FSO-Based Vertical Backhaul/Fronthaul Framework for 5G+ Wireless Networks
Open accessAbstract
The presence of a super high rate, but also cost-efficient, easy-to-deploy, and scalable, backhaul/fronthaul framework, is essential in the upcoming 5G wireless networks and beyond. Motivated by the mounting interest in unmanned flying platforms of various types, including UAVs, drones, balloons, and HAPs/MAPs/LAPs, which we refer to as networked flying platforms (NFPs), for providing communications services, and by the recent advances in free space optics (FSO), this article investigates the feasibility of a novel vertical backhaul/fronthaul framework where the NFPs transport the backhaul/fronthaul traffic between the access and core networks via point-to- point FSO links. The performance of the proposed innovative approach is investigated under different weather conditions and a broad range of system parameters. Simulation results demonstrate that the FSO-based vertical backhaul/fronthaul framework can offer data rates higher than the baseline alternatives, and thus can be considered a promising solution to the emerging backhaul/fronthaul requirements of the 5G+ wireless networks, particularly in the presence of ultra-dense heterogeneous small cells. This article also presents the challenges that accompany such a novel framework and provides some key ideas toward overcoming these challenges.
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Scenarios for 5G mobile and wireless communications: the vision of the METIS project
Osseiran, A., Boccardi, F., Braun, V., Kusume, K., Marsch, P., Maternia, M., Queseth, O., Schellmann, M., Schotten, H. D., Taoka, H., et al. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6815890 · Cited by 2,004 · see citing works
Optical Communication in Space: Challenges and Mitigation Techniques
Kaushal, H., & Kaddoum, G. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2603518 · Cited by 1,927 · see citing works
5G wireless backhaul networks: challenges and research advances
Ge, X., Cheng, H., Guizani, M., & Han, T. (2014) · IEEE Network · doi:10.1109/mnet.2014.6963798 · Cited by 581 · see citing works
Austin, R. (2010) · Wiley eBooks · doi:10.1002/9780470664797 · Cited by 538 · see citing works
Unmanned Aircraft Systems: Uavs Design, Development And Deployment
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The New Frontier in RAN Heterogeneity: Multi-Tier Drone-Cells
Bor-Yaliniz, I., & Yanıkömeroğlu, H. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.1600178cm · Cited by 451 · see citing works
Free-space laser communication performance in the atmospheric channel
Majumdar, A. K. (2005) · Journal of Optical and Fiber Communications Reports · doi:10.1007/s10297-005-0054-0 · Cited by 380 · see citing works
Wireless backhauling of 5G small cells: challenges and solution approaches
Siddique, U., Tabassum, H., Hossain, E., et al. (2015) · IEEE Wireless Communications · doi:10.1109/mwc.2015.7306534 · Cited by 307 · see citing works
Channel modeling for terrestrial free space optical links
Muhammad, S. S., Köhldorfer, P., & Leitgeb, E. (2005) · doi:10.1109/icton.2005.1505832 · Cited by 183 · see citing works
Cost-effective hybrid RF/FSO backhaul solution for next generation wireless systems
Dahrouj, H., Douik, A., Rayal, F., Al-Naffouri, T. Y., & Alouini, M. (2015) · IEEE Wireless Communications · doi:10.1109/mwc.2015.7306543 · Cited by 137 · see citing works
Self-citationCloud attenuations for free-space optical links
Awan, M. S., Marzuki, M., Leitgeb, E., et al. (2009) · International Workshop on Satellite and Space Communications · doi:10.1109/iwssc.2009.5286364 · Cited by 73 · see citing works
Free Space Optical Networks for Ultra‐Broad Band Services
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Fog attenuation dependence on atmospheric visibility at two wavelengths for FSO link planning
Grábner, M., & Kvičera, V. (2010) · Loughborough Antennas & Propagation Conference (LAPC) · doi:10.1109/lapc.2010.5666176 · Cited by 46 · see citing works
Spectrum policy challenges of UAV/drones [Spectrum Policy and Regulatory Issues]
Marcus, M. J. (2014) · IEEE Wireless Communications · doi:10.1109/mwc.2014.6940426 · Cited by 32 · see citing works
Optimizing placements of backhaul hubs and orientations of antennas in small cell networks
Karamad, E., Adve, R., Lostanlen, Y., et al. (2015) · doi:10.1109/iccw.2015.7247157 · Cited by 17 · see citing works
Rain impact on FSO link attenuation based on theory and measurement
Brázda, V., Schejbal, V., & Fišer, O. (2012) · European Conference on Antennas and Propagation · doi:10.1109/eucap.2012.6206120 · Cited by 13 · see citing works
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Epple, B. (2010) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/glocomw.2010.5700096 · Cited by 7 · see citing works
D'Agostino, D. M., Mark, A. F., Camarillo, Y. C., et al. (2011) · Cited by 6 · see citing works
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- Authors
- Alzenad, M., Shakir, M. Z., Yanikomeroglu, H., & Alouini, M.-S.
- Affiliations
- Carleton University (CA)
- University of the West of Scotland (GB)
- King Abdullah University of Science and Technology (SA)
- Venue
- IEEE Communications Magazine
- Published
- 2018-01
- Volume
- 56
- Issue
- 1
- Pages
- 218-224
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2461220469
- Cited by
- 49
- References
- 18
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 3 · 2022: 6 · 2021: 8 · 2020: 7 · 2019: 7 · 2018: 7 · 2017: 5 · 2016: 1
- FWCI
- 2.77
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE Communications Magazine (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Ministry of Higher Education and Scientific Research
- Ministero dello Sviluppo Economico
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optical Wireless Communication Technologies
- Physical Sciences › Engineering › Aerospace Engineering › UAV Applications and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Photonic Communication Systems
- Keywords
- free-space optical communication, fronthaul, 5G, unmanned aerial vehicles, high-altitude platforms
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