[HTML][HTML] Issues, challenges, and research trends in spectrum management: A comprehensive overview and new vision for designing 6G networks
With an extensive growth in user demand for high throughput, large capacity, and low
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …
a key enabler and a leading infrastructure provider in the information and communication …
A survey of 5G network systems: challenges and machine learning approaches
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …
emerging services. These services bring new requirements and challenges that obstruct the …
Artificial intelligence in 5G technology: A survey
MEM Cayamcela, W Lim - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
A fully operative and efficient 5G network cannot be complete without the inclusion of
artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) …
artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Distributed optimal economic environmental dispatch for microgrids over time-varying directed communication graph
This paper investigates the combined economic environmental dispatch problem of
Microgrids in a distributed manner. In order to optimize the competing agminated operation …
Microgrids in a distributed manner. In order to optimize the competing agminated operation …
Reinforcement learning-based downlink interference control for ultra-dense small cells
The dense deployment of small cells in 5G cellular networks raises the issue of controlling
downlink inter-cell interference under time-varying channel states. In this paper, we propose …
downlink inter-cell interference under time-varying channel states. In this paper, we propose …
A comprehensive survey on spectrum sharing techniques for 5G/B5G intelligent wireless networks: Opportunities, challenges and future research directions
The increasing popularity of Internet of Everything and small-cell devices has enormously
accelerated traffic loads. Consequently, increased bandwidth and high data rate …
accelerated traffic loads. Consequently, increased bandwidth and high data rate …
ML-based radio resource management in 5G and beyond networks: A survey
In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
Achieving acceleration for distributed economic dispatch in smart grids over directed networks
In this paper, the economic dispatch problem (EDP) in smart grids is investigated over a
directed network, which concentrates on allocating the generation power among the …
directed network, which concentrates on allocating the generation power among the …