Large-system analysis of ergodic sum-rate in wireless-powered MIMO communication network

We use large-system analysis to investigate the ergodic sum-rate maximization problem in a wireless-powered multiple-input multiple-output communication network consisting of a multiple-antenna hybrid access point (HAP) and multiple-antenna users. Every user harvests energy from the HAP in the downlink to support its uplink information transmission. The downlink and uplink channels between the HAP and users are modeled as fading channels with different spatial correlations. We assume that only statistical channel state information is available at the transmitter. First, we obtain the optimal time slot allocation strategy to maximize the ergodic sum-rate for the no-correlation scenario. Then, for the general correlation scenario, we provide highly effective solutions by determining the appropriate time slot allocation, covariance matrix of the transmitted energy signal at the HAP, and covariance matrix of the transmitted information signal at each user. Finally, simulations are performed to verify the accuracy and effectiveness of our designs.