8. Conclusion
In this paper, we have proposed an energy efficient framework for user association and power allocation in femtocell assisted cellular networks. In order to improve the benefits of femtocell deployments, use of cell biasing and expected bitrate based user association is suggested. These schemes offload users from macrocells to femtocells, and consequently improve the femtocell resource utilization and reduce the macrocell energy consumption. Compared to existing cell selection schemes available in the literature, our proposed enhanced expected bitrate scheme has shown to improve throughput of femtocells by 30–35% approximately. Besides protecting signal quality of macrocell users using interference constraint, a new criterion referred to as rate-loss constraint is also proposed. Additionally, an optimal power allocation strategy (HCPC) is devised to efficiently reuse macrocell spectrum in femtocell downlink. The HCPC technique, when used in combination with enhanced expected bitrate scheme, has resulted in an additional 20–26% improvement in throughput of femtocells. Simulation results have verified this improvement in system throughput and energy efficiency. Our suggested HCPC technique achieves the best performance in terms of both system throughput and energy efficiency while protecting macrocell users via interference and rate-loss constraints. Future work in this direction can consider limited femtocell backhaul capacity while performing cell selection and spectrum allocation.