[HTML][HTML] When 5G meets deep learning: a systematic review

GL Santos, PT Endo, D Sadok, J Kelner - Algorithms, 2020 - mdpi.com
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …

Deep learning enhanced NOMA system: A survey on future scope and challenges

V Andiappan, V Ponnusamy - Wireless Personal Communications, 2022 - Springer
As a key important approach for next generation communication systems, Non-Orthogonal
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …

Beam illumination pattern design in satellite networks: Learning and optimization for efficient beam hopping

LEI Lei, E Lagunas, Y Yuan, MG Kibria… - IEEE …, 2020 - ieeexplore.ieee.org
Beam hopping (BH) is considered to provide a high level of flexibility to manage irregular
and time-varying traffic requests in future multi-beam satellite systems. In BH optimization …

Joint resource management for MC-NOMA: A deep reinforcement learning approach

S Wang, T Lv, W Ni, NC Beaulieu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper presents a novel and effective deep reinforcement learning (DRL)-based
approach to addressing joint resource management (JRM) in a practical multi-carrier non …

Energy minimization in UAV-aided networks: Actor-critic learning for constrained scheduling optimization

Y Yuan, L Lei, TX Vu, S Chatzinotas… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In unmanned aerial vehicle (UAV) applications, the UAV's limited energy supply and storage
have triggered the development of intelligent energy-conserving scheduling solutions. In this …

NOMA-enabled multi-beam satellite systems: Joint optimization to overcome offered-requested data mismatches

A Wang, L Lei, E Lagunas… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has potentials to improve the performance of multi-
beam satellite systems. The performance optimization in satellite-NOMA systems could be …

The role of deep learning in NOMA for 5G and beyond communications

MK Hasan, M Shahjalal, MM Islam… - … in Information and …, 2020 - ieeexplore.ieee.org
In the coming future, it is obvious that the wireless networks will be congested with massive
amounts of data traffic with the increasing number of users. Current multiple access …

Deep learning based power optimizing for NOMA based relay aided D2D transmissions

Z Ali, GAS Sidhu, F Gao, J Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The future generation of wireless communication networks demands for high spectral
efficiency to accommodate a large number of devices over the limited available frequency …

Deep learning-based NOMA system for enhancement of 5G networks: A review

RK Senapati, PJ Tanna - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
The fresh and rising demands for high-reliability and ultrahigh-capacity wireless
communication have led to extensive research into 5G communications. The wide progress …

Deep learning for beam hopping in multibeam satellite systems

L Lei, E Lagunas, Y Yuan, MG Kibria… - 2020 IEEE 91st …, 2020 - ieeexplore.ieee.org
Data-driven approaches, eg, deep learning (DL), have been widely studied in terrestrial
wireless communications fields, proving the benefits and potentials of such techniques. In …