A Precoding Real-Time Buffer Based Self-Healing Solution for 5G Networks  

作　　者：Tamer Omar Thomas Ketseoglou Omar Naffaa Asatur Marzvanyan Connor Carr Tamer Omar;Thomas Ketseoglou;Omar Naffaa;Asatur Marzvanyan;Connor Carr(Department of Electrical and Computer Engineering, California State Polytechnic University, Pomona, USA)

机构地区：[1]Department of Electrical and Computer Engineering, California State Polytechnic University, Pomona, USA

出　　处：《Journal of Computer and Communications》2021年第6期1-23,共23页电脑和通信（英文）

摘　　要：In order to meet key requirements imposed by transitioning to a 5G network, new network management techniques must be employed in order to increase network reliability and efficiency. Most notably, it is important that a Self-Organizing Network (SON) is able to recover autonomously from network failure or congestion through Self-Healing procedures (<i>i.e.</i> autonomous detection, diagnosis, and correction). This paper aims to develop a self-healing algorithm that can effectively “heal” a 5G network by testing a proposed self-healing algorithm within a network simulator that adheres to current 5G standards. The simulator developed in this paper aims to model a network of small cells that can inherit one of multiple states (healthy, congested, and failing) to validate the effectiveness of a programmed self-healing algorithm in recovering a simulated network. Results show that the application of a self-healing in a network is able to resolve issues related to Quality of Service (QoS) and reduced network data rates in portions of a network that are in a partially congested or failing state.In order to meet key requirements imposed by transitioning to a 5G network, new network management techniques must be employed in order to increase network reliability and efficiency. Most notably, it is important that a Self-Organizing Network (SON) is able to recover autonomously from network failure or congestion through Self-Healing procedures (<i>i.e.</i> autonomous detection, diagnosis, and correction). This paper aims to develop a self-healing algorithm that can effectively “heal” a 5G network by testing a proposed self-healing algorithm within a network simulator that adheres to current 5G standards. The simulator developed in this paper aims to model a network of small cells that can inherit one of multiple states (healthy, congested, and failing) to validate the effectiveness of a programmed self-healing algorithm in recovering a simulated network. Results show that the application of a self-healing in a network is able to resolve issues related to Quality of Service (QoS) and reduced network data rates in portions of a network that are in a partially congested or failing state.

关 键 词：SELF-HEALING MIMO-Beamforming Millimeter Wavelength Base Station LATENCY 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]