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Designing Low-Latency Terahertz Communication Systems for High-Capacity 6G Networks |
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PP: 1291-1305 |
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doi:10.18576/amis/200514
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Author(s) |
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Ghaida Muttshar Abdulsahib,
Zaid Ali Hussein Albu-Mohammed,
Osamah Ibrahim Khalaf,
Ahmed A. F. Osman,
Mohammed Awad Mohammed Ataelfadiel,
Theyazn H. H. Aldhyani,
Moselh Hmoud Al-Adhaileh,
Dac-Nhuong Le,
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Abstract |
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| To accommodate ultra-reliable, low-latency, and high-capacity wireless networks capable of meeting the low-latency demands of data-intensive applications like augmented reality (AR), virtual reality (VR), autonomous vehicles, industrial IoT applications, etc. Network needs such as these are targeted to be addressed by sixth-generation (6G) networks, based on terahertz (THz) communication, through unprecedented bandwidth, data transfer speeds, etc., overcoming challenges like severe propagation losses, energy inefficiency, hardware limitations, and scalability constraints. In this study, we propose a comprehensive framework for low-latency and energy- efficient THz communication systems for 6G networks, considering hybrid beamforming, ML-driven resource optimization, and renewable energy features including a solar-powered THz device and an antenna-based energy harvester, which will be included as a part of this framework. Additionally, real-world environmental factors such as molecular absorption and scattering, as well as atmospheric humidity and temperature, are considered in a novel channel model to guarantee the prediction of signal behavior in propagation. The results of the simulation show up to a 40% reduction in latency, 30% in energy efficiency, and spectral efficiency of 12 bps/Hz, much superior to baseline systems, and support the hypothesis for its applicability in various 6G use cases such as smart city infrastructure, communication for autonomous vehicles, and AR/VR applications. We conclude with these findings that establish the potential of the proposed framework to solve principal problems for scalability, sustainability, and reliability for future 6G networks and present future work on live network testing and large-scale deployment scenarios whereby the foundations of the framework can be developed in solving several core issues with the deployment of high-performance 6G communication systems. |
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