• Analytic Solutions for Optimal Training on Fading Channels

      Kosbar, Kurt; Panagos, Adam; University of Missouri (International Foundation for Telemetering, 2006-10)
      Wireless communication systems may use training signals for the receiver to learn the fading coefficients of the channel. Obtaining channel state information (CSI) at the receiver is often times necessary for the receiver to correctly detect and demodulate transmitted symbols. The type of training signal, the length of time to spend training, and the frequency of training are all important parameters in these types of systems. In this work, we derive an analytic expression for calculating the optimal training parameters for continuously fading channels. We also provide simulation results showing why this training scheme is considered optimal.
    • Cognitive Ad-hoc Wireless Networks

      Kosbar, Kurt; Panagos, Adam; Telemetry Learning Center (International Foundation for Telemetering, 2006-10)
      Spectrum allocation in wireless communication and telemetry systems of the future may be performed in a dynamic and distributed manner, as opposed to static centralized regulations currently in place. This paper surveys a new area of research in the communications field known as cognitive radio which will allow dynamic sharing of spectral bands. An introduction to cognitive radio, a review of existing research results, and discussion of open problems in the area is provided.