Tabu search for dynamic spectrum allocation in cellular networks

In this paper, we present and analyze a Tabu Search (TS) algorithm for Dynamic Spectrum Allocation (DSA) in cellular networks. We study a case where an operator is providing packet services to the endusers. The objective of the cellular operator is to maximize its reward while taking into account the trade-off between the spectrum cost and the revenues obtained from end-users. These revenues are modeled here as an increasing function of the achieved throughput. The cost is proportional to the bandwidth of the spectrum leased to the regulator or some spectrum broker. Results show that the algorithm allows the operator to increase its reward by taking advantage of the spatial and temporal heterogeneities of the traffic in the network, rather than assuming homogeneous traffic for its radio resource allocation. Our TS-based DSA algorithm is efficient in terms of the required memory space and convergence speed. Results show that the algorithm is fast enough to suit a dynamic context. Copyright c © 2xxx AEIT