Sum Spectral Efficiency Maximization for Uplink Multi-Layer RSMA With Finite SIC

In this letter, we investigate the sum spectral efficiency (SE) maximization for multi-layer rate-splitting multiple access (ML-RSMA) systems. In ML-RSMA, the data stream of each user is split into sub-streams, which are individually encoded into sub-signals and transmitted with different power leve...

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Bibliographic Details
Published in:IEEE wireless communications letters 2024-12, Vol.13 (12), p.3409-3413
Main Authors: Ou, Xiaoyu, Dang, Shuping, Doufexi, Angela
Format: Article
Language:English
Subjects:
Complexity
Complexity theory
Data transmission
Decoding
finite successive interference cancellation
Interference cancellation
Iterative decoding
iterative quadratic transform
Maximization
Multi-layer rate-splitting multiple access
Multilayers
NOMA
Optimization
Power control
Rayleigh channels
Receivers
sum spectral efficiency maximization
Transforms
Uplink
uplink power control
Vectors
Citations: Items that this one cites
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Summary:In this letter, we investigate the sum spectral efficiency (SE) maximization for multi-layer rate-splitting multiple access (ML-RSMA) systems. In ML-RSMA, the data stream of each user is split into sub-streams, which are individually encoded into sub-signals and transmitted with different power levels. In the decoding stage, to reduce the SIC complexity, we propose a finite successive interference cancellation (SIC) scheme, viz., only performs SIC at the receiver after successfully decoding all sub-signals pertaining to a particular layer. Based on the finite-SIC scheme, we formulate a sum SE maximization problem with the power control coefficients of all sub-signals being the variables and propose to use an iterative quadratic transform method to tackle it with low complexity. The simulation results verify the performance of the proposed ML-RSMA with finite-SIC architecture compared to traditional ML-RSMA.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2024.3468906