Self-Organized Cell Outage Detection Architecture and Approach for 5G H-CRAN

Peng Yu,Fanqin Zhou,Tao Zhang,Wenjing Li,Lei Feng,Xuesong Qiu

doi:10.1155/2018/6201386

Abstract

An attractive architecture called heterogeneous cloud radio access networks (H-CRAN) becomes one of the important components of 5G networks, which can provide ubiquitous high-bandwidth services with flexible network construction. However, massive access nodes increase the risk of cell outages, leading to negative impact on user-perceived QoS (Quality of Service) and QoE (Quality of Experience). Thus, cell outage management (COM) became a key function proposed in SON (Self-Organized Networks) use cases. Based on COM, cell outage detection (COD) will be resolved before cell outage compensation (COC). Currently few studies concentrate on COD for 5G H-CRAN, and we propose self-organized COD architecture and approach for it. We firstly summarize current COD solutions for LTE/LTE-A HetNets and then introduce self-organized architecture and approach suitable for H-CRAN, which includes COD architecture and procedures, and corresponding key technologies for it. Based on the architecture, we take a use case with handover data analysis using modified LOF (Local Outlier Factor) detection approach to detect outage for different kinds of cells in H-CRAN. Results show that the proposed approach can identify the outage cell effectively.

Highlights

The future 5G networks will provide ubiquitous highbandwidth network services for varieties types of heterogeneous terminals by integrating different advanced technologies, such as millimeter wave, large-scale MultipleInput Multiple-Output (MIMO) and Nonorthogonal Multiple Access (NOMA) for wireless access, and Software Defined Network (SDN), cloud computing for core networks [1]
We find that present cell outage detection (COD) approaches for LTE/LTE-A heterogeneous networks (HetNet) may not be suitable for heterogeneous cloud radio access networks (H-CRAN) due to their limited data sets and obvious outage alarm
We propose self-organized cell outage detection architecture and approach for 5G H-CRAN

Summary

Introduction

The future 5G networks will provide ubiquitous highbandwidth network services for varieties types of heterogeneous terminals by integrating different advanced technologies, such as millimeter wave, large-scale MultipleInput Multiple-Output (MIMO) and Nonorthogonal Multiple Access (NOMA) for wireless access, and Software Defined Network (SDN), cloud computing for core networks [1]. In 5G H-CRAN, Building Baseband Unit (BBU) pools are centralized into cloud computing node called NodeC [3] These nodes can communicate with each other and control regional access nodes such as remote radio heads (RRHs) and existing legacy communication entities (LCEs). All the NodeC are located in the cloud and connect to the Internet, and they can control ACEs and RRHs with wired or wireless fronthaul. LS-SON can reduce the complexity of cochannel interference management in H-CRAN to save the operating costs of all RRHs and ACEs. So it is used to coordinate the management functions of the entire network and improve the overall operational efficiency. This paper proposes a self-organized COD architecture and a corresponding approach for H-CRAN based on previous work and gives a use case with HO data analysis to evaluate them.

Related Work

COD Architecture and Approach for 5G H-CRAN

Key Technologies for COD

A Use Case for 5G H-CRAN COD

Result

Conclusions