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Beyond 5G Fronthaul Based on FSO Using Spread Spectrum Codes and Graphene Modulators
Daniel Neves1, Anderson Sanches2, Rafael Nobrega2
1Electrical Engineering Department, Federal University of Ceara, Fortaleza 60020-181, Brazil.
This study introduces a novel mobile fronthaul network using free-space optics and graphene modulators for secure, high-speed data transmission. The optimized design achieves high efficiency and supports dense small cells for next-gen mobile systems.
Area of Science:
- Telecommunications Engineering
- Materials Science
- Optical Communications
Background:
- Next-generation mobile systems require enhanced data rates, security, and energy efficiency.
- Dense small cell architectures are crucial for scaling mobile network performance.
- Free-space optical (FSO) technologies are gaining interest for high-speed communication.
Purpose of the Study:
- To propose a novel mobile fronthaul network architecture.
- To integrate FSO, spread spectrum codes, and graphene modulators for dense small cells.
- To enhance data security and energy efficiency in mobile networks.
Main Methods:
- Developed a fronthaul network architecture utilizing FSO transmitters.
- Employed spread spectrum codes for enhanced data security.
- Designed and optimized an energy-efficient graphene modulator for data transmission.
- Integrated forward error correction for reliable data transfer.
Main Results:
- The proposed network supports up to 32 remote antennas with error-free transmission.
- The optimized graphene modulator achieves an energy efficiency of 4.6 fJ/bit.
- High-speed performance up to 42.6 GHz was demonstrated.
- The modulator design significantly reduced graphene material usage by 75%.
Conclusions:
- The novel mobile fronthaul network effectively addresses the demands of next-generation mobile systems.
- Graphene modulators offer a highly energy-efficient and high-performance solution for optical fronthaul.
- The integration of FSO and advanced modulation techniques enables secure and scalable mobile communication.
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