A Pervasive Model to Evaluate and Ranking the Best 5G Mobile by Cross-Entropy and TOPSIS Method

Abstract

The development of the new 5G mobile generation is among the most significant and recent breakthroughs in communications and information technology. Compared to older networks, the most recent wireless cellular technology offers more capacity, dependable connections, and quicker upload and download rates. The newest generation of mobile phones, or 5G phones, have significantly quicker speeds and are more dependable. They have the potential to completely change the way we access social media, websites, and information. This study was carried out to address the issue that many 5G mobile users frequently face when deciding which phone is best for them based on many factors. This study contributes to putting out a strategy for assessing and ranking the various 5G mobile possibilities in light of consumers' order of predilections in multicriteria decision-making (MCDM). In this study, we studied 15 different 5G mobiles based on data from mobile companies with 10 criteria. First, the most appealing criteria that affect a person's decision about a 5G mobile are determined. This is accomplished by a survey of the target audience, the expertise of industry professionals in the communications area, and research in the literature. For assessing the 5G mobile alternatives, the TOPSIS approach is employed, and the relative weights of assessment criteria are calculated by the cross-entropy approach, which is new in terms of MCDM. This study demonstrates the usefulness of the suggested strategy.