Shaswat Satapathy

As a subscriber becomes more aware of the mobile phone technology, he/she will seek for an appropriate package all together, including all the advanced features of a cellular phone can have. Hence, the search for new technology is always the main intention of the prime cell phone giants to out innovate their competitors. In addition, the main purpose of the fifth generation wireless networks (5G Wireless networks) is planned to design the best wireless world that is free from limitations and hindrance of the previous generations. At the moment, it’s not yet clear which technologies will do the most for 5G in the long run, but a few early favorites have emerged. The front-runners include millimeter waves, small cells, massive MIMO, full duplex, and beamforming. To understand how 5G will differ from today’s 4G networks, it’s helpful to walk through these five technologies and consider what each will mean for wireless users.

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Stable Matching Based Resource Allocation to Maximize Throughput and Minimize Interference in 5G Networks

Recent breakthroughs in Artificial Intelligence (AI) and Machine Learning (ML), including deep neural networks and probability models, and the availability of powerful computing platforms are providing us with technologies to perform tasks that once seemed impossible. The areas of interest include, but are not limited to, the following: AI-enabled Mobile Networks Design, Deep Learning/Machine Learning in Wireless Communications and Networking and Cognitive Radio, AI-based Network Intelligence for IoT, AI-enabled Ultra-Reliable and Low-Latency Communications AI-enabled Network Softwarization and Virtualization, the Design of AI-enabled Hardware for Communications System.

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Multi-arm Multi-player bandits in wireless Ad-Hoc Networks Machine Learning in Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks

CPS include traditional embedded and control systems, and these will be transformed by new approaches from IoT. However, the challenge for IoT and CPS remains security and risk management. As less rigorously controlled systems are linked then risk becomes distributed and the provenance of software components becomes difficult to trace. This gives rise to questions around risk management and liability for breaches or damages. As demonstrated in the 2014 Target hack, via their heating, ventilation and air conditioning provider's system, third party systems are now attack vectors. Further, regulators have not yet addressed this issue of distributed or daisy-chained risk arising from connected systems. Attacks on connected systems from nation-state actors and non-state actors are also an increasing threat: "According to Crowdstrike researchers, targeted intrusions will continue to proliferate and nation-states will use espionage to collect information from any organization with valuable data that will serve the country's national interests.The big challenges that are raised by IoT and CPS center on risk, security, geopolitics, trust, and privacy.

Wireless sensor networks are a new type of networked systems, characterized by severely constrained computational and energy resources, and an ad hoc operational environment. When wireless sensor networks are deployed in a hostile terrain, security becomes extremely important, as they are prone to different types of malicious attacks. Due to the inherent resource limitations of sensor nodes, existing network security methods, including those developed for Mobile Ad-Hoc Networks, are not well suitable for wireless sensor networks. As a crucial issue security in wireless sensor networks has attracted a lot of attention in the recent year. Researchers are working on a thorough analysis of the major security issue and presented the ongoing aspect of further development to designers in their struggle to implement the most cost effective and appropriate method of securing their network.

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