In this thesis, we study a joint optimization for wireless powered communication network (WPCN) with distributed massive multi-input multi-output (DM-MIMO) system. We maximize the uplink (UL) energy efficiency (EE) and max-min throughput by jointly optimize energy beamforming, time allocation, power allocation, and receive beamforming.
Generally, in a WCPN, user terminals are charged wirelessly from signals radiated by transmitters and then use the harvested energy to transmit information signals. Thus, wireless energy transfer (WET) time affects both UL transmit power and capacity. When WET time has a small range, the average UL transmit power for the users is increased as time increase. However, when WET time becomes large, the wireless information transfer (WIT) time becomes the dominant factor and thus the user rates are decreased. Also, energy efficiency and guaranteeing minimum throughput has been recognized as a crucial issue in WPCN. It is due to the harvested energy from radiated signal is usually very small.
Therefore, in this thesis, joint time allocation, power allocation, and beamforming optimization algorithms to solve EE maximization and max-min throughput maximization problem are proposed. The simulation results show that the proposed schemes can achieve a significant performance gain. Further, it reveals that the achievable EE and max-min capacity of the DM-MIMO is considerably higher than that of a conventional centralized massive multi-input multi-output (CM-MIMO) system.
