Praneeth Jayasinghe

Learn More
In this letter, we propose a secure beamforming scheme for physical layer network coding (PNC) based multipleinput multiple-output (MIMO) two-way relaying system. The relay node performs PNC mapping. An eavesdropper is attempting to intercept the user information. The channel state information (CSI) of the user-to-eavesdropper channel is imperfect at the(More)
This paper investigates several bi-directional signaling strategies to facilitate decentralized beamformer design in a dynamic time division duplexing (TDD) system. A small-cell network with multi-antenna base stations and user terminals is considered, where the cells are operating either in uplink or downlink mode depending on the instantaneous traffic(More)
This paper presents a secure beamforming design to prevent eavesdropping on multiple-input multiple-output (MIMO) device-to-device (D2D) communication. The devices communicate via a trusted relay which performs physical layer network coding (PNC), and multiple eavesdroppers are trying to intercept the device information. The beamforming design is based on(More)
In this paper, we present the channel measurement results of vehicle-to-vehicle (V2V) measurement campaign carried out in Oulu city center, Finland. The measurements were conducted with EB Propsound CS at 2.3 GHz and 5.25 GHz center frequencies. The antennas were installed on the roof of the vehicles and the measurements were performed for single-input(More)
This paper investigates the performance of dualhop multiple antenna amplify-and-forward relaying system of transmit beamforming (TB) and maximum ratio combining considering feedback delay and co-channel interference (CCI) at the relay node. Source-relay and relay-destination channels experience Rayleigh and Rician fading respectively. TB vector is(More)
Currently used description based image retrieval is not suitable for an effective image search with a large unstructured repository of images. Thus to overcome the issue the concept of Content Based Image Retrieval (CBIR) aroused, where image search is done using the features which can be extracted from the image content. Color, edge, shape and texture are(More)