Joint Time Allocation and User Scheduling in a Full-Duplex Aided Multi-user DEIN

In order to address the energy shortage in communication networks, radio frequency (RF) signals are exploited for transferring energy to miniature devices, which yields wireless powered communication networks (WPCNs). A full-duplex aided hybrid-base-station (H-BS) is deployed in a WPCN for simultaneously transferring energy in the downlink and receiving data in the uplink, which may significantly increase the usage efficiency of the precious radio spectrum. User equipments (UEs) may deplete all the energy received from the H-BS for powering their own uplink transmissions. Therefore, in this full-duplex WPCN, a joint time allocation and UE scheduling algorithm is proposed for the sake of maximising the sum-uplink-throughput of multiple UEs by further considering UEs’ actual data uploading requirements. The numerical results demonstrate that the suboptimal solution is capable of achieving almost the same performance with its optimal counterpart, while our scheme outperforms other existing peers in terms of the sum-uplink-throughput.

[1]  Shaoqian Li,et al.  SINR or SLNR: In Successive User Scheduling in MU-MIMO Broadcast Channel with Finite Rate Feedback , 2010, 2010 International Conference on Communications and Mobile Computing.

[2]  Harold W. Kuhn,et al.  Statement for Naval Research Logistics , 2005 .

[3]  Hyungsik Ju,et al.  Throughput Maximization in Wireless Powered Communication Networks , 2013, IEEE Trans. Wirel. Commun..

[4]  Hyungsik Ju,et al.  Improving efficiency of resource usage in two-hop full duplex relay systems based on resource sharing and interference cancellation , 2009, IEEE Transactions on Wireless Communications.

[5]  Fan Wu,et al.  Data and Energy Integrated Communication Networks for Wireless Big Data , 2016, IEEE Access.

[6]  Matti Latva-aho,et al.  Precoding for Full Duplex Multiuser MIMO Systems: Spectral and Energy Efficiency Maximization , 2013, IEEE Transactions on Signal Processing.

[7]  Zhu Han,et al.  Resource Allocation in Wireless Powered Relay Networks: A Bargaining Game Approach , 2016, IEEE Transactions on Vehicular Technology.

[8]  Zhu Han,et al.  Resource allocation in wireless powered relay networks through a nash bargaining game , 2016, 2016 IEEE International Conference on Communications (ICC).

[9]  Yueping Wu,et al.  Delay-Aware BS Discontinuous Transmission Control and User Scheduling for Energy Harvesting Downlink Coordinated MIMO Systems , 2012, IEEE Transactions on Signal Processing.

[10]  F. Richard Yu,et al.  Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells , 2012, IEEE Transactions on Wireless Communications.

[11]  Sumei Sun,et al.  Full-Duplex Wireless-Powered Communication Network With Energy Causality , 2014, IEEE Transactions on Wireless Communications.

[12]  H. Kuhn The Hungarian method for the assignment problem , 1955 .

[13]  Robert Schober,et al.  Relay Selection for Simultaneous Information Transmission and Wireless Energy Transfer: A Tradeoff Perspective , 2013, IEEE Journal on Selected Areas in Communications.

[14]  Hyungsik Ju,et al.  Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network , 2014, IEEE Transactions on Communications.