Zobrazeno 1 - 10
of 4 625
pro vyhledávání: '"P, Aho"'
Our future society will be increasingly digitalised, hyper-connected and globally data driven. The sixth generation (6G) and beyond 6G wireless networks are expected to bridge the digital and physical worlds by providing wireless connectivity as a se
Externí odkaz:
http://arxiv.org/abs/2410.23203
We characterize three near-field sub-regions for phased array antennas by elaborating on the boundaries {\it Fraunhofer}, {\it radial-focal}, and {\it non-radiating} distances. The {\it Fraunhofer distance} which is the boundary between near and far
Externí odkaz:
http://arxiv.org/abs/2411.02425
This paper presents the characterization of near-field propagation regions for phased array antennas, with a particular focus on the propagation boundaries defined by Fraunhofer and Fresnel distances. These distances, which serve as critical boundari
Externí odkaz:
http://arxiv.org/abs/2411.02417
Autor:
Ruíz-Guirola, David E., Rodríguez-López, Carlos A., López, Onel L. A., Montejo-Sánchez, Samuel, Reguera, Vitalio Alfonso, Latva-aho, Matti
Discontinuous reception (DRX) is a key technology for reducing the energy consumption of industrial Internet of Things (IIoT) devices. Specifically, DRX allows the devices to operate in a low-power mode when no data reception is scheduled, and its ef
Externí odkaz:
http://arxiv.org/abs/2409.17881
Practical Challenges for Reliable RIS Deployment in Heterogeneous Multi-Operator Multi-Band Networks
Autor:
Monemi, Mehdi, Rasti, Mehdi, de Sena, Arthur S., Fallah, Mohammad Amir, Latva-Aho, Matti, Di Renzo, Marco
Reconfigurable intelligent surfaces (RISs) have been introduced as arrays of nearly passive elements with software-tunable electromagnetic properties to dynamically manipulate the reflection/transmission of radio signals. Research works in this area
Externí odkaz:
http://arxiv.org/abs/2408.15867
Publikováno v:
PMLR 84:948-957, 2018
We introduce an information theoretic criterion for Bayesian network structure learning which we call quotient normalized maximum likelihood (qNML). In contrast to the closely related factorized normalized maximum likelihood criterion, qNML satisfies
Externí odkaz:
http://arxiv.org/abs/2408.14935
While the robustness of rate-splitting multiple access (RSMA) to imperfect channel state information (CSI) is well-documented, its susceptibility to attacks launched with malicious reconfigurable intelligent surfaces (RISs) remains unexplored. This p
Externí odkaz:
http://arxiv.org/abs/2408.13035
We extend Ravagnani's MacWilliams duality theory to the settings of rank metric codes over finite chain rings, relating the sequences of $q$-binomial moments of a rank metric code over this class of rings with those of its dual.
Externí odkaz:
http://arxiv.org/abs/2408.03237
Autor:
Raghuwanshi, Prasoon, López, Onel Luis Alcaraz, Mehta, Neelesh B., Alves, Hirley, Latva-aho, Matti
Efficient Random Access (RA) is critical for enabling reliable communication in Industrial Internet of Things (IIoT) networks. Herein, we propose a deep reinforcement learning based distributed RA scheme, entitled Neural Network-Based Bandit (NNBB),
Externí odkaz:
http://arxiv.org/abs/2407.16877
The global 6G vision has taken its shape after years of international research and development efforts. This work culminated in ITU-R's Recommendation on "IMT-2030 Framework". While the definition phase of technological requirements is currently ongo
Externí odkaz:
http://arxiv.org/abs/2407.09398