Variance Normalizing Transform for Performance Improvement in Radio-Over-Fiber Systems

Abstract:  Radio-over-fiber (ROF) will be an indispensable part of future wireless communication networks to support backhaul connectivity. The performance of ROF communication system is impaired by signal-dependent distortions in the optical fiber link such as shot noise and relative intensity noise. In this talk, these signal-dependent distortions of the ROF channel are analyzed in more details, and a variance normalizing technique is proposed to normalize the noise power. In effect, the signal-dependent noisy ROF channel is converted to a signal independent additive white Gaussian noise channel, for which the conventional signaling techniques are efficient. The results show significant performance improvements for the proposed technique in terms of signal-to-noise ratio.

Biography: Iman Tavakkolnia received his BSc degree in Electrical Engineering from University of Tehran, Iran, in 2011, and his MSc degree in Telecommunication from Sharif University of Technology in 2013. He is now working toward his PhD degree at the Institute for Digital Communications, University of Edinburgh. His research interests include optical fiber communication, nonlinear signal processing, and communication theory.