Joint Robust Beamforming and Power-Splitting Ratio Design in SWIPT-Based Cooperative NOMA Systems With CSI Uncertainty

Yi Yuan, Peng Xu, Zheng Yang, Zhiguo Ding, Qianbin Chen

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

This paper investigates the effect of imperfect channel state information on the performance of the cooperative non-orthogonal multiple access (NOMA) transmission scheme, in which the cell-center user acts as a decode-and-forward relay to assist the information transmission. The cell-center user adopts a simultaneous wireless information and power transfer (SWIPT) technique to harvest energy for information forwarding. Based on two channel error models, a maximization problem is formulated to jointly design the robust beamforming and the power splitting ratio while satisfying the minimum data rate for the far user and the successfully decoding requirement for the information of the far user at the near user. For the worst case design under the deterministic error model, the successive convex approximation and the semidefinite relaxation technique are utilized to approximate the non-convex problem to an iterative convex problem. For the outage-constrained design under the stochastic error model, Bernstein-type inequality-based and large deviation inequality-based approaches are used to safely approximate the probabilistic constraints of the inner-level problem to the deterministic constraints, and a golden section search algorithm is employed to find out the optimal single variable of the outer-level problem. Furthermore, the rank proof is provided to prove that the relaxation is tight.

Original languageBritish English
Article number8607125
Pages (from-to)2386-2400
Number of pages15
JournalIEEE Transactions on Vehicular Technology
Volume68
Issue number3
DOIs
StatePublished - Mar 2019

Keywords

  • Non-orthogonal multiple access (NOMA)
  • robust beamforming
  • simultaneous wireless information and power transfer (SWIPT)
  • successive convex approximation (SCA)

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