Kiran Venugopal

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The potential of millimeter wave (mmWave) frequencies for device-to-device communication among wearable electronics is enormous for applications requiring Gbps through-put. In a dense usage scenario such as inside a train car or airplane cabin, many devices may be present within close proximity where interference is significant. Previous work that models(More)
Emerging applications involving device-to-device communication among wearable electronics require Gbps throughput, which can be achieved by utilizing millimeter wave (mmWave) frequency bands. When many such communicating devices are indoors in close proximity, like in a train car or airplane cabin, interference can be a serious impairment. This paper uses(More)
—The millimeter wave (mmWave) band has the potential to provide high throughput among wearable devices. When mmWave wearable networks are used in crowded environments, such as on a bus or train, antenna directivity and orientation hold the key to achieving Gbps rates. Previous work using stochastic geometry often assumes an infinite number of interfering(More)
Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve both array and multiplexing gain. The design of the hybrid precoders and combiners, though, is usually based on knowledge of the channel. Prior work on mmWave channel estimation with hybrid architectures focused on narrowband channels. Since mmWave systems will be(More)
—Simultaneous use of high-end wearable wireless devices like smart glasses is challenging in a dense indoor environment due to the high nature of interference. In this scenario, the millimeter wave (mmWave) band offers promising potential for achieving gigabits per second throughput. Here we propose a novel system model for analyzing system performance of(More)
—Vehicle-to-infrastructure (V2I) communication may provide high data rates to vehicles via millimeter-wave (mmWave) microcellular networks. This paper uses stochastic geometry to analyze the coverage of urban mmWave microcellular networks. Prior work used a pathloss model with a line-of-sight probability function based on randomly oriented buildings, to(More)
This paper establishes the feasibility of mmWave frequencies for personal networks of wireless wearable devices in enclosed settings (e.g. At these frequencies, specular reflections off surfaces are expected to contribute to the capture of intended signal power and, simultaneously, to aggravate the interference at the receivers. Meanwhile, blockages by(More)
– By making use of Genetic Algorithm, Optimization problems can be solved and the best fit individual can be selected out of a given population. Artificial Neural Networks, a part of Artificial Intelligence, are used to simulate Human Intelligence on a machine. Cryptography is the science and art of encrypting data so that only the intended receiver can(More)