Search Results for author: Semiha Tedik Basaran

Found 2 papers, 0 papers with code

An Experimental Study of NOMA for Connected Autonomous Vehicles

no code implementations3 Apr 2023 Eray Guven, Caner Goztepe, Mehmet Akif Durmaz, Semiha Tedik Basaran, Gunes Karabulut Kurt, Oguz Kucur

Connected autonomous vehicles (CAV) constitute an important application of future-oriented traffic management . A vehicular system dominated by fully autonomous vehicles requires a robust and efficient vehicle-to-everything (V2X) infrastructure that will provide sturdy connection of vehicles in both short and long distances for a large number of devices, requiring high spectral efficiency (SE).

Autonomous Vehicles Management

Energy-Efficient Over-the-Air Computation Scheme for Densely Deployed IoT Networks

no code implementations IEEE 2020 Semiha Tedik Basaran, Student Member, Gunes Karabulut Kurt, and Periklis Chatzimisios, Senior Member, IEEE

The proposed MMSE estimator provides a signif- icant mean squared error improvement with reducing en- ergy consumption compared to the conventional estimator.

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