Reduced Complexity Rate-Splitting Multiple Access Beamforming for Generalized Objectives

Rate splitting multiple access (RSMA) enables interference management trade-offs between space-division multiple access (SDMA) and non-orthogonal multiple access (NOMA) to serve multiple users in the multiple-input multiple-output (MIMO) broadcast channel. The design of RSMA beamforming, or precodin...

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Bibliographic Details
Published inIEEE access Vol. 12; pp. 155958 - 155975
Main Authors Sadeghabadi, Elaheh, Blostein, Steven D.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Array signal processing
Beamforming
broadcast channel
Broadcasting
Complexity
Complexity theory
Convexity
Decoding
Design optimization
Linear programming
Maximization
Multiaccess communication
multiple-input multiple-output communications
NOMA
non-orthogonal multiple access
Nonorthogonal multiple access
Parameterization
Performance evaluation
Precoding
Rate-splitting multiple access
Resource management
Signal to noise ratio
Space division multiplexing
space-division multiple access
Splitting
Tradeoffs
Vectors
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ISSN2169-3536
2169-3536
DOI10.1109/ACCESS.2024.3483688

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Summary:Rate splitting multiple access (RSMA) enables interference management trade-offs between space-division multiple access (SDMA) and non-orthogonal multiple access (NOMA) to serve multiple users in the multiple-input multiple-output (MIMO) broadcast channel. The design of RSMA beamforming, or precoding, to maximize typical rate performance is a non-convex optimization problem. In this paper, a parameterization of optimal beamforming directions for different performance maximization problems subject to a total power constraint is obtained for RSMA for systems with full column rank channel matrices. The performance evaluation function may be an arbitrary increasing function of split user rates. The proposed solution combines maximizing each stream's signal-to-noise-ratio (SNR) and reducing interference on other streams for different objectives. Using the derived beamforming directions, the design is completed by solving a power allocation problem. Simulation results reveal that the proposed approach is able to provide attractive performance/complexity trade-offs compared to existing schemes.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3483688