Evaluating spectrum allocation strategies for 5G network in bipolar fuzzy environment

Abstract

In The rapid evolution of wireless communication technologies has placed significant pressure on efficient spectrum utilization, particularly in the context of 5G networks. The growing need for faster data transmission, minimal latency and large-scale device connectivity has made efficient spectrum allocation an essential yet challenging task. This paper involves four prominent spectrum allocation strategies, AI – based spectrum management, cognitive radio allocation, Dynamic spectrum allocation and fixed spectrum allocation. Each alternative is evaluated based on key performance criteria including, Spectrum utilization, interference management, Adaptability and computational complexity. This paper discusses the use of bipolar picture fuzzy soft TODIM and MAUT methods to identify the best spectrum allocation strategies for 5G network/