Open AccessJoint Channel Estimation and Power Allocation for the CRS‐NOMA
Author(s) -
TAN Yizhi,
CHEN Baoren
Publication year - 2020
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2019.12.003
Subject(s) - noma , computer science , mathematical optimization , interference (communication) , channel (broadcasting) , convex optimization , joint (building) , power (physics) , optimization problem , parametric statistics , regular polygon , algorithm , mathematics , telecommunications , statistics , engineering , architectural engineering , telecommunications link , physics , geometry , quantum mechanics
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 NCNOMA system.