Admission Control and Channel Allocation for Dynamic Spectrum Access using Multi-objective Optimization

Abstract

The growing development of applications, utilization time, technologies and data rates are increasing the demands for, and value of, the finite spectral resources. It creates an idea of spectrum scarcity; however, several studies concluded that the shortage of the spectrum is a spectrum access problem since certain bands are used sporadically while in others, the spectrum resource is scarce. In this context, dynamic spectrum access (DSA) is proposed as a solution to reuse spectrum, sharing spectrum bands. Its main challenge is to guarantee protection against interference to primary users (PU, users with high priority to access a channel) when a frequency band is shared with secondary users (SU, users with low priority to access a channel). To achieve this, a DSA strategy is that a SU transmits simultaneously with the PU as long as the resulting interference is constrained. The aforementioned involves controlling the number of selected SUs to the network to assure a peaceful coexistence with the PUs in the area. This work proposes a multi-objective admission control and channel allocation algorithm to determine the tradeoff between the maximum data rate and maximum number of selected SUs to concurrently share a spectral resource considering Quality of Service (QoS) constraints. To figure out the solution that considers the two conflicting objectives, Particle Swarm Optimization (PSO) and the Weighted Sum Method are applied.