Adaptive RSMA-OMA for Resilient MIMO Networks Under Imperfect CSI and SIC
Sayanti Ghosh, Indrakshi Dey, and Nicola Marchetti

TL;DR
This paper proposes an adaptive power control framework for RSMA in MIMO networks that improves resilience and efficiency under practical impairments like imperfect CSI and SIC errors.
Contribution
It introduces a degeneracy-aware, adaptive power allocation method with dynamic switching between RSMA and OMA to enhance robustness under realistic conditions.
Findings
Significant improvement in power efficiency and outage probability.
Enhanced system robustness against CSI uncertainty and SIC errors.
Effective dynamic switching mechanism between RSMA and OMA.
Abstract
This paper addresses the challenge of power control in Rate-Splitting Multiple Access (RSMA) systems for downlink Multi-Input Multi-Output (MIMO) networks under practical impairments such as spatial correlation, imperfect Channel State Information (CSI), and residual Successive Interference Cancellation (SIC) errors. We propose a novel degeneracyaware framework that adaptively adjusts the power allocation between the common and private streams, ensuring optimal performance despite CSI uncertainty and imperfect SIC. Our approach incorporates a dynamic switching mechanism between RSMA and Orthogonal Multiple Access (OMA) to maintain system feasibility and resilience in the face of these impairments. Extensive analytical and simulation results demonstrate that the proposed framework significantly enhances power efficiency, mitigates outage probability, and improves overall system…
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