ENodeB configuration, performance and fault management for coverage optimization

Visual Information Management for Network Configuration

The problem of monitoring and characterizing network traffic arises in the context of a variety of network management functions. For example, consider the five functions defined in the OSI Network Management Framework [20.1], i.e., configuration management, performance management, fault management, accounting management and security management. Traffic monitoring is used in configuration management for tasks such as estimating the traffic demands between different points in the network, so that network capacity can be allocated to these demands. In performance management, traffic monitoring can be used to determine whether the measured traffic levels exceed the allocated network capacity, thus causing congestion or delays. When a fault occurs in the network, traffic monitoring is used in fault management to help locate the source of the fault, based on changes in the traffic levels through the surrounding network elements. In accounting management, traffic monitoring is needed to measure the network usage by each customer, so that costs can be charged accordingly in terms of the volume and type of traffic generated. Finally, network traffic monitoring can be used in security management to identify unusual traffic flows, which may be caused by a denial-of-service attack or other forms of misuse.

Purpose The literature highlights the relevance of performance measurement and management system in small and medium enterprises (SMEs) to face the current competitive environment. However, a number of studies investigate how performance measurement and management system is effective for evolving and how contingency factors could influence this change. Newer experiences are sporadic and rarely investigated by researchers and practitioners. The purpose of this study is to identify the feasible evolutionary path of performance measurement and management system in leading SMEs to respond to current business challenges. Furthermore, it aims to contribute to the understanding of the role of key contingency factors influencing this evolution. Design/methodology/approach A longitudinal case study, based on retrospective and real-time investigations, is performed to investigate the primary evolutions of the performance measurement and management system and its key determinants. Findings The findings highlight two evolution paths, increasing the maturity of performance measurement. The first path highlights a strong command and control of performance management; the second path shows a democratic and participative of performance management. Moreover, management information system, organizational culture and management style are highlighted as key contingency factors in the change of performance management. Originality/value The authors contribute to knowledge in performance measurement field, showing how the efforts for developing performance measurement and management system in a leading SME could determine two different evolutionary paths. Furthermore, the paper describes the increasing role of organizational culture, management style and management information system in performance management evolution, as well as the relevance of online chats and social media in performance management activities.

The air traffic over Europe shows a continuos increase in the number of flights both at a national and international level. At the same time the amount of available airspace, particularly around hot spots like airports, is naturally limited. Therefore computer supported surveillance and guidance of aircraft becomes more and more important in order to provide for an adequate security level. The RADNET is a pan-European service based on a computer network for the realtime distribution of radar related data. A European standard, ASTERIX, is used as a common format for data exchange. As RADNET has to satisfy particularly strong requirements in terms of reliability and availability the system design uses fault tolerance methods at different levels. Filtering techniques and priority schemes are used to bound the amount of network traffic. A network management subsystem handles configuration, performance and fault management.

This paper proposes the customizable wireless management system (CWMS) to manage heterogeneous broadband wireless access (BWA) networks consisting of multi-vendor WiFi and WiMAX network elements (NEs) with different capabilities. The full customization can be realized by using a multiple-NEType (MNE) generator and metadata which defines characteristics of different NEs. The CWMS MNE-enabled platform provides different core management functionalities with configuration, fault and performance management, while advanced wireless management applications such as wireless link management, RF monitoring and analysis, can be incorporated.

This chapter introduces the IoT Service Platform, which is considered to be the cornerstone of successful IoT solutions. It illustrates that the Service Platform is responsible for many of the most challenging and complex tasks of the solution. It automates the ability to deploy, configure, troubleshoot, secure, manage and monitor IoT entities, ranging from sensors to applications, in terms of firmware installation, patching, debugging and monitoring to name just a few. The Service Platform also provides the necessary functions for data management and analytics, temporary caching, permanent storage, data normalization, policy-based access control and exposure. Given the complexity of the Services Platform in IoT, the chapter groups the core capabilities into 11 main areas: Platform Manager, Discovery & Registration Manager, Communication (Delivery Handling) Manager, Data Management & Repository, Firmware Manager, Topology Management, Group Management, Billing and Accounting Manager, Cloud Service Integration Function / Manager, API Manager and finally Element Manager addressing Configuration Management, Fault Management, Performance Management and Security Management across all IoT entities.

Radiofrequency identification (RFID) is an enabling technology that can provide organizations with unprecedented improved visibility and traceability of items throughout their journey in the value chain. As RFID deployments are scaling-up from pilot projects and proof-of-concept trials towards fully-fledged enterprise applications, RFID system management challenges will escalate. This paper takes an in-depth look at the management aspects of RFID systems. The current state-of-the art of RFID systems management is exposed, whereby various approaches are discussed under five functional areas, namely configuration, fault, performance, accounting and security management. The paper also highlights some future trends and open research areas that can potentially trigger further interests and investigations in this important topic.

Network and Service analytics can harness the immense stream of operational data from clouds, to services, to social and communication networks. In the era of big data and connected devices of all varieties, analytics and machine learning have found ways to improve reliability, configuration, performance, fault and security management. In particular, we see a growing trend towards using machine learning, artificial intelligence and data analytics to improve operations and management of information technology services, systems and networks.

Management of today's optical transport networks typically includes some or all of fault, configuration, accounting, performance, and security (FCAPS) management. Carrying this management information across the network requires the presence of a management communications network (MCN), also referred to as the data communications network (DCN). The MCN itself needs FCAPS management. The availability of management for the MCN is very sparse in today's management systems, and this paper is a first step towards addressing the problem. We describe algorithms for planning, designing, and analyzing the MCN. Central to these algorithms is a graph representation of the entire network. Our treatment views the management of the MCN as an extension of the management of the transport network. We envision this work as the basis for a suite of applications that can improve the management of the communications infrastructure in optical transport networks.

