Comparison of Three Dynamic Channel Allocation Algorithms

In this article, we conduct a comparative study of three dynamic channel allocation algorithms. The first is a random allocation algorithm, which serves as a baseline approach implementing simple probabilistic channel assignment without optimization criteria. The remaining two algorithms are specialized for cognitive radio systems: The Resource-Perspective (RP) algorithm performs allocation based on resource availability metrics, typically implementing utility functions that evaluate channel quality, interference levels, and spectral efficiency. The Demand-Perspective (DP) algorithm adopts a requirement-driven approach, employing priority queues and demand estimation functions to allocate channels according to user QoS requirements and traffic patterns. Through systematic comparison of these algorithms, we gain comprehensive insights into their distinctive characteristics, implementation complexities, and optimal application scenarios in modern wireless communication systems.