Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …
Grant-free non-orthogonal multiple access for IoT: A survey
MB Shahab, R Abbas… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Massive machine-type communications (mMTC) is one of the main three focus areas in the
5th generation (5G) of wireless communications technologies to enable connectivity of a …
5th generation (5G) of wireless communications technologies to enable connectivity of a …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
Adaptive spatial modulation MIMO based on machine learning
In this paper, we propose a novel framework of low-cost link adaptation for spatial
modulation multiple-input multiple-output (SM-MIMO) systems-based upon the machine …
modulation multiple-input multiple-output (SM-MIMO) systems-based upon the machine …
Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …
(AI)-based antenna design and optimization for wireless communications. Machine learning …
A survey on improving the wireless communication with adaptive antenna selection by intelligent method
CH Wu, CF Lai - Computer Communications, 2022 - Elsevier
Transmission applications in wireless networks have brought unprecedented demands. The
demand for high-performance wireless transmission is increasing day by day. Antenna …
demand for high-performance wireless transmission is increasing day by day. Antenna …
Detection techniques for massive machine-type communications: Challenges and solutions
Massive machine-type communications (mMTC) is one of the key application scenarios of
fifth generation (5G) and beyond cellular networks. Bringing the unique technical challenge …
fifth generation (5G) and beyond cellular networks. Bringing the unique technical challenge …
Enhanced NOMA system using adaptive coding and modulation based on LSTM neural network channel estimation
Non-orthogonal multiple access (NOMA) is the technique proposed for multiple access in
the fifth generation (5G) cellular network. In NOMA, different users are allocated different …
the fifth generation (5G) cellular network. In NOMA, different users are allocated different …
Efficient user clustering using a low-complexity artificial neural network (ANN) for 5G NOMA systems
SP Kumaresan, CK Tan, YH Ng - IEEE Access, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has gained considerable interest from the 3GPP
community as a potential radio access strategy for the future fifth-generation (5G) wireless …
community as a potential radio access strategy for the future fifth-generation (5G) wireless …