Due to the rapid development of the fifth-generation (5G) applications, and increased demand for even faster communication networks, we expected to witness the birth of a new 6G technology within the next ten years. Many references suggested that the 6G wireless network standard may arrive around 2030. Therefore, this paper presents a critical analysis of 5G wireless networks’, significant technological limitations and reviews the anticipated challenges of the 6G communication networks. In this work, we have considered the applications of three of the highly demanding domains, namely: energy, Internet-of-Things (IoT) and machine learning. To this end, we present our vision on how the 6G communication networks should look like to support the applications of these domains. This work presents a thorough review of 370 papers on the application of energy, IoT and machine learning in 5G and 6G from three major libraries: Web of Science, ACM Digital Library, and IEEE Explore. The main contribution of this work is to provide a more comprehensive perspective, challenges, requirements, and context for potential work in the 6G communication standard.

From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

Multimedia big data brings tremendous challenges as well as opportunities for multimedia applications/services In this paper, we present a survey and tutorial for multimedia big data After discussing the characteristics of multimedia big data such as human-centricity, multimodality, heterogeneity, unprecedented volume, and so on, this paper provides an overview of the state-of-the-art of multimedia big data, reviews the latest related technologies, and discusses the technical challenges We conclude this paper with a discussion of open problems and future directions

A survey of multimedia big data

Enterprise architecture breakthrough for telecommunications transformation: A reconciliation model to solve bankruptcy.

Telecom professionals have a strong interest in the proposition and adaptation of innovate network management models and frameworks to help mobile network operators (MNOs) to improve their business processes and get more agile in the telecoms industry that evolves with great speed. The model being established by the TeleManagement Forum (TM Forum) is the Enhanced Telecom Operations MAP (eTOM) business process framework on which we rely in this work to propose a mapping of the eTOM model onto the network functions virtualization (NFV) framework with the projection of this function mapping onto the IP Multimedia Subsystem (IMS) use case. This mapping covers essentially four main components playing important rules in the MNO's business processes, including customers, services, infrastructure resources, and also service providers. The main goal, thereby, is to design a combined architecture in a virtualized environment for dynamic delivery of services with quality of service (QoS) and improved resource performance so as to meet the purposes of the 5G network in terms of a proposed, virtual telecom environment managed and orchestrated by the conjunction of the aforementioned paradigms. Indeed, we conducted simulations to evaluate part of this function mapping in an IMS setting for static service chain provisioning. Thus, results showed possible provisioning of services in this context in measuring SIP related key performance indicators and performance metrics. Results showed the feasibility of our approach. In addition, resource performance improved obviously in the NFV context in accordance with eTOM business processes.

eTOM Mapping onto NFV Framework: IMS Use Case

The mobile network operators (MNOs) that are deploying the IP Multimedia Subsystem (IMS) experience rapid growth of mobile contents and mobile subscribers' requests. Consequently, system performance could be affected and the management of different types of content resources gets expensive and gradually harder. In fact, with the emergence of the big data technology, MNOs must think of making the most of it to introduce new big data based value-added services and ameliorate the IMS system performance and management. In this paper, we propose an extended architectural framework of the 4G LTE system by merging the IMS platform and Hadoop modules for the purposes of both the distributed storage of IMS service resources and the computing service that is suggested in this study for meeting future mobile consumers' needs in mobile computing terms. During experiments, we evaluate the quality of both the system and service. As a result, the propounded architectural framework improves server utilization and quality of service slightly varies.

An extended IMS framework with a high-performance and scalable distributed storage and computing system

Because of the rapid growth of the number of mobile user requests and media files on demand, system performance could be negatively impacted and the management of different sorts of media files becomes costly and increasingly difficult. In this article we propose an innovative architecture combining the IP Multimedia Subsystem (IMS) platform and the Hadoop system for use in the distributed storage of IMS service resources and for the purposes of the computing service that is proposed in this work for responding to mobile end-users' needs in terms of mobile computing through the IMS network. As a result, we obtain a controllable Hadoop-based data center for telecommunications service providers. Moreover, for the proposed computing service, MapReduce analysis is also used to create new revenues and improve the IMS computing capabilities. In this article, we present a high-performance and scalable distributed storage and computing system for IMS services through different scenarios of service provisioning, storing and computing processes. Via experiments, the system performance is determined. Furthermore, the experimental results prove the system availability and scalability by sharing out more distributed resources for further IMS services using Hadoop Distributed File System (HDFS), YARN, and the Hadoop distributed cache mechanism. The proposed architecture in addition considerably minimizes response time, maximizes throughput and server utilization gets improved.

A high-performance and scalable distributed storage and computing system for IMS services

One of the considerable use cases for network functions virtualization (NFV) is the IP multimedia subsystem (IMS). With the emergence of software defined network (SDN) and NFV, the mobile network operators (MNOs) that are deploying the IMS look to make a gain from these leading technologies to mitigate hardware costs and reduce time to market. With the use especially of the NFV approach, the MNO looks for scaling services up and down fast and also reduce costs to align with network usage. In this paper, we give an introduction to a virtualized IMS based telecommunications platform called Telecom Cloud Manager as a virtualized and extended architecture of the 4G/LTE system, being defined by the 3GPP, toward a proposed five generation (5G) paradigm. We intend to migrate all IP switching layers to virtualized entities, including servers and network elements, by using one of the leading virtualization technologies and concepts involving a cloud manager, and an NFV framework. On that account, we set up a testbed system with the goal of evaluating the behavior of a virtualized IMS core network, as part of telecom operators' networks, within a static service provisioning context. Experiment results show that resource performance could be enhanced quickly in the case of unforeseen degradation by supporting a new VNF based service chain.

Opening into a virtualized IMS based telecom architectural framework: Telecom cloud manager

With the emergence of the software defined network (SDN) and network functions virtualization (NFV) initiatives, mobile network operators (MNOs) look to make a gain from these leading technologies to mitigate hardware costs and reduce time to market. Especially with the use of NFV models, the MNO looks for scaling services up and down fast and also to reduce costs to align with network usage. Those procedures are conducted through flexible service chaining through implemented SDN controller functions along with NFV orchestration modules. In this paper, we give an introduction to a virtualized, flexible mobile network service chaining approach in an NFV environment, as an extended architecture of the 4G/LTE system defined by the 3GPP in order to draw a new design in favor of the 5G network, more especially from an Internet Protocol (IP) and Session Initiation Protocol (SIP) based network point of view. In this paper, we present our approach for dynamic and static service chaining. Moreover, as the IP Multimedia Subsystem (IMS) is one of the considerable use cases for NFV, we set up a testbed system with the goal of evaluating the behavior of a virtualized IMS core network, as a part of operator-based services, within a static service provisioning context. Experiment results show that the IMS system performance could be enhanced quickly in the case of unforeseen degradation by supporting a new VNF based service function path. In addition, SIP key performance indicators get enhanced in terms of registration delay and mean.

Youssef Seraoui

Papers

A high-performance and scalable distributed storage and computing system for IMS services

eTOM Mapping onto NFV Framework: IMS Use Case

An extended IMS framework with a high-performance and scalable distributed storage and computing system

Opening into a virtualized IMS based telecom architectural framework: Telecom cloud manager

Flexible Mobile Network Service Chaining in an NFV Environment: IMS Use Case