Multi-agent-Based Interference Mitigation Technique in Wireless Communication System

The popularity of agents in artificial intelligence (AI) can be seen almost everywhere in the form of effective decision making, predictive analysis, expert systems, and so on. In parallel, wireless communication systems in the form of wireless local area networks (WLANs) and wireless personal area networks (WPANs) are also providing tremendous support for data communication. Exploring and utilizing the benefits of artificial intelligence and wireless communication systems together in an environment are still in the nascent stage due to the divergent characteristics of the respective domain. One of the major drawbacks in the existing wireless communication system is interference in 2.4 GHz band. This work proposes a multi-agent-based interference mitigation technique to mitigate the interference issues in wireless communication system and aims to enhance the communication process in terms of packet delivery ratio. This work is implemented as a pilot project in an educational institution for teaching students in wireless communication environment, the result shows that technology has added new dimensions to teaching-learning process, and performance of the wireless communication system is also increased in terms of packet delivery ratio.