Interference Management for OFDMA-Based Femtocells
Date Issued
2014
Date
2014
Author(s)
Liang, Yu-Shan
Abstract
With the advance of mobile communication technology and the proliferation of wireless devices, end-users have high expectations for mobile broadband services. To realize this enormous data capacity, low-power base stations such as femtocells are often deployed for the next generation of wireless networks. Since femtocells are generally customer-deployed, an automatically organization is required to support plug and play. When femtocells are deployed in the same radio resource as neighboring cells, less predictable and strong inter-cell interference becomes as one of the most important challenges for dense deployment of femtocells. Therefore, it is of particular importance to manage the interference considering the critical issues in modern femtocell networks including self-organization, resource allocation and dense deployment.
In this dissertation, we propose three novel resource allocation algorithms to consider the aforementioned critical issues. The dissertation first starts with our self-organization procedure based on femtocell networks including self-configuration and self-optimization to manage the interference. Then, we present an effective resource allocation algorithm which is based on a femtocell management system (FMS) to allocate the less interfered radio resource for neighboring femtocells. To cope with the random and dense placement of femtocells, and the management performance problem of the FMS, we present a novel resource assignment algorithm by grouping the operations. While femtocells are only considered as an aggressor in the inter-cell interference scenario, an end-user is actually an aggressor/victim of non-serving femtocells. We propose a resource allocation algorithm which considers the position of end-users and its non-serving femtocells. Experimental results show the effectiveness and efficiency of our proposed algorithms.
Subjects
微型蜂巢式基地台
干擾管理
資源配置
基地台間之干擾
自動配置
自動優化
Type
thesis
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