Dynamic shadow-power estimation for wireless communications

Extended Kalman Filtering and Pathloss Modeling for Shadow Power Parameter Estimation in Mobile Wireless Communications

In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for use in power control of mobile device a...

Dynamic throughput estimation for wireless video communications

Dynamic throughput estimation for wireless multimedia transmission is examined in this research. A novel dynamic mapping scheme from measurements of a real-world wireless environment to a discrete Markov model is first proposed to simulate wireless video packet-based transmission. Then, the available throughput is estimated by using the derived discrete Markov model together with the number of ...

Optical wireless communications with optical power and dynamic range constraints

Low-Power DSP’s for Wireless Communications

Wireless communications and more specifically, the fast growing penetration of cellular phones and cellular infrastructure are the major drivers for the development of new programmable Digital Signal Processors (DSP’s). In this tutorial, an overview will be given of recent developments in DSP processor architectures, that makes them well suited to execute computationally intensive algorithms ty...

CMOS RF Power Amplifiers for Wireless Communications

iii Populärvetenskaplig sammanfattning v Preface vii Contributions xi Abbreviations xiii Acknowledgments xv