Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139384
Title: Variable-rate coding with constant BER for NOMA via multilevel IRA coding
Authors: Chi, Yuhao
Liu, Lei
Guo, Jie
Song, Guanghui
Yuen, Chau
Guan, Yong Liang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Chi, Y., Liu, L., Guo, J., Song, G., Yuen, C., & Guan, Y. L. (2019). Variable-rate coding with constant BER for NOMA via multilevel IRA coding. IEEE Transactions on Vehicular Technology, 68(5), 5149-5153. doi:10.1109/TVT.2019.2904625
Journal: IEEE Transactions on Vehicular Technology
Abstract: In this correspondence paper, a variable-rate coding scheme is proposed for an uplink NOMA system. Specifically, each user employs a multilevel irregular repeat-accumulate (IRA) coding scheme, which consists of multiple common component IRA encoders. The variable-rate coding scheme is realized by flexibly adjusting the number of component IRA encoders allocated to each user. We design this common component IRA encoder based on extrinsic information transfer analysis to achieve an overall good multi-user decoding performance. The advantages of our proposed scheme are as follows: first, simple implementation of rate variation, second, flexible design of multilevel IRA coding, i.e., the well-designed component IRA encoders does not need to be re-designed when any user changes its rate, third, fair decoding convergence of each user, and finally, capacity-approaching performance.
URI: https://hdl.handle.net/10356/139384
ISSN: 0018-9545
DOI: 10.1109/TVT.2019.2904625
Schools: School of Electrical and Electronic Engineering 
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TVT.2019.2904625.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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