Performance of Sub-Nyquist Sampling Based on The MWC System for 5G Mobile Communication Networks

Abstract

The fifth-generation (5G) mobile network has been positioned to be a critical part of wireless communication networks. Decreasing receiver complexity and reducing power consumption are essential 5G communication systems design targets. One approach for achieving these goals is to employ sampling methods at sub-Nyquist rates that reduce the burden on hardware devices while enabling accurate reconstruction. Modulated Wideband Converter (MWC) is a system that uses a multichannel sampling method at a low sub-Nyquist rate, which leads to simple hardware. This paper investigates the application of multichannel sub-Nyquist sampling to high-frequency multiband signals in a 5G network. We sample and reconstruct multiband signals using the method based on MWC technology utilizing the concept of compressed sensing, which can prevent the difficulties of signal sampling caused by wide bandwidth and high frequencies. The signal is mixed with a pseudorandom sign waveform in each channel during the sampling stage. A lowpass filter filters the mixed signal before applying a low sampling rate. For the reconstruction of the signal, the system estimates spectrum support and then reconstructs the active bands of the signal. The experimental results indicate that the MWC system is an effective sampling method for multiband signals in both frequency ranges, sub-6 GHz frequencies and millimeter-wave frequencies, in 5G mobile communication networks, and its reconstruction performance is acceptable.