Journal
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Volume 37, Issue 1, Pages 142-155Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSAC.2018.2872375
Keywords
Robust beamforming; non-orthogonal multiple access; non-linear energy harvesting model; cognitive radio; imperfect channel state information
Funding
- National Science Foundation [EECS-1308006, NeTS-1423348, EARS-1547312]
- Intel Corporation
- Natural Science Foundation of China [61701214]
- Young Natural Science Foundation of Jiangxi Province [20171BAB212002]
- Excellent Youth Foundation of Jiangxi Province [2018ACB21012]
- ERC
- Royal Society
- EPSRC [EP/Noo4558/1, EP/PO34284/1]
- EPSRC [EP/N004558/1, EP/J015520/1, EP/L010550/1, EP/P003990/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/N004558/1] Funding Source: researchfish
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This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realistic non-linear energy harvesting model is applied and a power splitting architecture is adopted at each secondary user (SU). Since it is difficult to obtain perfect channel state information (CSI) in practice, instead either a bounded or Gaussian CSI error model is considered. Our robust beamforming and power splitting ratio are jointly designed for two problems with different objectives, namely, that of minimizing the transmission power of the cognitive base station and that of maximizing the total harvested energy of the SUs, respectively. The optimization problems are challenging to solve, mainly because of the non-linear structure of the energy harvesting and CSI errors models. We converted them into convex forms by using semi-definite relaxation. For the minimum transmission power problem, we obtain the rank-2 solution under the bounded CSI error model, while for the maximum energy harvesting problem, a two-loop procedure using a 1-D search is proposed. Our simulation results show that the proposed scheme significantly outperforms its traditional orthogonal multiple access counterpart. Furthermore, the performance using the Gaussian CSI error model is generally better than that using the bounded CSI error model.
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