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Article Dans Une Revue IEEE Internet of Things Magazine Année : 2024

Uncoordinated Spectrum Access for Massive Connectivity in IoT Applications

Résumé

Boosted by the Internet of Things (IoT), future cellular communication networks will be able to support new services with high social impact. Corresponding applications are expected to span almost every domain, especially the most critical ones, such as the medical field or smart factories. However, their adoption is conditioned by strict compliance with stringent quality of service (QoS) requirements for the underlying network. In particular, the achieved throughput and latency are of utmost importance for efficient monitoring with multiple sensors in a variety of application areas. In this paper, we propose an intelligent self-configurable system structure, achieved through resource allocation techniques using machine learning, and capable of flexibly fulfilling such requirements. In addition, special care was taken to minimize the transmit power of the IoT devices while efficiently supporting different application-dependent traffic types, an essential prerequisite for any wide adoption of such systems with massive network access.
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Dates et versions

hal-04335607 , version 1 (11-12-2023)

Identifiants

Citer

Joseph Doumit, Marie-Josépha Youssef, Charbel Abdel Nour, Joumana Farah, Catherine Douillard. Uncoordinated Spectrum Access for Massive Connectivity in IoT Applications. IEEE Internet of Things Magazine, 2024, 7 (2), pp.78-84. ⟨10.1109/IOTM.001.2300125⟩. ⟨hal-04335607⟩
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