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In this paper, a heterogeneous network composed of femtocells deployed within a macrocell network is considered, and a quality-of-service (QoS)-oriented fairness metric which captures important characteristics of tiered network architectures is proposed. Using homogeneous Poisson processes, the sum capacities in such networks are expressed in closed form for co-channel, dedicated channel, and hybrid resource allocation methods. Then a resource splitting strategy that simultaneously considers capacity maximization, fairness constraints, and QoS constraints is proposed. Detailed computer simulations utilizing 3GPP simulation assumptions show that a hybrid allocation strategy with a well-designed resource split ratio enjoys the best cell-edge user performance, with minimal degradation in the sum throughput of macrocell users when compared with that of co-channel operation.

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In this paper we analyze various user assignment and scheduling policies for neigbouring femtocell networks. The trade-off between capacity maximization and fairness is investigated and a combined user assignment and proportional fair (PF) scheduling procedure for a femtocell gateway is proposed. The flexibility of the proposed architecture in terms of capacity and fairness is studied via various simulation scenarios. It is shown that by changing parameters in the proposed method one can play-out between fairness and capacity in a femtocell network. In order to decrease the number of the handovers between femtocells, we propose that a femtocell user should be scheduled with the same femtocell base station for a duration of superframe, i.e, cell re-selection should be done in every superframe. The performance of the combined user assignment and PF scheduling scheme is investigated under different superframe considerations and it is shown that a wide range of performance results (in terms of capacity, fairness, handover frequency) could be achieved.