A Comprehensive Analysis of 5G Dynamic Spectrum Sharing for IoT Environments

Abstract

Background: 5G technology will revolutionize wireless communications, emphasizing spectrum efficiency. Pervasive device connectivity requires unprecedented spectrum resources to allow flawless Internet of Things (IoT) communication. Thus, dynamic spectrum sharing (DSS) is essential for 5G and IoT cohabitation without spectral congestion. Objective: This study examines how DSS improves 5G network speed and efficiency, especially in an IoT-dominated context. The main goals are strategies and methods to maximize spectrum sharing among 5G and IoT devices for resilient, scalable, and uninterrupted connectivity. Methods: Using simulation and testing, this study assesses 5G DSS algorithms and models for latency, throughput, and reliability. The current study compares conventional spectrum allocation and dynamic sharing strategies in various IoT applications. Results: 5G networks with DSS have improved spectrum usage and performance. Optimized algorithms reduce latency and increase throughput even in IoT-heavy situations. Conclusion: DSS is vital to strengthening 5G networks for IoT applications. DSS supports and expands IoT ecosystems by reducing spectrum scarcity and improving network performance, laying the groundwork for the 5G era's rush of connected devices and applications. DSS algorithms need further research to meet changing technology and application needs.

Keywords

• dynamic spectrum sharing (dss)
• fifth generation (5g)
• internet of things (iot)
• spectrum utilization
• network performance
• latency reduction
• enhanced throughput
• spectral congestion
• algorithm optimization
• wireless communication (wc)