This survey provides a comprehensive comparative analysis of IDS approaches based on ML, Deep Learning (DL), and Federated Learning (FL), and analyzed these methods not only by detection performance but also according to crucial operational metrics, such as system complexity and applicability in NRT scenarios.
Anjum Naveed, A. Marotta, W. Tiberti et al.· IEEE Open Journal of the Com...· 0 citations
This paper investigates a two-user uplink non-orthogonal multiple access (NOMA) system operating over narrowband fading channels. Both users transmit simultaneously on the same resource, generating mutual interference at two spatially separated base stations (BSs). To improve reliability under fading and asymmetric lin...
P. Terzano, Daniele Ferretti, Giuseppe Pettanice et al.· IEEE International Symposium...· 0 citations
This architecture evaluates the actual control impact of a packet using the state-to-error ratio (SER) to orchestrate a threshold-based sensor push and a state-aware controller pull mechanism that achieves tracking accuracy comparable to periodic schedulers at a reduced communication overhead.
M. Khan, Y. Z. Lun, Aamir Mahmood et al.· 0 citations
Simulation results confirm that integrating EE with edge computing significantly improves the trade-off between inference accuracy and latency, achieving up to 212% improvement in the average task completion ratio compared to edge computing systems without EE, under the considered simulation settings.
Simone Angelucci, R. Valentini, M. Levorato et al.· Comput. Networks· 0 citations
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