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Resource Allocation in Heterogeneous Networks: eICIC Approach

2016/04/19 by Trung Kien Vu, Vu, Trung Kien
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #cs.NI

paper · pdf · doi:10.48550/arxiv.1604.05773

14 figures, 46 pages, Master Thesis, submitted to Ulsan University Library, June 2014, Korea

openalex publication_date 2016/04/19 · arxiv created 2016/04/28 · arxiv updated 2016/04/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Heterogeneous Networks (HetNets) are introduced by the 3GPP as an emerging technology to provide high network coverage and capacity. The HetNets are the combination of multilayer networks such as macrocell, small cell (picocell and femtocell) networks. In such networks, users may suffer significant cross-layer interference. To manage the interference the 3GPP has introduced Enhanced Inter-Cell Interference Coordination (eICIC) techniques, Almost Blank SubFrame (ABSF) is one of the time-domain technique in the eICIC solutions. In this thesis, we propose a dynamically optimal ABSF framework to enhance the small cell user downlink performance while maintains the macro user downlink performance. We also study the mechanism to help the small cell base stations cooperate efficiently in order to reduce the mutual interference. Via numerical results, our proposed scheme achieves a significant performance and outperforms the existing ABSF frameworks in terms of user throughput and outage probability.

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