Particle swarm optimization applied to a spectrum sharing problem

It is recognized that the centralized approach to spectrum management currently used in most countries has led to highly inefficient allocations. It means available spectrum regulated by Static Spectrum Allocation Policy is underutilized over certain bands while in others remain scarce. In this context, spectrum sharing techniques are proposed to recycle bands in order to solve the problem of spectrum scarcity and use the limited spectrum resource as effectively as possible. Due to spectrum sharing is a complex issue; in this work we proposed a heuristic optimization approach applying particle swarm optimization (PSO) to maximize the sum throughput for the maximum number of secondary links that can be admitted to the network under interference constraints.