Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Mangues‐Bafalluy, Josep"'
Autor:
Nikbakht, Rasoul, Javed, Farhana, Rezazadeh, Farhad, Bartzoudis, Nikolaos, Mangues-Bafalluy, Josep
The paper introduces an advanced Decentralized Energy Marketplace (DEM) integrating blockchain technology and artificial intelligence to manage energy exchanges among smart homes with energy storage systems. The proposed framework uses Non-Fungible T
Externí odkaz:
http://arxiv.org/abs/2311.10406
Autor:
Rezazadeh, Farhad, Barrachina-MuNoz, Sergio, Zeydan, Engin, Song, Houbing, Subbalakshmi, K. P., Mangues-Bafalluy, Josep
The rapid development of artificial intelligence (AI) techniques has triggered a revolution in beyond fifth-generation (B5G) and upcoming sixth-generation (6G) mobile networks. Despite these advances, efficient resource allocation in dynamic and comp
Externí odkaz:
http://arxiv.org/abs/2311.08798
Autor:
Rezazadeh, Farhad, Zanzi, Lanfranco, Devoti, Francesco, Barrachina-Munoz, Sergio, Zeydan, Engin, Costa-Pérez, Xavier, Mangues-Bafalluy, Josep
Artificial intelligence (AI) and Machine Learning (ML) are considered as key enablers for realizing the full potential of fifth-generation (5G) and beyond mobile networks, particularly in the context of resource management and orchestration. In this
Externí odkaz:
http://arxiv.org/abs/2307.02414
The complexity of emerging sixth-generation (6G) wireless networks has sparked an upsurge in adopting artificial intelligence (AI) to underpin the challenges in network management and resource allocation under strict service level agreements (SLAs).
Externí odkaz:
http://arxiv.org/abs/2303.15000
Autor:
Kahvazadeh, Sarang, Khalili, Hamzeh, Silab, Rasoul Nikbakht, Bakhshi, Bahador, Mangues-Bafalluy, Josep
5G realizes an impactful convergence, where Network Functions Virtualization (NFV) and cloud-native models become fundamental for profiting from the unprecedented capacity offered at the 5G Radio Access Network (RAN). For providing scalability and au
Externí odkaz:
http://arxiv.org/abs/2211.14078
Edge caching can significantly improve the 5G networks' performance both in terms of delay and backhaul traffic. We use a reinforcement learning-based (RL-based) caching technique that can adapt to time-location-dependent popularity patterns for on-d
Externí odkaz:
http://arxiv.org/abs/2211.13962
The need of mobile network operators for cost-effectiveness is driving 5G and beyond networks towards highly flexible and agile deployments to adapt to dynamic and resource-constrained scenarios while meeting a myriad of user network stakeholders' re
Externí odkaz:
http://arxiv.org/abs/2211.11284
5G represents a revolutionary shift with respect to previous generations given its design centered on network softwarization. Within such a change of paradigm, cloud-native solutions are widely regarded as the future of vertical application developme
Externí odkaz:
http://arxiv.org/abs/2207.11936
In multi-provider 5G/6G networks, service delegation enables administrative domains to federate in provisioning NFV network services. Admission control is fundamental in selecting the appropriate deployment domain to maximize average profit without p
Externí odkaz:
http://arxiv.org/abs/2112.13093
Softwarization and virtualization are key concepts for emerging industries that require ultra-low latency. This is only possible if computing resources, traditionally centralized at the core of communication networks, are moved closer to the user, to
Externí odkaz:
http://arxiv.org/abs/2111.07849