The current study aims to investigate the effect of ADCs’ resolution on the performance of a SWIPT-based communication system whose architecture is based on separated receivers and the use of fully digital beamforming in the transmitter. Also, the quantization effect is modeled using the Bussgang linear method. In this thesis, two optimization problems are proseped, the first aiming at minimizing transmit power subject to the quality of service constraint along with beamforming coefficient vectors for the multi-antenna transmitter, as optimization variables. As a non-convex QCQP, this problem is dealt with using the SDR method, but since this method has some losses in general, we also explained the iterative method of MaMi. The simulation results indicate that if low-resolution converters are used in the Information Decoder receiver to reduce its power consumption, the rise in the transmit power at the base station is not significant. Taking the number of converter’s bits into account along with the beamforming coefficients as the optimization variables, the second optimization problem attempts to maximize energy efficiency from the perspective of the Information Decoder receiver. Since this non-convex problem cannot be solved considering all variables simultaneously, applying an iterative algorithm of Alternating Optimization is proposed. Also, in each iteration of this method, the MaMi technique is used to deal with the non-convex subproblem. The simulation results of this problem demonstrate the relationship between energy efficiency and ADC resolution for different values of system parameters. Due to the importance of both power and information transmission in SWIPT-based systems, energy efficiency vs. spectral efficiency diagrams are presented for different ADC resolutions of 1 to 12 bits. Furthermore, all simulations are repeated for bandwidth in the order of GHz, equivalent to millimeter wave region. The obtained results confirm the use of low-resolution converters in high bandwidth with a reasonable trade-off between spectral and energy efficiency. Simultaneous Wireless Information and Power Transfer, Analog to Digital Converters, Energy Efficiency, Millimeter Wave
