges on network infrastructure,
Externí odkaz:
http://arxiv.org/abs/2405.15872
Autor:
Habib, Md Arafat, Iturria-Rivera, Pedro Enrique, Ozcan, Yigit, Elsayed, Medhat, Bavand, Majid, Gaigalas, Raimundus, Erol-Kantarci, Melike
This paper introduces an innovative method for predicting wireless network traffic in concise temporal intervals for Open Radio Access Networks (O-RAN) using a transformer architecture, which is the machine learning model behind generative AI tools.
Externí odkaz:
http://arxiv.org/abs/2403.10808
Autor:
Iturria-Rivera, Pedro Enrique, Chenier, Marcel, Herscovici, Bernard, Kantarci, Burak, Erol-Kantarci, Melike
Dense and unplanned IEEE 802.11 Wireless Fidelity(Wi-Fi) deployments and the continuous increase of throughput and latency stringent services for users have led to machine learning algorithms to be considered as promising techniques in the industry a
Externí odkaz:
http://arxiv.org/abs/2307.05419
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning
Autor:
Habib, Md Arafat, Zhou, Hao, Iturria-Rivera, Pedro Enrique, Elsayed, Medhat, Bavand, Majid, Gaigalas, Raimundas, Ozcan, Yigit, Erol-Kantarci, Melike
rApps and xApps need to be controlled and orchestrated well in the open radio access network (O-RAN) so that they can deliver a guaranteed network performance in a complex multi-vendor environment. This paper proposes a novel intent-driven intelligen
Externí odkaz:
http://arxiv.org/abs/2307.02754
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract From Alzheimer’s disease to amyotrophic lateral sclerosis, the molecular cascades underlying neurodegenerative disorders remain poorly understood. The clinical view of neurodegeneration is confounded by symptomatic heterogeneity and mixed
Externí odkaz:
https://doaj.org/article/bfa80db359ca410b91a47d9e5410043b
Autor:
Rivera, Pedro Enrique Iturria, Chenier, Marcel, Herscovici, Bernard, Kantarci, Burak, Erol-Kantarci, Melike
IEEE 802.11be -Extremely High Throughput-, commercially known as Wireless-Fidelity (Wi-Fi) 7 is the newest IEEE 802.11 amendment that comes to address the increasingly throughput hungry services such as Ultra High Definition (4K/8K) Video and Virtual
Externí odkaz:
http://arxiv.org/abs/2303.08959