AI models for green communications towards 6G

B Mao, F Tang, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

Energy aware edge computing: A survey

C Jiang, T Fan, H Gao, W Shi, L Liu, C Cérin… - Computer …, 2020 - Elsevier
Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …

Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking

J Wang, K Zhu, E Hossain - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …

Deep reinforcement learning for throughput improvement of the uplink grant-free NOMA system

J Zhang, X Tao, H Wu, N Zhang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …

Energy-efficiency schemes for base stations in 5G heterogeneous networks: a systematic literature review

P Kaur, R Garg, V Kukreja - Telecommunication Systems, 2023 - Springer
In today's 5G era, the energy efficiency (EE) of cellular base stations is crucial for
sustainable communication. Recognizing this, Mobile Network Operators are actively …

Reinforcement learning-based downlink interference control for ultra-dense small cells

L Xiao, H Zhang, Y Xiao, X Wan, S Liu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
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 …

QoS design using Mmwave backhaul solution for utilising underutilised 5G bandwidth in GHz transmission

M Kandasamy, N Yuvaraj, RA Raja… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
In general, the bandwidth of a local network is a topic that is becoming more and more
associated with the proliferation of high-speed Internet. Every time the user tries to connect …

Special issue on artificial intelligence and machine learning for networking and communications

P Chemouil, P Hui, W Kellerer, Y Li… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Research in large-scale networking systems has been shaped and will continue to be
guided by specific characteristics of applications and the underlying platforms and …

Analysis of energy efficiency of small cell base station in 4G/5G networks

V Deepa, M Haridass, D Selvamuthu… - Telecommunication …, 2023 - Springer
Abstract Base Stations (BSs) sleeping strategy is an efficient way to obtain the energy
efficiency of cellular networks. To meet the increasing demand of high-data-rate for wireless …

[HTML][HTML] Energy Efficiency and Load Optimization in Heterogeneous Networks through Dynamic Sleep Strategies: A Constraint-Based Optimization Approach

A Shabbir, MF Shirazi, S Rizvi, S Ahmad, AA Ateya - Future Internet, 2024 - mdpi.com
This research endeavors to advance energy efficiency (EE) within heterogeneous networks
(HetNets) through a comprehensive approach. Initially, we establish a foundational …