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Kandeepan Sithamparanathan

Researcher at RMIT University

Publications -  18
Citations -  202

Kandeepan Sithamparanathan is an academic researcher from RMIT University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 4, co-authored 11 publications receiving 141 citations. Previous affiliations of Kandeepan Sithamparanathan include Commonwealth Scientific and Industrial Research Organisation.

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Cognitive Radio Techniques: Spectrum Sensing, Interference Mitigation, and Localization

TL;DR: In this paper, the authors provide an in-depth treatment of the core enablers of cognitive radio technology, focusing on critical areas that have not been sufficiently covered in existing literature.
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Experimental Demonstration of Indoor Infrared Optical Wireless Communications With a Silicon Photonic Integrated Circuit

TL;DR: The outcomes successfully demonstrate the feasibility of using silicon photonic integrations in indoor optical wireless communication systems to realize compact and low-cost solutions.
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Interference Mitigation in Automotive Radars Using Pseudo-Random Cyclic Orthogonal Sequences.

TL;DR: This paper proposes a novel interference mitigation approach based on pseudo-random cyclic orthogonal sequences (PRCOS), which enable sensors to rapidly learn the interference environment and avoid using frequency overlapping waveforms, which results in a significant interference mitigation with analytically tractable statistical characterization.
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Mitigating DDoS Attacks in SDN-Based IoT Networks Leveraging Secure Control and Data Plane Algorithm

TL;DR: DDoS attacks in the SDN-based IoT network are easier to detect than in the traditional network due to IoT traffic predictability, and it is observed that random traffic is more affected during DDoS attacks.
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Energy efficient and delay aware ternary-state transceivers for aerial base stations

TL;DR: This paper proposes a novel strategy for further improving energy efficiency by considering ternary state transceivers for an AeBSs, and proposes a Markovian Decision Process (MDP) based algorithm, which intelligently switches between three states of the transceIVERS based on the offered traffic meanwhile maintaining a prescribed minimum channel rate per user.