AIDETECT-AI-based Integratable Detection for Beyond 5G Networks

MY Daha, J Rafferty, MI Ashraf… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The integration of Artificial Intelligence (AI) technologies has revolutionized wireless
communication in Multiple Input Multiple Output (MIMO) systems. However, signal detection …

Exploiting Intelligent Reflecting Surface for Wireless Power Transfer via Optimization and Deep Learning Approaches

PV Tuan, VAN Quan, PN Son… - ECTI Transactions on …, 2023 - ph02.tci-thaijo.org
In this paper, the wireless power transfer system with intelligent reflecting surface (IRS)
assistance is studied to maximize the total harvested power at multiple users. The near …

A Secure Deep Autoencoder-based 6G Channel Estimation to Detect/Mitigate Adversarial Attacks

HW Oleiwi, DN Mhawi… - 2023 5th Global Power …, 2023 - ieeexplore.ieee.org
Channel estimation (CE) is critical in wireless communications. However, it is vulnerable to
adversarial attacks (AA) that are associated with the incorporated artificial intelligence (AI) …

[PDF][PDF] ENHANCING BEAMFORMING AND INTELLIGENT BEAM SELECTION FOR MILLIMETER-WAVE COMMUNICATION USING ADAPTIVE BEAMFORMING …

LL Scientific - Journal of Theoretical and Applied Information …, 2024 - jatit.org
In the rapidly evolving landscape of mobile telecommunication, the optimization of
beamforming strategies stands as a critical element for ensuring the efficiency and …

Energy-Efficient AI Models for 6G Base Station

MK Munif, MR Karmakar, SA Tusi, B Sarker… - … on Intelligent Computing …, 2023 - Springer
An intelligent base station is designed to use artificial intelligence (AI) and machine learning
techniques to optimize its performance and improve overall energy efficiency. It is unclear …

Performance of a Neural Network Receiver under Mismatch of Channel Training Samples

PHC De Souza, LL Mendes… - 2022 IEEE Future …, 2022 - ieeexplore.ieee.org
Data-driven frameworks for wireless communications systems are currently attracting a lot of
attention from researchers and practitioners alike. These frameworks based on machine …

[PDF][PDF] Evaluating Sensitivity and Stability in Secure Deep Learning Based Channel Estimation for NextG Networks with Defensive Distillation

JR Duddela, R Padmasree, M Yellagalla, S Anupa - 2024 - researchgate.net
In the domain of wireless networks, including 5G and beyond, envisions a highly
interconnected environment, enabling swift data transmission, expanded cell capacity, and …

Towards real-time, machine learning enhanced signal detection in 5G-NR

S Brennsteiner - 2023 - era.ed.ac.uk
Mobile communication technology is essential in our connected society. In 2022, the
deployment of the 5th Generation New Radio (5G-NR) standard is well on its way in many …

Leveraging Deep Learning for MmWave Channel Impulse Response Prediction

M Sharique, MS Ansari, C Gangal - The International Conference of …, 2022 - Springer
In communication systems research, wireless channel estimation is a challenging problem
due to the dual requirements of real-time implementation and high estimation accuracy. This …

6G Technologies: Key Features, Challenges, Security and Privacy Issues

N Arastouei - International Workshop on Digital Sovereignty in Cyber …, 2022 - Springer
This paper provides a comprehensive overview of the sixth-generation (6G) networks. 6G
with cheap and fast internet technology, connectivity without distances between people, and …