We study the channel estimation and power allocation method for the Cooperative relaying system using Non-orthogonal multiple access (CRS-NOMA). Our object is maximizing the Average effective signal-to-interference-and-noise ratio (AESINR) of the weak user while guaranteeing bounded AESINR for the strong user. We transform the nonconvex optimization problem into a Difference of convex (DC) programming and propose a Sequential parametric convex approximation (SPCA) based iterative algorithm to obtain a local optimum. For comparison, we consider a similar optimization problem for a Non-cooperative NOMA (NC-NOMA) system. Simulation results show that the AESINR performance of the CRS-NOMA outperforms signicantly that of the NC-NOMA system.
CITATION STYLE
Tan, Y., & Chen, B. (2020). Joint channel estimation and power allocation for the CRS-NOMA. Chinese Journal of Electronics, 29(1), 177–182. https://doi.org/10.1049/cje.2019.12.003
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