Výsledky vyhledávání - "Mohammad Hassan Adeli"

Multi-cell Non-coherent Over-the-Air Computation for Federated Edge Learning

Autor: Mohammad Hassan Adeli, Alphan Sahin

In this paper, we propose a framework where over-the-air computation (OAC) occurs in both uplink (UL) and downlink (DL), sequentially, in a multi-cell environment to address the latency and the scalability issues of federated edge learning (FEEL). To

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bf6852c0f7b22c4e5137b6d9cf74625

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Pushing IoT Mobility Management to the Edge : Granting RPL Accurate Localization and Routing

Autor: Hossein Fotouhi, Shunmuga Priyan Selvaraju, Iliar Rabet, Ali Balador, Mário Alves, Mohammad Hassan Adeli, Mats Bjorkman, Maryam Vahabi

Publikováno v: WF-IoT

Accurate and timely mobility support in Internet of Things (IoT) applications is a challenging issue, considering the inherent scarce resources of IoT devices. However, the computational, memory and communication burden may be pushed into more ”mus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a668fa2b37b1a97a0ba9822af354e0b
http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54292

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Optimization of probability of error in collaborative spectrum sensing of time-limited cognitive radio networks

Autor: Fariba Mohammadian, Tamer Khattab, Abbas Taherpour, Mohammad Hassan Adeli

Publikováno v: CCECE

We study the probability of error optimization problem in collaborative spectrum sensing (CSS) with limited time resources in cognitive radio (CR) networks. The frame structures for sensing and data transmission, if the spectrum is identified as vaca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a155a4cf9be721a51018cd4ec43bfd90
https://doi.org/10.1109/ccece.2016.7726603

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Optimized collaborative spectrum sensing in energy harvesting cognitive radio networks

Autor: Mohammad Hassan Adeli, Fariba Mohammadian, Tamer Khattab, Abbas Taherpour

Publikováno v: WCNC

We study the probability of error optimization problem in collaborative spectrum sensing (CSS) with limited time and energy resources in energy harvesting cognitive radio (CR) networks. The frame structures for sensing and data transmission, if the s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d358edfed51a578b80c8b859d86a0417
https://doi.org/10.1109/wcnc.2016.7564792

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