Nanophotonic Devices for Radio Over Fiber Technologies in Telecommunications Networks
- Title
- Nanophotonic Devices for Radio Over Fiber Technologies in Telecommunications Networks
- Abstract
-
Background: The combination of nanophotonic devices with Radio Over Fibre (RoF)
technology has the potential to enhance telecommunications networks significantly. RoF
technology, known for its ability to transport wireless data rapidly across optical fibres, has
challenges such as capacity limitations and latency issues. Nanophotonic devices overcome these
challenges using their small size and advanced ability to manipulate light. Objective: This study
aims to investigate the capability of nanophotonic devices to improve the performance of RoF
systems in telecommunications networks. It focuses on evaluating the system's energy efficiency,
bandwidth, and latency caused by these devices. Methodology: The effectiveness of RoF systems
combining various nanophotonic devices, including modulators, photonic crystals, and nanolasers,
was assessed using experimental and computational methods. The research included quantifying
and examining pivotal performance metrics, such as the mitigation of delay, the minimization of
energy usage, and the augmentation of bandwidth. Results: Integrating nanophotonic devices into RoF systems led to significant improvements, including a substantial increase in bandwidth, a
decrease in latency, and an upgrade in energy efficiency. The progress above may be attributed
to the nanophotonic devices' enhanced modulation and signal processing capability. Conclusion:
Nanophotonic devices offer a practical alternative to the current limitations of RoF technology in
telecommunications networks. Integrating these components into RoF systems can significantly
enhance network performance, making it a promising path for developing telecommunications
infrastructure in the future. Further investigation is recommended to explore the practicality of
incorporating these devices into real-world networks and to ascertain their scalability. - Scientific Type
- غير معروف
- Journal volume
- Volume 16, Issue 5
- Collaboration type
- مشترك
- Publish Date
- September 6, 2024
- Participated Universities (Publication)
-
Alnoor University
- Scopus status
- In Scopus
- Scopus index year
- 2 024
- Scopus quarter
- 4
- Scopus citation score
- 0.5
- Clarivate status
- Not In Clarivate
- Pub. Med. status
- Not In PubMed
- Author (Publication)
- سلامة ادريس مصطفى ؟
- Journal (Publication)
-
Radioelektronika, Nanosistemy, Informacionnye Tehnologii
- Publisher (Publication)
- Russian Academy of Natural Science
- ISSN
- 2218-3000
- Country (Publication)
-
Russian
- Country type
- عالمية
- College (Publication)
-
College of Engineering
- Departement (Publication)
-
Department of AI engineering
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