Resource Allocation for Wireless Power Transmission Enabled Full-Duplex OFDMA Mobile Wireless Networks Conference Paper uri icon

abstract

  • 2018 IEEE. We investigate the resource allocation to enable wireless power transmission over the full-duplex (FD) wireless networks, where an access point (AP) conducts downlink wireless information and power transfer (WIPT) to multiple mobile users, and concurrently receives uplink information from the mobile users. To enable downlink WIPT, we assume that mobile users adopt the power splitting technique to concurrently harvest energy and receive information from the received radio frequency (RF) signals. We maximize the minimum (max- min) rate among all mobile users to optimize their rates and guarantee their rate fairness, where the subcarrier allocation, power allocation, and power splitting ratio selection are jointly optimized. To resolve the formulated non-convex max-min optimization problem, we first convert the objective function which is a D.C. function (namely, difference of two concave functions) into a concave function, and prove that all mobile users need to attain the same optimal rates. Then, we propose an asymptotically optimal algorithm (AORA) and a suboptimal algorithm (SORA) using the convex programming and linear-programming. Finally, we evaluate our AORA and SORA based schemes through numerical analyses.

name of conference

  • 2018 IEEE Global Communications Conference (GLOBECOM)

published proceedings

  • 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

author list (cited authors)

  • Wang, F., & Zhang, X. i.

citation count

  • 0

complete list of authors

  • Wang, Fei||Zhang, Xi

publication date

  • December 2018