Cosine Phase Based Representation of Signals for Remote Monitoring in Multiuser Wireless Networks

In this paper, we investigate a novel representation of a band-limited and continuous-time signal using a sequence of impulses or events. To begin with, we evaluate the mean squared error between the original signal and its reconstructed version assuming that: (i) the signal samples are transmitted at the Shannon channel capacity; (ii) the signal representation using the cosine phase method is done before its transmission. The proposed approach is then compared with an existing approach based on the signal transmission of quantized samples. Finally, we provide some representative examples through Monte Carlo simulations, consistently revealing the superiority of the proposed signal representation approach over the existing one regarding transmission bandwidth and peak-to-peak value of the original signal.

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Published
2025-05-26
DOI
https://doi.org/10.23919/wiopt66569.2025.11123398
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Cosine Phase Based Representation of Signals for Remote Monitoring in Multiuser Wireless Networks

Jules M. Moualeu, Nicola Marchetti, Pedro H. J. Nardelli, Pedro E. Gória Silva et al.
Non-Invasive Vital Sign Monitoring
article

Cosine Phase Based Representation of Signals for Remote Monitoring in Multiuser Wireless Networks

Jules M. Moualeu, Nicola Marchetti, Pedro H. J. Nardelli, Pedro E. Gória Silva, Rausley A. A. de Souza, Daniel Gutiérrez-Rojas
article en

Abstract

In this paper, we investigate a novel representation of a band-limited and continuous-time signal using a sequence of impulses or events. To begin with, we evaluate the mean squared error between the original signal and its reconstructed version assuming that: (i) the signal samples are transmitted at the Shannon channel capacity; (ii) the signal representation using the cosine phase method is done before its transmission. The proposed approach is then compared with an existing approach based on the signal transmission of quantized samples. Finally, we provide some representative examples through Monte Carlo simulations, consistently revealing the superiority of the proposed signal representation approach over the existing one regarding transmission bandwidth and peak-to-peak value of the original signal.

Trinity College Dublin (IE), Lappeenranta-Lahti University of Technology (FI), National Institute of Telecommunications (BR)
Openalex Percentile: Top 79%
Non-Invasive Vital Sign Monitoring
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