Resource Allocation for Femtocells and Macrocell Underlaying Networks
Date Issued
2014
Date
2014
Author(s)
Chiang, Kai
Abstract
In femtocell and macrocell underlaying network, thank to spetrum reusage of Marcro base station, femto base stations can increase throughput and coverage of the cellular network effectively. However, cross-tier interference and co-tier interference come with the spectrum reusage and remain as a serious challenge to be dealt with.
In this thesis, we propose a centralized algorithm based on the graph theory. The algorithm constructs a weighted interference graph based on interference amount among femto base station, and the number of served users by each femto base station. The available spectrums for femto base stations are divided into two categories: Macro User Equipments (MUEs)-free subchannels and MUEs-occupied subchannels. In the first part of the thesis, we will discuss how to allocate the MUEs-free subchannels. According to the weighted interference graph, femtocells are grouped in order to minimize the co-tier interference by the proposed clustering algorithm. In the second part, we dicuss how to reuse MUEs-occupied subchannels and minimize co-tier and cross-tier interference at the same time by extending the clustering algorithm proposed in chapter 2. Finally, a dynamic resource sharing scheme is amended considering MUEs'' mobility. A markovian state machine is introduced to model the entering and leaving behaviors of MUEs. Consequently, this state machine is merged into the proposed clustering scheme and a dynamic clustering algorithm is achieved.
Subjects
毫微微型基地台
資源分配
干擾管理
干擾圖
同層干擾
跨層干擾
Type
thesis
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