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Joint Communications and Sensing including Quantum and AI Techniques for Optical Wireless Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 1383

Special Issue Editor


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Guest Editor
Department of Communications Engineering, University of Malaga, E-29071 Malaga, Spain
Interests: sensing; photonics; quantum; wireless; fiber; semantic; AI; QKD; THz; FSO

Special Issue Information

Dear Colleagues,

Today’s highly reliable communication and information connectivity of the digital society and the easy exchange of ideas via electromagnetic signals are largely due to an advanced holistic telecommunications infrastructure. Next generation systems will eventually introduce the symbiosis of communication and sensing as a new networking capability. Such a new capability leverages both communication and sensing technologies in a single system, giving rise to the concept of ‘Joint Communications and Sensing’. The inclusion of sensing capabilities in a communication network is not only promising, but also presents many opportunities and challenges.

A wide range of technologies can be used to integrate both communication and sensing functionalities in a single system, enabling many new use cases. From classical technologies such as radar to quantum and AI, to name but a few. This Special Issue will explore the wide range of enabling technologies for joint communication and sensing in optical wireless systems, considering future trends and use cases. Topics of interest include but are not limited to the following technologies and areas:

  • Chirp modulation, photonics including LiDAR, joint communication and radar sensing
  • AI/ML and its branches, large language models and transformers techniques
  • Optical fiber and FSO technologies, quantum and QKD techniques
  • Semantic communication and optical wireless convergence
  • Localization, sensing, and tracking scenarios
  • Millimeter-wave, sub-THz, and THz techniques

Dr. Thiago Roberto Raddo
Guest Editor

Manuscript Submission Information

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Keywords

  • sensing
  • photonics
  • quantum
  • wireless
  • fiber
  • semantic
  • AI
  • QKD
  • THz
  • FSO

Published Papers (1 paper)

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Research

20 pages, 4582 KiB  
Article
Integrated Sensor-Optics Communication System Using Bidirectional Fiber and FSO Channels and Hybrid Deep Learning Techniques
by Amare Mulatie Dehnaw, Yibeltal Chanie Manie, Li-Yuan Du, Cheng-Kai Yao, Jun-Wei Jiang, Bing-Xian Liu and Peng-Chun Peng
Sensors 2023, 23(20), 8434; https://doi.org/10.3390/s23208434 - 13 Oct 2023
Viewed by 1120
Abstract
This paper introduces a new bidirectional integration approach that combines fiber sensor/free space optics (FSO) communication using an intensity and wavelength division multiplexer (IWDM) techniques-based long-distance fiber Bragg grating (FBG) sensor strain-sensing system. By implementing coarse wavelength division multiplexing (CWDM), the system achieves [...] Read more.
This paper introduces a new bidirectional integration approach that combines fiber sensor/free space optics (FSO) communication using an intensity and wavelength division multiplexer (IWDM) techniques-based long-distance fiber Bragg grating (FBG) sensor strain-sensing system. By implementing coarse wavelength division multiplexing (CWDM), the system achieves the simultaneous transmission of optical communication and fiber optical sensor (FOS) sensing signals, resulting in a highly capable, flexible, and cost-effective solution. The proposed FSO transmission technique addresses complex fiber cable installation concerns with topographical limitations. This bidirectional structure ensures the reliability and stability of the long-distance FBG sensor system, supported by extensive research and experimentation. A hybrid stacked gated recurrent units and long short-term memory (SGRU-LSTM) model is proposed to enhance strain measurement accuracy by predicting and measuring the central wavelength of overlapped strain-sensing FBG sensor signals. The results demonstrate the superiority of the proposed model in peak wavelength detection accuracy. The primary benefit of integrating communication and sensing is the significant reduction in construction costs by eliminating the requirement for two individual fiber optic systems, as the integration allows for a single system to fulfill both functions, resulting in more efficient and cost-effective implementation. Overall, this paper contributes to advancing long-distance FBG sensor systems by integrating fiber sensor/FSO communication and deep learning techniques, improving transmission distance, multiplexing capacity, measurement accuracy, system survivability, and cost-effectiveness. Full article
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