Waveform Design for Multimedia Airborne Networks: Robust Multimedia Data Transmission in Cognitive Radio Networks

摘要

The concept of compressive sampling has the potential of overcoming the hardware limitations for wideband radio frequency spectrum sensing in cognitive radio applications. Adaptive-link cooperative relaying strategies could also dramatically improve the range, reliability, bandwidth efficiency and energy efficiency of wireless networks. This report first examines whether it is possible to protect the best basis function for effective reconstruction of different types of signals using a variety of compressive sensing algorithms. Subsequently, the feasibility of dynamic wideband spectrum sensing via two distinct compressive sensing techniques are investigated. Tight bounds for the link spectral efficiency of amplify-and-forward cooperative diversity networks with independent but non-identically distributed fading statistics are studied by deriving the ergodic capacity of three distinct adaptive transmission techniques. The proposed new mathematical framework allows system designers to gain insights as to how adaptive transmission policies, fade distributions and dissimilar fading statistics across the diversity paths affect the maximum transmission rate in a cooperative relay network. Analytical expressions are also derived for the achievable spectral efficiency and average bit error rate of amplify-and-forward cooperative diversity network with a practical discrete-rate adaptive modulation scheme over Nakagami-m channels.