6G wireless communications networks: a comprehensive survey

The commercial fifth-generation (5G) wireless communications networks have already been deployed with the aim of providing high data rates. However, the rapid growth in the number of smart devices and the emergence of the Internet of Everything (IoE) applications, which require an ultra-reliable and low-latency communication, will result in a substantial burden on the 5G wireless networks. As such, the data rate that could be supplied by 5G networks will unlikely sustain the enormous ongoing data traffic explosion. This has motivated research into continuing to advance the existing wireless networks toward the future generation of cellular systems, known as sixth generation (6G). Therefore, it is essential to provide a prospective vision of the 6G and the key enabling technologies for realizing future networks. To this end, this paper presents a comprehensive review/survey of the future evolution of 6G networks. Specifically, the objective of the paper is to provide a comprehensive review/survey about the key enabling technologies for 6G networks, which include a discussion about the main operation principles of each technology, envisioned potential applications, current state-of-the-art research, and the related technical challenges. Overall, this paper provides useful information for industries and academic researchers and discusses the potentials for opening up new research directions

Ontology matching: a case of English translation of Al-Quran tafsir

The Al-Quran presents the sophisticated set of knowledge, which is organized in 30 Suras, with 6236 verses and several topics as the guidelines for every part of life. To comply with guidelines given by Islam, main challenges are to arrange, co-relate, extract, and find the correct meaning of knowledge engraved in these suras, juz, and verses. In this study, an argument in establishing ontology-matching technique is presented. The objective of this research is to present properties of Al-Quran tafsir knowledge. This study propose a highly granular ontology design for Al-Quran tafsir. Finally, to establish Ontology matching as knowledge management technique, this research presents experiments and results after applying word-matching technique. Presence of number of matching count in suras according to its theme proves the argument. © 2018 IEEE

Ontology matching: in search of challenges ahead

This paper presents key features and challenges for the development of the next generation ontology matcher. Matching elements of two data instances plays an important role in e-business, multilingual data instances, biomedical and open data cloud. This paper elaborates technologies, tools, algorithms and methods used by recent ontology matchers. Ontology matching has become a Meta Research field where research topics such as developing advanced reasoner, algorithms for optimum matching, working on Meta matchers and improving results are major open research areas. In order to find the future direction towards the development of optimum matchers we illustrated a list of future challenges, key features, and their importance. This paper does not propose solution or framework for an optimum matcher. Reader will get help in deciding next ontology matching techniques in his domain of ontology matching research

Heuristic Resource Allocation Algorithm for Controller Placement in Multi-Control 5G based on SDN/NFV Architecture

The integration of Software Defined Networking (SDN) and Network Function Virtualization (NFV) is considered to be an efficient solution that enables the forecasting of highly scalable, optimal performance of 5G networks by providing an effective means of network functionality. The distributed multi-controller architecture approach is an emerging strategy that primarily aims to support network functions performed through the application of a control plane, to provide versatile network traffic management. However, the management of resource allocations across multiple data centers is an important issue that still affects 5G core networks. Using such a strategy in 5G core networks requires the controllers to be correctly located, in order to improve network reliability and cost-effectiveness. Thus, to address the controller placement problem (CPP) in a distributed 5G network, we proposed an efficient, heuristic multi-objective optimization approach, using dynamic capacitated controller placement problem (DCCPP). It is based on the K-center problem, to solve the capacitated controller placement problem (CCPP), which acts as a resource location problem, in which the location and number of controllers can be allocated to maximize resources. A Greedy Randomized Search (GRS) algorithm was used to solve the dynamic assignment of nodes to controllers to achieve load balancing. The design of the heuristic method provides proper load balancing, efficient cost management, and network resource management, as compared to the basic CCPP model. The results indicate that the allocation and the optimum number of controllers under an effective decentralized policy could achieve a higher degree of efficiency through resource assignment in such a densified network