Application of Computational Intelligence Algorithms in Radio Propagation: A Systematic Review and Metadata Analysis

The importance of wireless path loss prediction and interference minimization studies in various environments cannot be over-emphasized. In fact, numerous researchers have done massive work on scrutinizing the effectiveness existing models for channel modeling. difficulties experienced by determining or having detailed information about propagating environment prompted use computational intelligence (CI) methods loss. This paper presents a comprehensive systematic literature review application nature-inspired approaches radio propagation analysis. particular, we cover artificial neural networks (ANNs), fuzzy inference systems (FISs), swarm (SI), other techniques. main research trends general overview different areas, open issues, future directions are also presented this paper. will serve as reference material field modeling particular prediction.