Context-Aware Spectrum Sharing and Allocation for Multiuser-Based 5G Cellular Networks

Abstract

The number of users of current mobile and cellular networks is constantly increasing. The allocation of spectrum to its users is constantly facing various hurdles. This causes users to leave that network and connect to another network. Thus, those telecom companies are constantly struggling to provide high-speed services to the users. As a result, the demand for 5G networks is currently increasing. Considering these, an algorithm has been proposed here to suit the needs of the users. Its main feature is that it easily identifies the primary and secondary users of the 5G network and creates a spectrum allocation system for them accordingly. Generally, all other methods are designed with the primary user in mind. Furthermore, the spectrum hole calculation that is currently being proposed is done accurately so that the spectrum switching processes required for the secondary user can take place here very quickly so that the secondary user can use the spectrum without any hindrance. The proposed model achieved 93.29% of spectrum blocking, 6.71% of spectrum band dropping, 94.03% bandwidth utilization, 1073 ms end-to-end delay, and 17273 bps of throughput. The proposed model effectively handles the spectrum and intelligent approach to resolve the spectrum hole problems. The existing models are practically faced with these problems. The proposed model spectrum utilization and efficiency were increased compared with the existing models.

Signal Processing with Machine Learning for Context Awareness in 5G Communication Technology

“…While 5G is anticipated to run at very high frequencies between 30 GHz and 300 GHz, 4G networks now operate at frequencies below 6 GHz. For a variety of reasons, there are numerous high frequencies, but one of the most important is that they can manage a lot of data that happens very quickly (Vijay et al [2]).…”

Practical Performance Analysis of Interference in DSS System

“…How to efficiently use the limited spectrum resources and promote efficient and rapid transition is a challenge that must be solved for mobile communication development [4,5]. This is specifically reflected in the following two aspects:…”