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Deep reinforcement learning for energy-efficient multi-channel transmissions in 5G cognitive hetnets: Centralized, decentralized and transfer learning based solutions
Energy efficiency (EE) constitutes a key target in the deployment of 5G networks, especially
due to the increased densification and heterogeneity. In this paper, a Deep Q-Network …
due to the increased densification and heterogeneity. In this paper, a Deep Q-Network …
Optimal resource allocation in energy-efficient Internet-of-Things networks with imperfect CSI
Internet of Things (IoT) is an emerging networking paradigm that enhances smart device
communications through Internet-enabled systems. Due to massive IoT devices connectivity …
communications through Internet-enabled systems. Due to massive IoT devices connectivity …
Distributed clustering for user devices under UAV coverage area during disaster recovery
An Unmanned Aerial Vehicle (UAV) is a promising technology for providing wireless
coverage to ground user devices. For all the infrastructure communication networks …
coverage to ground user devices. For all the infrastructure communication networks …
Unmanned aerial vehicles for post-disaster communication networks
The overall efficiency of unmanned aerial vehicles (UAVs) must be reliable when providing
wireless coverage service during and post-disaster scenarios. UAVs should be able to …
wireless coverage service during and post-disaster scenarios. UAVs should be able to …
Enabling precision medicine via contemporary and future communication technologies: A survey
Precision medicine (PM) is an innovative medical approach that considers differences in the
individuals' omics, medical histories, lifestyles, and environmental information in treating …
individuals' omics, medical histories, lifestyles, and environmental information in treating …
A POMDP-based approach to joint antenna selection and user scheduling for multi-user massive MIMO communication
We devise a partially observable Markov decision process (POMDP) based joint antenna
selection and user scheduling (JASUS) policy for a massive MIMO base station, equipped …
selection and user scheduling (JASUS) policy for a massive MIMO base station, equipped …
[PDF][PDF] Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems.
Energy efficiency (EE) is a critical design when taking into account circuit power
consumption (CPC) in fifth-generation cellular networks. These problems arise because of …
consumption (CPC) in fifth-generation cellular networks. These problems arise because of …
Maximising system throughput in wireless powered sub-6 GHz and millimetre-wave 5G heterogeneous networks
Millimetre wave (mm-Wave) bands and sub-6 GHz are key technologies in solving the
spectrum critical situation in the fifth generation (5G) wireless networks in achieving high …
spectrum critical situation in the fifth generation (5G) wireless networks in achieving high …
On deploying the internet of energy with 5g open ran technology including beamforming mechanism
The Internet of Energy is the deployment of IoT technology within energy systems (including
distributed power monitoring and measuring points, energy plant sensors, points of …
distributed power monitoring and measuring points, energy plant sensors, points of …
Distributed clustering for user devices under unmanned aerial vehicle coverage area during disaster recovery
An Unmanned Aerial Vehicle (UAV) is a promising technology for providing wireless
coverage to ground user devices. For all the infrastructure communication networks …
coverage to ground user devices. For all the infrastructure communication networks …