Cooperative NOMA-enabled SWIPT IoT networks with imperfect SIC: Performance analysis and deep learning evaluation
In this article, we propose a cooperative nonorthogonal multiple access (NOMA)-enabled
simultaneous wireless information and power transfer (SWIPT) Internet of Things (IoT) …
simultaneous wireless information and power transfer (SWIPT) Internet of Things (IoT) …
Cooperative power-domain NOMA systems: an overview
Interference has been a key roadblock against the effectively deployment of applications for
end-users in wireless networks including fifth-generation (5G) and beyond fifth-generation …
end-users in wireless networks including fifth-generation (5G) and beyond fifth-generation …
An overview of machine learning-based techniques for solving optimization problems in communications and signal processing
H Dahrouj, R Alghamdi, H Alwazani… - IEEE …, 2021 - ieeexplore.ieee.org
Despite the growing interest in the interplay of machine learning and optimization, existing
contributions remain scattered across the research board, and a comprehensive overview …
contributions remain scattered across the research board, and a comprehensive overview …
Blockchain management and machine learning adaptation for IoT environment in 5G and beyond networks: A systematic review
Keeping in view of the constraints and challenges with respect to big data analytics along
with security and privacy preservation for 5G and B5G applications, the integration of …
with security and privacy preservation for 5G and B5G applications, the integration of …
No-pain no-gain: DRL assisted optimization in energy-constrained CR-NOMA networks
This paper applies machine learning to optimize the transmission policies of cognitive radio
inspired non-orthogonal multiple access (CR-NOMA) networks, where time-division multiple …
inspired non-orthogonal multiple access (CR-NOMA) networks, where time-division multiple …
Performance analysis and deep learning design of underlay cognitive NOMA-based CDRT networks with imperfect SIC and co-channel interference
In this paper, we investigate an underlay cognitive non-orthogonal multiple access (NOMA)-
based coordinated direct and relay transmission network with imperfect successive …
based coordinated direct and relay transmission network with imperfect successive …
The Hexa-X project vision on Artificial Intelligence and Machine Learning-driven Communication and Computation co-design for 6G
This paper provides an overview of the most recent advancements and outcomes of the
European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) …
European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) …
The frontiers of deep reinforcement learning for resource management in future wireless HetNets: Techniques, challenges, and research directions
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
The convergence of blockchain, IoT and 6G: Potential, opportunities, challenges and research roadmap
Abstract 6G networks envisioned being the game changer in next generation wireless
communication systems that will address the challenges of limited information speed …
communication systems that will address the challenges of limited information speed …
Wireless for machine learning: A survey
As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …