Abstract:
An ad-hoc network using unmanned aerial vehicle (UAV) as relay, has been gaining significant attention especially for communication between far apart ground terminals dur...Show MoreMetadata
Abstract:
An ad-hoc network using unmanned aerial vehicle (UAV) as relay, has been gaining significant attention especially for communication between far apart ground terminals during emergency conditions due to agility and resilience requirements. However, UAV hovering localization (HL) and power allocation (PA) are the key issues in such relay based flying ad hoc networks (FANETs). In this work, we propose a framework to jointly optimize the placement of rotary-wing UAV hovering and PA for maximization of network throughput in a three node decode-and-forward (DF) FANET. Specifically, we develop three different optimization schemes, (i) individual UAV HL optimization with a fixed allocated power, (ii) individual PA optimization for a fixed UAV HL, (iii) jointly optimal UAV HL and PA. For every optimization problem, the underlying convexity is proved and the global optimal solutions have been obtained. Further, we provide novel analysis by utilizing the characteristics of sigmoidal function thereby obtaining the closed-form and semi-closed-form expressions respectively for the globally-optimal solutions for individual and joint optimization schemes. The analytical results are numerically validated and various optimal design insights are discussed. It has been found that the proposed joint optimal scheme shows an average performance enhancement of 52% over benchmark scheme.
Date of Conference: 07-11 June 2020
Date Added to IEEE Xplore: 21 July 2020
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- IEEE Keywords
- Index Terms
- Ad Hoc Networks ,
- Using Unmanned Aerial Vehicles ,
- Optimization Problem ,
- Optimal Strategy ,
- Sigmoid Function ,
- Global Optimization ,
- Ergogenic ,
- Unmanned Aerial Vehicles ,
- Joint Optimization ,
- Global Optimal Solution ,
- Network Throughput ,
- Optimal Power Allocation ,
- Benchmark Schemes ,
- Disaster Management ,
- Linear Approximation ,
- Channel Model ,
- Path Loss ,
- Convex Optimization Problem ,
- Elevation Angle ,
- Optimal Placement ,
- Line-of-sight Component ,
- Path Loss Model ,
- Joint Power Allocation ,
- Channel Power Gain ,
- Power Allocation Scheme
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Ad Hoc Networks ,
- Using Unmanned Aerial Vehicles ,
- Optimization Problem ,
- Optimal Strategy ,
- Sigmoid Function ,
- Global Optimization ,
- Ergogenic ,
- Unmanned Aerial Vehicles ,
- Joint Optimization ,
- Global Optimal Solution ,
- Network Throughput ,
- Optimal Power Allocation ,
- Benchmark Schemes ,
- Disaster Management ,
- Linear Approximation ,
- Channel Model ,
- Path Loss ,
- Convex Optimization Problem ,
- Elevation Angle ,
- Optimal Placement ,
- Line-of-sight Component ,
- Path Loss Model ,
- Joint Power Allocation ,
- Channel Power Gain ,
- Power Allocation Scheme
- Author Keywords