Track-based Random Access with SNR Scheduling for Fairness Improvement in Wireless Powered Communication Networks

Abstract

This thesis studies the track-based random access with SNR scheduling for fairness improvement a full-duplex wireless powered communication network (FD-WPCN) which consists of one Hybrid-Access point (H-AP) operating in the FD mode through two antennas and multiple single-antenna Wireless Devices (WDs). With the rapid growth of the Internet-of-Thing (IoT), the number of wireless devices (WDs) is increasing. Hence, the random access-based WPCN needs to be investigated. In practice, the WD state and SNR values have great influence on network performance. Firstly, not all of WDs are always active so that we consider the WD state in terms of the active probability. Then, since each WDs have different signal-to-noise ratio (SNR) values in different location, placed them into different tracks based on the descending order from the SNR values. It means that the WDs with high SNR value acquire random access (RA) slots before the WDs with low SNR value, so that the low SNR WDs can harvest more energy in total. According to the comparison results, the proposed track-based random access with SNR scheduling enhance the user fairness effectively to alleviates the doubly near-far problem in WPCN.