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      • A Survey on Wireless Mesh Networks and its Security Issues

        R. Regan,J. Martin Leo Manickam 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.3

        Wireless Mesh Networks (WMNs) are have secured a significant position in the technological world due to their unique characteristics. These networks are dynamic, self-healing, and self-organizing in which the nodes reflexively set-up and maintain mesh connectivity with each other. Having these characteristics, WMNs enjoy great benefits such as low-upfront costs, reliability, and prompt troubleshooting. Despite all these fringe benefits, one of the greatest challenges in wireless mesh networks is that they are exposed to a number of hazardous security vulnerabilities. In this paper we investigate WMNs security attacks, security goals and various defense mechanisms for defending the attacks.

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        Energy-efficient semi-supervised learning framework for subchannel allocation in non-orthogonal multiple access systems

        S. Devipriya,J. Martin Leo Manickam,B. Victoria Jancee 한국전자통신연구원 2023 ETRI Journal Vol.45 No.6

        Non-orthogonal multiple access (NOMA) is considered a key candidate technology for next-generation wireless communication systems due to its high spectral efficiency and massive connectivity. Incorporating the concepts of multiple-input-multiple-output (MIMO) into NOMA can further improve the system efficiency, but the hardware complexity increases. This study develops an energy-efficient (EE) subchannel assignment framework for MIMO-NOMA systems under the quality-of-service and interference constraints. This framework handles an energy-efficient co-training-based semi-supervised learning (EE-CSL) algorithm, which utilizes a small portion of existing labeled data generated by numerical iterative algorithms for training. To improve the learning performance of the proposed EE-CSL, initial assignment is performed by a many-to-one matching (MOM) algorithm. The MOM algorithm helps achieve a low complex solution. Simulation results illustrate that a lower computational complexity of the EE-CSL algorithm helps significantly minimize the energy consumption in a network. Furthermore, the sum rate of NOMA outperforms conventional orthogonal multiple access.

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