This repo contains the code for the project Optimal UAV Placement and Communication. MATLAB version used: R2020b.
The final version of the paper can be found here, which was accepted at the 2021 National Conference on Communications (NCC). A copy has been added to the repo. Please note that the code from the paper is present in the folder titled convex_optimization_based_uav_placement. The other folder was an exploration.
If you use ideas from the paper or use the code, we request that you cite this paper.
@INPROCEEDINGS{9530098,
author={Prasad, Nelapati Lava and Ekbote, Chanakya Ajit and Ramkumar, Barathram},
booktitle={2021 National Conference on Communications (NCC)},
title={Optimal Deployment Strategy for Relay Based UAV Assisted Cooperative Communication for Emergency Applications},
year={2021},
volume={},
number={},
pages={1-6},
doi={10.1109/NCC52529.2021.9530098}}
- Resource Allocation and Basestation Placement in Downlink Cellular Networks Assisted by Multiple Wireless Powered UAVs
- 3-D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users With Different QoS Requirements
- A Primer on Cellular Network Analysis Using Stochastic Geometry
- Clustering Based UAV Base Station Positioning for Enhanced Network Capacity
- Solving Optimization Problems or Equations (solve)
- Checking if a solution satisfies constraints (infeasibility)
- This sheet contains the results shown in the paper. Please take a look at the paper if you would like to observe the results. The Google Sheet contains the graphs as well as values for the experiments run (for personal use).