Zobrazeno 1 - 10
of 164
pro vyhledávání: '"McLernon, Des"'
The rapid growth of Internet of Things (IoT) devices has generated vast amounts of data, leading to the emergence of federated learning as a novel distributed machine learning paradigm. Federated learning enables model training at the edge, leveragin
Externí odkaz:
http://arxiv.org/abs/2311.01186
Federated Learning (FL) has emerged as a promising approach for privacy preservation, allowing sharing of the model parameters between users and the cloud server rather than the raw local data. FL approaches have been adopted as a cornerstone of dist
Externí odkaz:
http://arxiv.org/abs/2304.13549
In most existing grant-free (GF) studies, the two key tasks, namely active user detection (AUD) and payload data decoding, are handled separately. In this paper, a two-step dataaided AUD scheme is proposed, namely the initial AUD step and the false a
Externí odkaz:
http://arxiv.org/abs/2207.12830
While Doppler resilient complementary waveforms have previously been considered to suppress range sidelobes within a Doppler interval of interest in radar systems, their capability of Doppler resilience has not been fully utilized. In this paper, a n
Externí odkaz:
http://arxiv.org/abs/2101.09454
Autor:
Liu, Jun, Mei, Kai, Zhang, Xiaochen, McLernon, Des, Ma, Dongtang, Wei, Jibo, Zaidi, Syed Ali Raza
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking, 2021
Multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is a key technology component in the evolution towards cognitive radio (CR) in next-generation communication in which the accuracy of timing and frequency synchroni
Externí odkaz:
http://arxiv.org/abs/2007.09248
Fusion Rules for Distributed Detection in Clustered Wireless Sensor Networks with Imperfect Channels
Autor:
Aldalahmeh, Sami A., Al-Jazzar, Saleh O., McLernon, Des, Zaidi, Syed Ali Raza, Ghogho, Mounir
In this paper we investigate fusion rules for distributed detection in large random clustered-wireless sensor networks (WSNs) with a three-tier hierarchy; the sensor nodes (SNs), the cluster heads (CHs) and the fusion center (FC). The CHs collect the
Externí odkaz:
http://arxiv.org/abs/1902.03990
In this paper, we present a detailed analysis of the coverage and spectral efficiency of a downlink cellular network. Rather than relying on the first order statistics of received signal-to-interference-ratio (SIR) such as coverage probability, we fo
Externí odkaz:
http://arxiv.org/abs/1808.05894
Autor:
Licea, Daniel Bonilla, McLernon, Des, Ghogho, Mounir, Nurellari, Edmond, Zaidiz, Syed Ali Raza
Small scale fading makes the wireless channel gain vary significantly over small distances and in the context of classical communication systems it can be detrimental to performance. But in the context of mobile robot (MR) wireless communications, we
Externí odkaz:
http://arxiv.org/abs/1805.08108
Autor:
Orozco-Lugo, Aldo G., McLernon, Des C., Lara, Mauricio, Zaidi, Syed Ali Raza, González, Brenda J., Illescas, Omar, Pérez-Macías, César I., Nájera-Bello, Valentín, Balderas, José Alberto, Pizano-Escalante, José L., Perera, Carlos Mex, Rodríguez-Vázquez, Refugio
Publikováno v:
In Internet of Things May 2022 18
In this paper, we develop a comprehensive analytical framework for cache enabled cellular networks overlaid with coordinated device-to-device (D2D) communication. We follow an approach similar to LTE Direct, where the base station (BS) is responsible
Externí odkaz:
http://arxiv.org/abs/1608.03429