Abstract
Optimizing the system performance of a wireless powered communication network (WPCN) has been extensively studied recently, by incorporating space, frequency and/or time diversity of the channel, etc. However, the time diversity, inherently imposes the causality constraint on the channel state information (CSI) in the system design. Hence development of effective and efficient online algorithms for optimizing the system performance is essential but challenging. In this paper, a WPCN with two single-antenna access points (APs) and a single-antenna user, wherein the «harvest and then transmit» over multiple time blocks is considered for the resource allocation (time and power in each time block) by maximizing the system throughput rate. To this end, a low-complexity online algorithm is proposed. Some simulation results are provided to support its efficacy.