Date of Award


Degree Name

MS in Electrical Engineering


Electrical Engineering


College of Engineering


Payam Nayeri

Advisor Department

Electrical Engineering

Advisor College

College of Engineering


This thesis investigates the implementation and performance of Shuffled Faster than Nyquist (SFTN) signaling, a communication method that enhances spectral efficiency and provides physical layer security (PLS) in wireless communications. In Faster than Nyquist signaling, the Nyquist inter-symbol interference (ISI) criterion is exceeded, thereby increasing spectral efficiency. By varying the transmission rate of symbols above the Nyquist rate, SFTN signaling is able to obfuscate the timing of transmitted symbols with ISI. The work in this thesis evaluates the performance of SFTN in Additive White Gaussian Noise (AWGN) channels and the MATLAB 802.11ax fading channels. Results show that while SFTN signaling offers the ability to introduce PLS, the sensitivity of the waveform is significantly influenced by the choice of symbol transmission rates and channel conditions.