Joint Channel Estimation and Power Allocation for the CRS-NOMA

TAN Yizhi; CHEN Baoren

doi:10.1049/cje.2019.12.003

Volume 29 Issue 1

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Article Navigation > Chinese Journal of Electronics > 2020 > 29(1): 177-182

TAN Yizhi and CHEN Baoren, “Joint Channel Estimation and Power Allocation for the CRS-NOMA,” Chinese Journal of Electronics, vol. 29, no. 1, pp. 177-182, 2020, doi: 10.1049/cje.2019.12.003

Citation:

TAN Yizhi and CHEN Baoren, “Joint Channel Estimation and Power Allocation for the CRS-NOMA,” Chinese Journal of Electronics, vol. 29, no. 1, pp. 177-182, 2020, doi: 10.1049/cje.2019.12.003

TAN Yizhi and CHEN Baoren, “Joint Channel Estimation and Power Allocation for the CRS-NOMA,” Chinese Journal of Electronics, vol. 29, no. 1, pp. 177-182, 2020, doi: 10.1049/cje.2019.12.003

Citation:

TAN Yizhi and CHEN Baoren, “Joint Channel Estimation and Power Allocation for the CRS-NOMA,” Chinese Journal of Electronics, vol. 29, no. 1, pp. 177-182, 2020, doi: 10.1049/cje.2019.12.003

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Joint Channel Estimation and Power Allocation for the CRS-NOMA

doi: 10.1049/cje.2019.12.003

TAN Yizhi¹,
CHEN Baoren²

1.
School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China;
2.
Power Dispatching Control Center, China Southern Power Grid, Guangzhou 510623, China

Funds: This work is supported by the Natural Science Foundation of Guangdong Province (No.2018A030310593) and the Science and Technology Plan Project of Guangzhou City (No.201904010371).

Received Date: 2019-06-11
Rev Recd Date: 2019-09-29
Publish Date: 2020-01-10

Abstract

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-tointerference-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 NCNOMA system.
- Channel estimation,
- Power allocation,
- Cooperative relaying system (CRS),
- Non-orthogonal multiple access (NOMA)

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References(18)

References

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