抄録
Two-tier network which is comprised by conventional cellular networks and femtocell networks is provided to achieve higher user transmission rate and larger coverage. However, the throughput of multicell system is greatly limited by the cross-tier co-channel interference. Especially, the cell-edge user of the macrocell layer would suffer from low transmission rate due to the co-channel interference from nearby femtocells. In this paper, we address the resource allocation problem for Macro Cell-Edge Users (MCEUs) in heterogonous Macro-Femto network. Our objective is to maximize the multiple MCEUs' throughput by allowing them to access the unoccupied resource of nearby femtocells, depending on their willingness to rent the femtocell resources. The willingness is expressed as the proportional throughput relationship between users. We propose a mix integer programming algorithm based on Lagrange optimal method and solve it in two suboptimal schemes. The subchannels are first allocated with the assumption of equal power distribution. Then optimal power allocation is performed under the constraint of all the MCEUs throughput requirements. Simulation results validate that our proposal can effectively allocate power and channel resource to the MCEUs and achieve better throughput than the case when users are only served by Macrocell. Also, the fairness which is based on the payment willingness of these users can be satisfied.
