Optical communication infrastructure in new generation mobile networks
M Yücel, M Açikgöz - Fiber and Integrated Optics, 2023 - Taylor & Francis
In this study, predictions by leading network technology companies and current literature on
5 G technologies have been investigated to shed a light on the foreseeable future of the …
5 G technologies have been investigated to shed a light on the foreseeable future of the …
A neural network-aided detection scheme for index-modulation dcsk system
The accuracy of index-bit detection greatly affects the overall bit-error-rate (BER)
performance of index modulation aided differential chaos shift keying (IM-DCSK). To …
performance of index modulation aided differential chaos shift keying (IM-DCSK). To …
Deep learning-based signal detection for underwater acoustic otfs communication
Orthogonal time frequency space (OTFS) is a novel two-dimensional (2D) modulation
technique that provides reliable communications over time-and frequency-selective …
technique that provides reliable communications over time-and frequency-selective …
Data aided channel estimation for MIMO-OFDM wireless systems using reliable carriers
I Khan, M Cheffena, MM Hasan - IEEE Access, 2023 - ieeexplore.ieee.org
Wireless channel estimation is one of the challenging problems in multiple input multiple
output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The …
output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The …
Key Technologies for 6G-Enabled Smart Sustainable City
With the advancement of information and communication technologies (ICTs), the way we
live and communicate with each other is changing rapidly. As urban environments continue …
live and communicate with each other is changing rapidly. As urban environments continue …
Co-frequency interference analysis and avoidance between NGSO constellations: Challenges, techniques, and trends
Y He, Y Li, H Yin - China Communications, 2023 - ieeexplore.ieee.org
In recent years, as giant satellite constellations grow rapidly worldwide, the co-existence
between constellations has been widely concerned. In this paper, we overview the co …
between constellations has been widely concerned. In this paper, we overview the co …
Deep unfolding for cooperative rate splitting multiple access in hybrid satellite terrestrial networks
Q Zhang, L Zhu, S Jiang, X Tang - China Communications, 2022 - ieeexplore.ieee.org
Rate splitting multiple access (RSMA) has shown great potentials for the next generation
communication systems. In this work, we consider a two-user system in hybrid satellite …
communication systems. In this work, we consider a two-user system in hybrid satellite …
Deep Learning Methods for Secure IoT SWIPT Networks
V Ganapathy, R Ramachandran… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this article, a deep-network (DQN)-based approach is proposed to improve the harvested
energy and the secrecy capacity by optimizing the beamforming vectors in multiple-input …
energy and the secrecy capacity by optimizing the beamforming vectors in multiple-input …
Deep learning-based symbol detection for time-varying nonstationary channels
The highly dynamic channel (HDC) in an extremely dynamic environment mainly has fast
time-varying nonstationary characteristics. In this article, we focus on the most difficult HDC …
time-varying nonstationary characteristics. In this article, we focus on the most difficult HDC …
Learning-based joint service caching and load balancing for MEC blockchain networks
Integrating the blockchain technology into mobile-edge computing (MEC) networks with
multiple cooperative MEC servers (MECS) providing a promising solution to improving …
multiple cooperative MEC servers (MECS) providing a promising solution to improving …