Low complexity throughput optimisation in OFDMA HetNets with heterogeneous services

In this work, we study a practical resource allocation (RA) scheme that considers heterogeneous services in OFDMA femtocell networks. Heterogeneous services include guarantees of the minimum data-rate for delay-sensitive (DS) users and the fairness for delay-tolerant (DT) users. The RA problem is formulated to maximize the total throughput of all femtocells while satisfying the constraints of cross-tier interference and heterogeneous services. To tackle this issue, we solve the problem in three steps. First, we relax the fairness constraint of DT users by introducing a new relaxation coefficient. Then, the relaxed problem is addressed by using the Lagrangian dual method. Finally, we develop an iterative algorithm for joint power and resource block (RB) allocation. The proposed scheme outperforms existing methods in terms of the complexity and the total achievable throughput