抄録
The macro cell-edge users (MCEUs) suffer from low data rate due to the high path loss and strong co-channel interference from nearby femtocells. In this paper, we address the optimal resource allocation problem for MCEUs in the heterogonous Macro-Femto network. A femto base station (FBS) is allowed to lease its idled resource to the nearby MCEUs on the condition that the MCEUs are willing to pay for the resource usage. The cost of the transaction between the MCEUs and the FBS is expressed as the proportional throughput relationship between the users. A Lagrange based binary integer programming algorithm is proposed. An MCEU first chooses the subchannels that can provide it with the highest throughput improvement in one of the FBSs. Then optimal power allocation is performed to satisfy the guarantee throughput of each MCEU. The simulation results validate that our proposal can effectively allocate power and channel resource to the MCEUs and achieve improved throughput compared to the case when the MCEUs are served by a macro base station (MBS). In addition, the fairness among these MCEUs based on their throughput requirement in each FBS is satisfied.
