An Optimal Model and Deployment Solution of Airship based on Multiobjective Evolutionary Algorithm for Near Space Communication System
- Resource Type
- Conference
- Authors
- Mondal, Abhishek; Hossain, Ashraf
- Source
- 2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Electrical, Electronics and Computer Engineering (UPCON), 2020 IEEE 7th Uttar Pradesh Section International Conference on. :1-6 Nov, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Signal Processing and Analysis
Wireless communication
Space communications
Evolutionary computation
Throughput
Statistics
Optimization
Sorting
Ergodic Capacity
Hypervolume
Near Space Communication System
Outage Capacity
- Language
- ISSN
- 2687-7767
The airship, being a major component of the Near Space Communication System, is one of the most promising alternative solutions for modern world's increasing communication demand. Therefore, the optimal deployment strategies of airships have been proposed in this paper. Our aim is to find the suitable locations in three dimensional space for airships while ensuring that ground users can receive maximum throughput in terms of ergodic capacity and outage capacity. We formulate the optimal deployment of airships as a multiobjective optimization problem where a trade-off among network capacity and coverage area has been addressed. Decomposition based multiobjective evolutionary algorithm along with Nondominated Sorting Genetic Algorithm-II (NSGA-II), Multiobjective Selection Based on Dominated Hypervolume and Approximation-Guided Evolutionary Multiobjective are employed to solve the deployment optimization problem. Numerical results indicate that NSGA-II outperforms the other proposed algorithms and enhances network throughput by 8% and 13.8% in case of ergodic and outage capacity respectively.