Research direction towards exploring software control radio using machine learning algorithms for smart hotel applications with future aspects

Abstract

ABSTRACT Various research works are focused on intelligent methodologies in the hospitality industry to promote real-time performance enhancement. Although the existing research works are focused on the design of hotel applications, they only estimated the consumers' acquired performance of a smart hotel and studied the customer details. The major research problem handled is the establishment of radio domain expertise into data structures and to process in real-time scenarios, which is carried out by integrating natural language processing and Machine Learning (ML) technologies into software radio. Owing to this flexibility, various opportunities are presented in various applications and thus, it helps in promoting research on hotel environments. The research work is done by gathering the set of recent research works for exploring the algorithmic and application-oriented SDR. Thus, this research explores the various applications and discussion on SDR with the following categories of an introduction to SDR, literature study on collected studies, problem statement, the algorithms used, expected results in terms of performance measures used, advantages and disadvantages of existing studies, and applications focused on SDR. Finally, the research challenges of traditional SDR applications and the future research direction on the smart hotel application-oriented SDR domain are discussed.