In simultaneous wireless information and power transfer (SWIPT) systems, dedicated energy signals only convey wireless energy, but not information. For this reason, the energycarring signals in the SWIPT can be pre-determined in advance and is shared among communication nodes. By exploiting this nature, this paper designs the optimal transmit beamforming vectors for the multiple-input single-output SWIPT interference channel with signal cooperation (IFC-SC), where the energycarrying signal waveforms are known to transmitters and receivers. Specifically, we aim to identify the optimal tradeoff between the information rate and the harvested energy. To this end, an information rate maximization problem is formulated under minimum required harvested energy constraint, which is non-convex in general. To solve the problem, a new parameterization technique is introduced, and we can decouple the original problem into two subproblems, which yields closed-form beamforming solutions by addressing the line search method for the parameter. Simulation results confirms that the proposed optimal IFC-SC beamforming vectors outperform conventional SWIPT IFC systems.
|Title of host publication
|2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Published - 2016 Jul 2
|84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: 2016 Sept 18 → 2016 Sept 21
|IEEE Vehicular Technology Conference
|84th IEEE Vehicular Technology Conference, VTC Fall 2016
|16/9/18 → 16/9/21
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea (NRF) funded by the Korea Government (MSIP) under Grant 2014R1A2A1A10049769. K.-J. Lee's work was partially supported through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2013R1A1A1060503 and NRF-2014K1A3A1A09063284).
© 2016 IEEE.
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics