Abstract
Abstract Femtocell is a novel technology that is used for escalating indoor coverage as well as the capacity of traditional cellular networks. However, interference is the limiting factor for performance improvement due to co-channel deployment between macrocells and femtocells. The traditional network planning is not feasible because of the random deployment of femtocells. Therefore, self-organization approaches are the key to having successful deployment of femtocells. This study presents the joint resource block (RB) and power allocation task for the two-tier femtocell network in a self-organizing manner, with the concern to minimizing the impact of interference and maximizing the energy efficiency. In this study, we analyze the performance of the system in terms of the energy efficiency, which is composed of both the transmission and circuit power. Most of the previous studies investigate the performance regarding the throughput requirement of the two-tier femtocell network while the energy efficiency aspect is largely ignored. Here, the joint allocation task is modeled as a non-cooperative game which is demonstrated to exhibit pure and unique Nash equilibrium. In order to reduce the complexity of the proposed non-cooperative game, the joint RB and power allocation task is divided into two subproblems: an RB allocation and a particle swarm optimization-based power allocation. The analysis of the proposed game is carried out in terms of not only energy efficiency but also throughput. With practical 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) parameters, the simulation results illustrate the superior performance of the proposed game as compared to the traditional methods. Also, the comparison is carried out with the joint allocation scheme which only considers the throughput as the objective function. The results illustrate that significant performance improvement is achieved in terms of energy efficiency with slight loss in the throughput. The analysis in regard to energy efficiency and throughput of the two-tier femtocell network is carried out in terms of the performance metrics, which include convergence, impact of varying RBs, impact of femtocell density, and the fairness index.
Highlights
Femtocell is a promising technology for expanding indoor coverage as well as the capacity of traditional cellular networks [1]
2.1 Proposed framework The considered framework for the proposed noncooperative game for resource block (RB) and power allocation in two-tier femtocell networks is shown in Figure 1, where macrocells are underlaid with multiple femtocells
As far as the complexity of the proposed noncooperative game is concerned, the joint allocation task that we have considered in the game is decomposed into two subproblems: an RB allocation and a PSObased power allocation
Summary
Femtocell is a promising technology for expanding indoor coverage as well as the capacity of traditional cellular networks [1]. An energy-efficient resource block (RB) and power allocation task is modeled as a non-cooperative game for the two-tier femtocell network. The authors in [6] propose a joint resource and power allocation in self-organized femtocell networks by exploiting a potential game. The authors in [11] present a joint channel allocation and power control by using game learning mechanisms for cognitive radio networks They utilize the regret learning method for convergence to the Nash equilibrium. According to the best of the authors’ knowledge, the proposed game-based joint RB and power allocation of the two-tier femtocell networks is unique and has not been investigated so far The exploitation of both RB and power allocation maximize the energy efficiency and maximize the throughput which is shown in the results.
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