Joint channel estimation and power allocation for the CRS-NOMA

4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free