Exploring Techniques to Mitigate Interference in Drone Communication Systems

Despite the apparent advantages and strong economic efforts for cellular-connected drones, several critical challenges must be tackled for their successful implementation.Like any radio communication system interference is considered as the biggest challenge as it significantly decreases the efficiency and reliability of the drone.The Monte-Carlo simulation (MCS) strategy is based on the principle of taking samples of random variables from a given distribution.These samples are then used to assess interference in terms of the interference received signal strength compared to the desired received signal strength commonly known as C/I or SNR.The results then are derived using SEAMCAT software as probability of interference where 1 means that this system is always interfered and 0 means it's never interfered.The study has been conducted for separation distances of 2,3,4, and 6 km between the victim receiver and the interfering transmitter where a lower interference probability was achieved as far as they were separated.A frequency allocation approach was also used during this study where we achieved lower interference probability when the systems were operating at a higher frequency.