Resource allocation in heterogeneous networks: A modified many-to-one swap matching

With the rapid increase of wireless service, applying wireless heterogeneous networks is considered as a promising technique to increase the resource utilization rate. However, it is difficult to achieve rational spectrum resource allocation when macro-cellular users and femtocellular users exist in a network which will introduces the serious cross-interference and inter-interference. To solve this problem, a modified swap matching algorithm based on stable matching theory is proposed to allocate the resource. In the algorithm, femtocellualr users continuously exchange their matched resources under the given conditions, and reach a stable swap matching finally. Simulation results show that the given modified swap matching algorithm can achieve a better solution than traditional swap matching algorithm and the modified Gale-Shapley matching algorithm and increase the resource utilization rate with a lower computation complexity.