Artificial Intelligence Empowered Multiple Access for Ultra Reliable and Low Latency THz Wireless Networks

AAA Boulogeorgos, E Yaqub, R Desai… - arXiv preprint arXiv …, 2022 - arxiv.org
Terahertz (THz) wireless networks are expected to catalyze the beyond fifth generation
(B5G) era. However, due to the directional nature and the line-of-sight demand of THz links …

Machine learning: A catalyst for THz wireless networks

AAA Boulogeorgos, E Yaqub, M Di Renzo… - Frontiers in …, 2021 - frontiersin.org
With the vision to transform the current wireless network into a cyber-physical intelligent
platform capable of supporting bandwidth-hungry and latency-constrained applications, both …

NextGen Granular Resource Management in the THz spectrum for Indoor and Outdoor Mobile Deployment

R Singh, D Sicker - Next Generation Wireless Terahertz …, 2021 - taylorfrancis.com
Terahertz spectrum offers a promising opportunity to explore an abundance of greenfield
spectrum for a variety of future applications. However, the THz spectrum faces many …

Intelligent terahertz medium access control (MAC) for highly dynamic airborne networks

L He, F Hu, Z Chu, J Zhao, Y Sagduyu… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
The terahertz (THz) link provides over 100 Gb/s of data transmission rate. However, it is
extremely vulnerable to obstacles and requires very narrow (highly directional) beams for …

Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service

J Du, C Jiang, J Wang, Y Ren… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …

Computer Vision-Aided Proactive Mobility Management for 6G Terahertz Communications

Y Ahn, J Kim, S Kim, B Shim - GLOBECOM 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Recently, terahertz (THz) communication supported by the ultra-dense network (UDN) has
received a great deal of attention as a means to satisfy stringent requirements in throughput …

Resource Allocation in THz-NOMA-Enabled HAP Systems: A Deep Reinforcement Learning Approach

M Le, QV Pham, QV Do, Z Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Aerial access networks have been considered as a key-enabling concept for addressing
emerging challenges of future 6G wireless networks. In this paper, we focus on using the …

Resource management for multiplexing eMBB and URLLC services over RIS-aided THz communication

H Zarini, N Gholipoor, MR Mili, M Rasti… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Integrating the multitude of emerging internet of things (IoT) applications with diverse
requirements in beyond fifth generation (B5G) networks necessitates the coexistence of …

Reinforcement learning for mitigating intermittent interference in terahertz communication networks

R Barazideh, O Semiari, S Niknam… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Emerging wireless services with extremely high data rate requirements, such as real-time
extended reality applications, mandate novel solutions to further increase the capacity of …

Uninterrupted connectivity time in THz systems under user micromobility and blockage

D Moltchanov, V Beschastnyi… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Terahertz (THz) band is considered as the main candidate for new radio access technology
in sixth-generation (6G) cellular systems. However, the performance of these systems will be …