Abstract
Due to vast technology advancement in communication System, it has been possible to use unmanned aerial vehicle (UAV) that can fly independently and worked remotely without carrying any human personnel. UAV provides new methods for communication in military and civilian application. They have small operating and installation cost. They provide flexible way for communication. Unmanned aerial vehicle can be used as Wireless base station in cellular system providing an alternative communication mechanism for cellular communication in any disaster or emergency situation when existing terrestrial network goes down. However besides these several advantages UAVs has many Unique design challenges for both indoor and outdoor users. Energy limitation is one of the major challenges as each UAV has limited battery source so due to limited battery time completing the task in minimum Hover time is another challenge. Another major challenge is Optimal UAVs placement in such a way that Sum data rate of all the users is maximized. this paper investigate the problem of Optimal UAVs placement and minimum transmit power through which better signal to noise ratio is achieved for indoor users, first proved our problem is mixed integer non- linear problem and our objective function is convex and use Genetic algorithm and Nomad to solve our problem, Through Numerical result conclude that optimal placement of UAVs is achieved with minimum path loss and minimum transmit power required to cover indoor user.
Highlights
Unmanned air vehicle is aircraft which can be operated without the interference of human it can be programmed as per our requirement
Our principle commitment in this paper is to check the issue of effective unmanned aerial vehicle (UAV) placement, where the goal is to limit the all-out transmit control required to cover the tall structure, when the areas of indoor clients are consistently conveyed in each floor, and propose a molecule swarm advancement calculation for finding a productive area of the UAV
To solve the convex mixed integer nonlinear the solver is NOMAD its result will compared with the heuristic Genetic Algorithm (GA) which is this case is bench mark to solve optimization problem
Summary
Unmanned air vehicle is aircraft which can be operated without the interference of human it can be programmed as per our requirement. The man challenges inn UAV’s are throughput, transmission rate, optimal placement in different scenarios i.e. urban, urban dense, rural, ground some big gathering like Hajj in Makkah, interference control, maximum coverage with energy efficient, path loss, channel modeling LOS or NLOS challenges. These are few basic challenges for the latest work. Our principle commitment in this paper is to check the issue of effective UAV placement, where the goal is to limit the all-out transmit control required to cover the tall structure, when the areas of indoor clients are consistently conveyed in each floor, and propose a molecule swarm advancement calculation for finding a productive area of the UAV.
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