دانلود رایگان مقاله خود بهینه سازی هماهنگ شده مبتنی بر مکان برای شبکه داخلی فمتوسل

Abstract

Current indoor femtocell networks pose many challenges that could end up into a congested or non-operative cellular communication. In this context, widespread Heterogeneous Cellular Networks (HCNs) and smart devices can provide information that, if well-processed, could support the operation, administration, management and provision (OAM&P) procedures to improve the indoor network performance. Thus, a proposal based on the Self-Organizing Networks (SON) paradigm and context information is described in this paper in order to overcome network degradations and failures. In particular, a coordinated self-optimization system is proposed to enhance extremely overloaded indoor femtocell networks and to reduce the energy consumption. This approach, which is supported by geo-located measurements, automates the network OAM&P procedures and provides the intelligence to network elements for a quick adaptation. Finally, the system performance is analyzed in a realistic simulated environment, where the improvement in network capacity, coverage as well as the efficient use of energy, are discussed.

7. Conclusions and future work

This paper has introduced the current challenges of temporary overcrowded HCNs at indoor environments and has proposed a coordinated self-optimization system. The aim was to homogenously balance users in the network to increase its capacity and coverage, at the same time maintaining a high global quality in voice connections and reducing the power consumption. The proposed location-based algorithms have been shown to enhance the network performance, from the point of view of the users’ satisfaction and energy efficiency. On the one hand, the MLB+LOC algorithm provides optimal configuration parameters to reduce as much as possible accessibility and retainability issues, prioritizing voice connections. On the other hand, the COOR+LOC system tries to improve both aspects, reaching a compromise. This means that a slight UDR degradation is obtained compared to the standalone MLB+LOC method because of the high energy-saving. A shorter period in the execution of the COOR+LOC algorithm could enhance its performance. The coordination of these methods is mandatory to avoid conflicts in self-optimization mechanisms. Future work will be focused on the development of new selfoptimization methods to analyze additional context-aware information. Moreover, the evaluation of these algorithms will be assessed in other realistic simulated scenarios and real testbeds with indoor-positioning system.