Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
A survey on 5G radio access network energy efficiency: Massive MIMO, lean carrier design, sleep modes, and machine learning
D López-Pérez, A De Domenico… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Cellular networks have changed the world we are living in, and the fifth generation (5G) of
radio technology is expected to further revolutionise our everyday lives by enabling a high …
radio technology is expected to further revolutionise our everyday lives by enabling a high …
AI-assisted network-slicing based next-generation wireless networks
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …
and various network resources renders next-generation wireless networks (NGWNs) highly …
Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges
Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …
A survey of blockchain and artificial intelligence for 6G wireless communications
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …
future mobile communication networks has been officially launched around the world. 6G …
Deep reinforcement learning with spatio-temporal traffic forecasting for data-driven base station sleep control
To meet the ever increasing mobile traffic demand in 5G era, base stations (BSs) have been
densely deployed in radio access networks (RANs) to increase the network coverage and …
densely deployed in radio access networks (RANs) to increase the network coverage and …
Cellular traffic prediction and classification: A comparative evaluation of LSTM and ARIMA
Prediction of user traffic in cellular networks has attracted profound attention for improving
the reliability and efficiency of network resource utilization. In this paper, we study the …
the reliability and efficiency of network resource utilization. In this paper, we study the …
Intelligent massive MIMO systems for beyond 5G networks: An overview and future trends
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …
potential of challenging large-scale problems in conventional massive multiple-input …
A review of machine learning techniques for enhanced energy efficient 5G and 6G communications
TP Fowdur, B Doorgakant - Engineering Applications of Artificial …, 2023 - Elsevier
Cellular technologies have evolved continuously from the 1st to the 5th generation (5G) to
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
Delay-sensitive energy-efficient UAV crowdsensing by deep reinforcement learning
Mobile crowdsensing (MCS) by unmanned aerial vehicles (UAVs) servicing delay-sensitive
applications becomes popular by navigating a group of UAVs to take advantage of their …
applications becomes popular by navigating a group of UAVs to take advantage of their …