Next-generation of the cellular network will attempt to overcome the limitations of the current Fifth Generation (5G) networks and equip itself to address the challenges which become obvious in the future. Currently, academia and industry have focused their attention on the Sixth Generation (6G) network, which is anticipated to be the next big game-changer in the telecom industry. The outbreak of COVID’19 has made the whole world to opt for virtual meetings, live video interactions ranging from healthcare, business to education. However, we miss an immersive experience due to the lack of supporting technology. Experts have anticipated that starting from the post-pandemic age, the performance requirements of technology for virtual and real-time communication, the rise of several verticals such as industrial automation, robotics, and autonomous driving will increase tremendously, and will skyrocket during the next decade. In this manuscript, we study the latest perspectives and future megatrends that are most likely to drive 6G. Initially, we describe the instances that lead us to the vision of 6G. Later, we narrate some of the use cases and the KPIs essential to meet their performance requirement. Further, we highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for 6G.

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6G Ecosystem: Current Status and Future Perspective

The utility of virtual circuit (VC) based devices - UAVs, Drones, and similar other IoT based devices have gained immense momentum in the present day and age. These devices are predominantly used for aerial surveying in sensitive and remote areas. It is alarming that issues pertaining to stalking and information control have increased with the growth of technology. This paper presents a Blockchain Technology (BCT) based solution to improve the security and privacy of VC based device data. The proposed design is evaluated by implementing an IoT based application in a virtual vehicle monitoring system. The technical information about the instructions to the vehicle (devices), authentication, integrity, and vehicle reactions are stored in a cloud platform wherein Pentatope based Elliptic curve cryptography and SHA are used to ensure privacy in data storage. The data is later stored in an Ethereum based public blockchain to enable seamless BCT transactions. This system uses the Ganache platform for BCT that ensures data protection and privacy. Furthermore, metamask wallet for E t h balance is required to perform transactions over BCT. The proposed methodology thus helps to protect data from stalkers, plaintext attacks as well as ciphertext attacks. The results, when compared with the state-of-the-art, justify the efficiency and security aspects of the proposed approach.

Security and privacy of UAV data using blockchain technology

Emerging Enabling Technologies for Industry 4.0 and Beyond

The 5G networks which have begun to spread worldwide are expected to contribute to an increase in the use of Internet of Things (IoT) technologies and applications, which require massive connectivi...

6G and Internet of Things: a survey

Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insight to make smart decisions from a massive amount of data. As the performance of routine operation can be improved by smart decisions and smart decisions need the support from routine operation to collect relevant data, there is an increasing amount of research effort in the merge between Industry 4.0 and data analytics. To better understand current research efforts, hot topics, and tending topics on this critical intersection, the basic concepts in Industry 4.0 and data analytics are introduced first. Then the merge between them is decomposed into three components: industry sectors, cyber-physical systems, and analytic methods. Joint research efforts on different intersections with different components are studied and discussed. Finally, a systematic literature review on the interaction between Industry 4.0 and data analytics is conducted to understand the existing research focus and trend.

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Data Analytics in Industry 4.0: A Survey.

6G represents the next generation of mobile communication and mobile networking. Following the previous five generations of mobile communication systems (from 1G to 5G), the development of the 6G m...

Xue Ning

Papers

A vision of 6G – 5G's successor