Analyses of User Density Impact on Energy-efficiency Metrics in 5G Networks

2020 ◽  
Author(s):  
Josip Lorincz ◽  
Zvonimir Klarin ◽  
Dinko Begusic
Keyword(s):  
Energy Efficiency ◽  
5G Networks ◽  
User Density

scholarly journals Energy Efficiency in Massive MIMO-Based 5G Networks: Opportunities and Challenges

2017 ◽  
Vol 24 (3) ◽  
pp. 86-94 ◽  
Author(s):  
K. N. R. Surya Vara Prasad ◽  
Ekram Hossain ◽  
Vijay K. Bhargava
Keyword(s):  
Energy Efficiency ◽  
Massive Mimo ◽  
5G Networks

scholarly journals A Novel Interference Avoidance Based on a Distributed Deep Learning Model for 5G-enabled IoT

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6555
Author(s):  
Radwa Ahmed Osman ◽  
Sherine Nagy Saleh ◽  
Yasmine N. M. Saleh
Keyword(s):  
Energy Efficiency ◽  
Deep Learning ◽  
Optimization Technique ◽  
Data Communication ◽  
Learning Model ◽  
Base Station ◽  
System Throughput ◽  
Interference Avoidance ◽  
5G Networks ◽  
Deep Learning Model

The co-existence of fifth-generation (5G) and Internet-of-Things (IoT) has become inevitable in many applications since 5G networks have created steadier connections and operate more reliably, which is extremely important for IoT communication. During transmission, IoT devices (IoTDs) communicate with IoT Gateway (IoTG), whereas in 5G networks, cellular users equipment (CUE) may communicate with any destination (D) whether it is a base station (BS) or other CUE, which is known as device-to-device (D2D) communication. One of the challenges that face 5G and IoT is interference. Interference may exist at BSs, CUE receivers, and IoTGs due to the sharing of the same spectrum. This paper proposes an interference avoidance distributed deep learning model for IoT and device to any destination communication by learning from data generated by the Lagrange optimization technique to predict the optimum IoTD-D, CUE-IoTG, BS-IoTD and IoTG-CUE distances for uplink and downlink data communication, thus achieving higher overall system throughput and energy efficiency. The proposed model was compared to state-of-the-art regression benchmarks, which provided a huge improvement in terms of mean absolute error and root mean squared error. Both analytical and deep learning models reached the optimal throughput and energy efficiency while suppressing interference to any destination and IoTG.

scholarly journals Energy-Efficiency Maximization for D2D-Enabled UAV-Aided 5G Networks

2020 ◽  
Author(s):  
Kazi Mohammed Saidul Huq ◽  
Shahid Mumtaz ◽  
Zhenyu Zhou ◽  
Kishor Chandra ◽  
Ifiok E. Otung ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
5G Networks

scholarly journals Energy Efficient and Delay Aware 5G Multi-Tier Network

2019 ◽  
Vol 11 (9) ◽  
pp. 1019
Author(s):  
Nahina Islam ◽  
Ammar Alazab ◽  
Johnson Agbinya
Keyword(s):  
Energy Efficiency ◽  
Mobile Network ◽  
Base Station ◽  
Small Cells ◽  
Sleep Mode ◽  
Indoor Environments ◽  
Data Traffic ◽  
5G Networks ◽  
Energy Expenditures ◽  
Markov Decision

Multi-tier heterogeneous Networks (HetNets) with dense deployment of small cells in 5G networks are expected to effectively meet the ever increasing data traffic demands and offer improved coverage in indoor environments. However, HetNets are raising major concerns to mobile network operators such as complex distributed control plane management, handover management issue, increases latency and increased energy expenditures. Sleep mode implementation in multi-tier 5G networks has proven to be a very good approach for reducing energy expenditures. In this paper, a Markov Decision Process (MDP)-based algorithm is proposed to switch between three different power consumption modes of a base station (BS) for improving the energy efficiency and reducing latency in 5G networks. The MDP-based approach intelligently switches between the states of the BS based on the offered traffic while maintaining a prescribed minimum channel rate per user. Simulation results show that the proposed MDP algorithm together with the three-state BSs results in a significant gain in terms of energy efficiency and latency.

scholarly journals Multicell Power Supplies for Improved Energy Efficiency in the Information and Communications Technology Infrastructures

2021 ◽  
Author(s):  
Michael Chrysostomou ◽  
Nicholas Christofides ◽  
Stelios Ioannou ◽  
Alexis Polycarpou
Keyword(s):  
Energy Efficiency ◽  
Power Supply ◽  
Rapid Growth ◽  
Energy Demand ◽  
Information And Communications Technology ◽  
Power Supplies ◽  
Low Latency ◽  
Communications Technology ◽  
5G Networks ◽  
Supply Systems

The rapid growth of the Information and Communications Technology (ICT) sector requires additional infrastructure, such as more micro-datacenters and telecom stations, to support the higher internet speeds and low latency requirements of 5G networks. The increased power requirements of the new ICT technologies necessitate the proposal of new power supplies in an attempt to retain the increase in energy demand and running costs. The work analyses how multicell structured power supply units can increase the energy efficiency of the power supply systems and thus minimize running costs of ICT networks. The effect of multicell structures in energy efficiency improvements is verified experimentally and through simulations in PSIM’s thermal module. A new multicell Power Supply Unit (PSU) is proposed for ICT power supplies and it is shown that using multicell structures, higher efficiency at varying load levels can be achieved.

scholarly journals From the early days of 962 unmanned aerial vehicles (UAVs) to their integration into wireless networks

2021 ◽  
Vol 69 (4) ◽  
pp. 941-962
Author(s):  
Zoran Miličević ◽  
Zoran Bojković
Keyword(s):  
Energy Efficiency ◽  
Wireless Networks ◽  
Wireless Communications ◽  
Wireless Communication ◽  
Unmanned Aerial Vehicles ◽  
Communication Networks ◽  
Wireless Communication Networks ◽  
5G Networks ◽  
Aerial Vehicles ◽  
Key Technologies

Introduction/purpose: This paper provides an overview of Unmanned Aerial Vehicles (UAVs) from their early days to their integration into modern wireless networks. Methods: It analyzes, synthesizes and compares the UAVs development technologies throughout their history with significant aspects of their integration in wireless communication networks. Results: Important aspects of wireless communications as one of the key technologies for UAVs are presented. Next, energy efficiency as a research path for UAVs is considered. The paper also emphasizes the present state in this area as well as what the future of UAVs in communications will be. Conclusion: UAVs are important not only for widespread military usage in various combat operations and warfare environment, but also for other purposes such as their integration in 5G networks.

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