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arXiv · 2609.24121

Joint Channel Estimation, Detection, and Resource Allocation for OTFS-RSMA

Chaedam Son·Si-Hyeon Lee
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Abstract

Orthogonal time frequency space (OTFS) modulation is well suited for high-mobility communications, but channel estimation and efficient multi-user transmission remain challenging. In this paper, we develop an OTFS-rate splitting multiple access (RSMA) framework that jointly considers pilot transmission, channel estimation, message detection, and resource allocation under imperfect channel state information (CSI). We consider guard-based and superimposed transmission for the common and private messages to account for the tradeoff between channel-estimation reliability and spectral efficiency (SE). We derive a linear minimum mean square error (LMMSE) channel estimator, error-aware message-passing detectors, and tractable surrogate rate expressions that account for channel-estimation errors. Based on these expressions, we formulate a joint resource-allocation problem and develop an SCA-based two-dimensional search algorithm together with a low-complexity alternative that exploits the analytical structure of the resource allocation. Numerical results demonstrate reliable channel-estimation and BER performance and show that configurations with guard-based common-message transmission achieve favorable sum-SE performance, while the preferred private-message structure depends on the operating regime. The low-complexity algorithm achieves near-SCA performance with substantially reduced computation time, and OTFS-RSMA remains competitive with OTFS-NOMA while requiring only a single SIC stage.

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Chaedam Son, Si-Hyeon Lee. 2026-09-21. Joint Channel Estimation, Detection, and Resource Allocation for OTFS-RSMA. https://arxiv.org/abs/2609.24121

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