International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 09 | Sep 2022
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
“PERFORMING AND PROLONG THE UAV’s ENDURANCE USING EFFICIENT MECHANISM” M. Helan Jancy Reeno [1], Mr. G. Paranthaman M.E (Ph.D.) [2], Mrs. C.G Joy Merline M.E (Ph.D.)[3] PG Student, Electronics and Communication, Madha Engineering College, Kundrathur, India [1]. Associate Professor, Electronics and Communication, Madha Engineering College, Kundrathur, India [2]. Assistant Professor, Electronics and Communication, Madha Engineering College, Kundrathur, India [3]. --------------------------------------------------------------------***----------------------------------------------------------------------communication infrastructure is damaged by the disaster. Abstract: The problem of wireless service provisioning through a rotary wing UAV which can serve as an aerial base station (BS) to communicate with multiple ground terminals (GTs) in a boost demand area. Our objective is to optimize the UAV control for maximizing the UAV’s energy efficiency, in which both aerodynamic energy and communication energy are considered while ensuring the communication requirements for each GT and backhaul link between the UAV and the terrestrial BS. The mobility of the UAV and GTs lead to time varying channel conditions that make the environment dynamic. A nonconvex optimization for controlling the UAV considering the practical angle dependent Rician fading channels between the UAV and GTs, and between the UAV and the terrestrial BS.
Thanks to their high maneuverability, UAVs can adjust their aerial position according to the real-time locations of the ground terminals (GTs) for energy efficiency and improving communication performance. Moreover, by flying over the GTs with a certain altitude, UAV-enabled communication can achieve a better channel quality since the communication links with GTs are mainly dominated by the line-of-sight (LoS) links. For example, a UAV flying at an altitude of 120 m in a rural environment can provide air-to-ground links with the LoS probability that exceeds 95%. Therefore, UAV-enable wireless communication becomes a promising cost- effective paradigm for 5G systems by enabling on demand operations and facilitating the fast and flexible deployment of communication infrastructure.
Traditional optimization approaches are not able to handle the dynamic environment and high complexity of the problem in real-time. To use a deep reinforcement learningbased approach namely Deep Deterministic Policy Gradient (DDPG) to solve the formulated nonconvex problem of UAV control with continuous action space that takes into account the real time of the environment including timevarying UAV ground channel conditions, available onboard energy of the UAV, and the communication requirement of the GTs.
II. RELATED WORK UAV trajectory control for energy efficiency has been rigorously studied. In particular, derive a theoretical model on the propulsion energy consumption of fixed-wing UAVs, and an efficient design based on sequential convex optimization is proposed for maximizing the UAV’s energy efficiency with general constraints on the trajectory. Based on the energy model, characterize Pareto optimal tradeoffs between uplink transmission energy of the GT and propulsion energy consumption of the UAV. Unlike the aforementioned works in which energy consumption is modeled for fixed-wing UAVs present an analytical model for the propulsion energy consumption of rotary-wing UAVs and a successive convex approximation (SCA) based algorithm was proposed to minimize the UAV energy consumption while ensuring the ground users communication throughput requirements.
However, the DDPG method may not achieve good performance in such an unstable environment and will face a large number of hyper parameters. To use the Trust Region Policy Optimization (TRPO) method that can improve the performance of the UAV compared to the DDPG method insuch a dynamic environment. KEYWORDS: UAV, NS2, DDPG, TRPO
I. INTRODUCTION
Also modeling the propulsion energy consumption of rotary-wing UAVs apply SCA technique for designing a three-dimensional (3D) trajectory, the transmit power and subcarrier allocation for multicarrier solar- powered UAV communication systems.
The development of unmanned aerial vehicles (UAVs) technology is emerging to enable 5G systems providing reliable and ubiquitous connectivity to mobile users. In particular, UAVs equipped with onboard wireless transceiver can fly over a target area and provide communication services especially in the areas that are difficult to deploy terrestrial base stations (BSs) or the
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