Energy-Efficient Deployment Simulator of UAV-Mounted Base Stations
In this paper, we propose an energy-efficient UAV-MBS deployment scheme in multi-UAV-MBS networks using a hybrid improved simulated annealing–particle swarm optimization (ISA
There are different stages of the sleep mode of base stations. These are mentioned below: On: the small cell operates fully and consumes the maximal power. Standby: the small cell sleeps in “light” mode and can easily wake up on UE's request., This can be done by shutting down the TCXO heater and RF.
gineering University of TrentoTrento, Italy [email protected]—Unmanned Aerial Vehicles (UAVs), which are at the forefront of cutting-edge technology, have unmat hed potential for pioneering applications in a wide range of disciplines. In particular, in the field of cognitive radio (CR), which is a ke
The extent to which a wireless communication system may become EE is heavily influenced by the parameter values that can be chosen in an application and the energy consumption modelling. Signal conditioning algorithms such as crest factor reduction and Digital Pre-Distortion are the two examples of improving PA .
The current wireless systems (such as 2 G, 3 G and 4 G) are intended primarily for maximum capacity and high data rates, therefore the term EE has not yet gained the required attention as a wireless network optimization topic.
In this paper, we propose an energy-efficient UAV-MBS deployment scheme in multi-UAV-MBS networks using a hybrid improved simulated annealing–particle swarm optimization (ISA
To cope with the problem of no or difficult grid access for base stations, and in line with the policy trend of energy saving and emission reduction, Huijue Group has launched an innovative
The proposed model increases UAV network efficiency by exploiting charging capabilities of base stations and supercharging stations, enabling longer flight times and lower energy usage.
Recently, the concept of base stations on low altitude platforms (LAPs) attracted researchers'' attention for emergency communication and the digital divide in under-developed areas.
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 prioritizing EE for both
To increase endurance and achieve good performance, UAVs generally use a hybrid power supply system architecture. A hybrid power architecture may com-bine several power sources such as fuel
In response to the energy-saving needs of 5G base stations, this article combines IoT technology, artificial intelligence technology, and thermal design technology to conduct research on energy
In these systems, energy efficiency is of paramount importance because satellites, high-altitude platforms, and unmanned aerial vehicles (UAV)-based base stations operate under strict
features of UAV communication compared to terrestrial wireless networks. Nevertheless, the implementation of this system is constrained by several severe challenges, such as energy
Discover techniques for optimizing UAV communication power consumption, enhancing flight time and operational efficiency for unmanned aerial vehicles.
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