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Ilavarasan Tamilarasan
Researcher at Anna University
Publications - 5
Citations - 12
Ilavarasan Tamilarasan is an academic researcher from Anna University. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Computer science. The author has an hindex of 2, co-authored 3 publications receiving 6 citations.
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Priority-Based Resource Allocation and Energy Harvesting for WBAN Smart Health
Poongundran Selvaprabhu,Sunil Chinnadurai,Ilavarasan Tamilarasan,R. Venkatesan,Vinoth Babu Kumaravelu +4 more
TL;DR: A priority-based resource allocation scheme and smart channel assignment in a wireless body area network capable of energy harvesting and the results demonstrate that the proposed scheme significantly improves the quality of the network service in terms of data transmission for higher priority users.
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Improved fiber nonlinearity mitigation in dispersion managed optical OFDM links
TL;DR: In this paper, the authors have compared the linear and nonlinear PAPR reduction techniques for fiber nonlinearity mitigation in OFDM based dispersion managed links in the existing optical systems, linear transform techniques such as SLM and PTS have been implemented to reduce nonlinear effects.
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Impairment assessment of orthogonal frequency division multiplexing over dispersion-managed links in backbone and backhaul networks
TL;DR: A comprehensive analytical model for impairments in OFDM-based fiber links is developed and it is suggested that OFDM would perform better for uncompensated links than the compensated links due to the negligible FWM effects and there is a need for flexible compensation.
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Energy and electromagnetic pollution considerations in ARoF-based multi-operator multi-service systems
TL;DR: The estimated minimum transmission power sufficient to establish and maintain a quality connection suggests the possibility of eliminating the energy consuming power amplifiers in the transceivers and also achieve a reduced electromagnetic pollution in the environment.
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Deployment of hybrid FSO/RoF links for 5G heterogeneous networks
TL;DR: In this article , a hybrid FSO/RoF with a cognitive algorithm is proposed to overcome the limitations of existing methods, which assesses the channel conditions based on various parameters and selects the optimum one for transmission.