Femtocell is a novel technology that is used for escalating indoor coverage as well as the capacity of traditional cellular\nnetworks. However, interference is the limiting factor for performance improvement due to co-channel deployment\nbetween macrocells and femtocells. The traditional network planning is not feasible because of the random deployment\nof femtocells. Therefore, self-organization approaches are the key to having successful deployment of femtocells.\nThis study presents the joint resource block (RB) and power allocation task for the two-tier femtocell network in a\nself-organizing manner, with the concern to minimizing the impact of interference and maximizing the energy\nefficiency. In this study, we analyze the performance of the system in terms of the energy efficiency, which is\ncomposed of both the transmission and circuit power. Most of the previous studies investigate the performance\nregarding the throughput requirement of the two-tier femtocell network while the energy efficiency aspect is\nlargely ignored. Here, the joint allocation task is modeled as a non-cooperative game which is demonstrated to\nexhibit pure and unique Nash equilibrium. In order to reduce the complexity of the proposed non-cooperative\ngame, the joint RB and power allocation task is divided into two subproblems: an RB allocation and a particle\nswarm optimization-based power allocation. The analysis of the proposed game is carried out in terms of not\nonly energy efficiency but also throughput. With practical 3rd Generation Partnership Project (3GPP) Long-Term\nEvolution (LTE) parameters, the simulation results illustrate the superior performance of the proposed game as\ncompared to the traditional methods. Also, the comparison is carried out with the joint allocation scheme which\nonly considers the throughput as the objective function. The results illustrate that significant performance\nimprovement is achieved in terms of energy efficiency with slight loss in the throughput. The analysis in regard\nto energy efficiency and throughput of the two-tier femtocell network is carried out in terms of the performance\nmetrics, which include convergence, impact of varying RBs, impact of femtocell density, and the fairness index.
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