Backhaul-aware user association and resource allocation for energy-constrained HetNets
Growing attention has been paid to renewable-or hybrid-energy-powered heterogeneous
networks (HetNets). In this paper, focusing on backhaul-aware joint user association and …
networks (HetNets). In this paper, focusing on backhaul-aware joint user association and …
SINR based energy optimization schemes for 5G vehicular sensor networks
Abstract In Vehicular Sensor Networks (VSNs), the configuration of connected vehicles is in
such a manner that enhances the data traffic. Due to this challenge, researchers have …
such a manner that enhances the data traffic. Due to this challenge, researchers have …
Computation Offloading in MEC-Enabled IoV Networks: Average Energy Efficiency Analysis and Learning-Based Maximization
TZH Ernest, AS Madhukumar - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
This paper investigates the energy efficiency of computation offloading strategies in multi-
access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks. First …
access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks. First …
How energy-efficient can a wireless communication system become?
E Björnson, EG Larsson - 2018 52nd Asilomar conference on …, 2018 - ieeexplore.ieee.org
The data traffic in wireless networks is steadily growing. The long-term trend follows
Cooper's law, where the traffic is doubled every two-and-a-half year, and it will likely …
Cooper's law, where the traffic is doubled every two-and-a-half year, and it will likely …
An energy-efficient power allocation scheme for NOMA-based IoT sensor networks in 6G
Non-orthogonal multiple access (NOMA) is an upcoming technique to boost the capacity of
visible light communication (VLC) systems which is otherwise limited by the slow modulation …
visible light communication (VLC) systems which is otherwise limited by the slow modulation …
Enabling green cellular networks: A survey and outlook
In last couple of decades, cellular networks have revolutionized the way users access
communication networks but they required a huge effort to operators for the development of …
communication networks but they required a huge effort to operators for the development of …
Energy-efficient ultra-dense network using LSTM-based deep neural networks
As a means to achieve thousand-fold throughput improvements of future wireless
communications, ultra-dense network (UDN) where a large number of small cells are …
communications, ultra-dense network (UDN) where a large number of small cells are …
Power consumption model for macrocell and microcell base stations
In this paper, a power consumption model for both macrocell and microcell base stations is
proposed. This model is validated by temporal power measurements on actual base …
proposed. This model is validated by temporal power measurements on actual base …
QoS-aware power control in internet of drones for data collection service
Internet of Drones (IoD) utilizes drones as the Internet of Things devices to collect
information (eg, air pollutant level and traffic condition) over different points of interests, and …
information (eg, air pollutant level and traffic condition) over different points of interests, and …
Electric load profile of 5G base station in distribution systems based on data flow analysis
This paper proposes an electric load demand model of the 5th generation (5G) base station
(BS) in a distribution system based on data flow analysis. First, the electric load model of a …
(BS) in a distribution system based on data flow analysis. First, the electric load model of a …