On the road to the sixth generation of cellular networks (6G), the need to ensure a sustainable usage of natural resources, amid increased competition and cost pressures, has driven the adoption of Self-Healing Mobile Networks to enhance operational efficiency of current and future wireless networks. This paradigm shift relies on Artificial Intelligence (AI) to increase automation of network functions, notably by applying predictive fault detection and automatic root-cause analysis. In this context, this paper proposes a Deep Learning (DL) model for self-healing operations based on a Spatial Graph Convolutional Neural Network (SGCN), which is applied to evaluate the performance degradation of Base Stations (BSs) and uncover the underlying root-causes. The advantages of the proposed DL model are threefold. Firstly, it is especially suited for wireless network applications, leveraging the SGCN to account for spatial dependencies among BSs and their physical characteristics. Secondly, the proposed model offers the flexibility to process diverse types of predictive features, including Performance Management (PM), Fault Management (FM), or other data types. Thirdly, it incorporates an explainability module that pinpoints the input features, such as PM counters, with the most significant influence on BS performance, thereby shedding light on its root-cause factors. The proposed model was evaluated on a live 4G network dataset and the results confirmed its effectiveness in identifying BS performance degradation. An F1-score of 89.6% was achieved in the classification of performance failures, which includes a 27% reduction in false negatives compared to prior research outcomes. In a live network environment, this reduction translates into substantial improvements in Quality of Experience (QoE) for the end users and cost savings for the Mobile Network Operators (MNOs).

Element Management System (EMS) is a system to manage network element (NE) for Ethernet Passive Optical Network (EPON). This allows the user to manage all the features of each network element (NE) individually. Network element (NE) exposes one or more management interfaces that the EMS uses to communicate with and to manage them. EMS has been design to fulfill FCAPS criteria which consist of fault management, configuration management, accounting management, performance management and security management. EPON is an emerging access network technology that provides a low-cost method of deploying optical access lines between a carrier’s central office and a customer site. EPON build on the International Telecommunications Union (ITU) standard G.983 for asynchronous transfer mode PON (APON) and seek to bring to life the dream of a full-services access network (FSAN) that delivers converged data, video, and voice over a single optical access system.

The advantages of avionics switched network in network scale and flexibility greatly improve the communication performance of avionics network, promote the development of IMA/DIMA technology and also increase network scale and complexity. Meanwhile, requirements for the management of the avionics system are also on the rise. In this paper, the characteristics of SNMP protocol and airborne switched network are analyzed. The IMA/DIMA system structure is outlined and key demands for system management are extracted According to an IMA system model adopting AFDX as its backbone network with cascading dual integrate processing computers for backup and interconnection, the system management functions of the IMA system are realized in line with the ARINC653 standard partition operating system based on the SNMP protocol, including structure management, fault management, configuration management, etc. specific to LRM/LRU and attached devices under the IMA/DIMA system as well as the dual-machine hot backup function, which can be applied in an IMA/DIMA system consisted of AFDX/FC/TTE and several other airborne switched networks.

Multiperiod planning provides cost efficient solutions for long-term operated networks by taking time dependent input into account. To ensure the operation of the network services, even in the event of a failure, the implementation of resilience methods (fault management) is considered. In this paper two different schemes of protection and their suitability for multiperiod operated networks are studied. Benefits are expected by adapting protections schemes which can evolve over time (configuration management). Thus, we compare Shared Backup Path Protection with 1+1 Protection using two different multiperiod approaches, Incremental planning for an upper bound and End-of-Life planning for a lower bound of the network costs.

Airborne network is one of the key technologies of aircraft avionics system. The real-time performance,fault tolerance and correctness of network behavior of it will affect the overall performance of aircraft,and a proper management of it will give an effective play to the performance of the avionics system.Based on research for avionics system network architecture,an avionics system architecture module with cascade double CPC was proposed,taking AFDX network as the backbone network. On the basis of which,as well as in combination with the characteristics of AFDX network and method of TCP / IP network management,research on AFDX network management technology was carried out. Methods of AFDX network management and its implementation were analyzed,such key requirements as its architecture management,fault management and configuration management were proposed,and the network management software was implemented in Vx Works653 operating system.

This study aims to analyze the effects of budget participation (BP) on managerial performance (MP) through serial mediation of psychological empowerment (EP) and creativity (CT). The relationship between BP and MP motivates researchers to investigate intermediate variables to understand whether BP improves performance. This study fills this gap in examining PE and CT. CT and PE are critical factors for organizations’ success in the current business environment, characterized by rapid changes and high competitiveness. While PE creates an environment conducive to expressing CT, in turn, CT allows organizations to innovate and adapt to change, leading to a better MP. BP emerges as an effective strategy for promoting a more empowered and creative work environment, which, in turn, indirectly impacts MP. A survey was conducted with 267 companies listed on the Brazilian stock exchange B3 S.A. To test the hypotheses, we used partial least squares structural equation modeling, and additional analysis with importance-performance map analysis (IPMA). The results indicate that BP influences PE, which in turn boosts CT and, finally, CT positively affects MP. This study contributes to the literature by integrating PE and CT in analyzing the relationship between BP and MP. Regarding management implications, it is suggested that managers can leverage BP as a strategy to promote employees' PE and CT, aiming to improve MP.