联合信道估计、检测与资源分配的OTFS-RSMA
Joint Channel Estimation, Detection, and Resource Allocation for OTFS-RSMA
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中文总结 AI 辅助
本文提出OTFS-RSMA框架，联合设计导频、信道估计、检测与资源分配，在不完美CSI下权衡可靠性与频谱效率，并通过低复杂度算法实现接近SCA的性能。
中文摘要 AI 辅助
正交时频空间（OTFS）调制非常适合高移动性通信，但信道估计和高效的多用户传输仍然具有挑战性。在本文中，我们开发了一个OTFS速率分割多址（RSMA）框架，该框架在不完美信道状态信息（CSI）下联合考虑导频传输、信道估计、消息检测和资源分配。我们考虑了公共和私有消息的基于保护间隔和叠加传输，以权衡信道估计可靠性和频谱效率（SE）。我们推导了线性最小均方误差（LMMSE）信道估计器、错误感知的消息传递检测器以及考虑信道估计误差的易处理的替代速率表达式。基于这些表达式，我们制定了一个联合资源分配问题，并开发了一种基于SCA的二维搜索算法以及一种利用资源分配解析结构的低复杂度替代算法。数值结果证明了可靠的信道估计和误码率性能，并表明基于保护间隔的公共消息传输配置可获得良好的总SE性能，而优选的私有消息结构取决于工作区域。低复杂度算法以显著减少的计算时间实现了接近SCA的性能，且OTFS-RSMA在与OTFS-NOMA竞争时仅需单个SIC阶段。
英文摘要
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.
发表机构
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)（韩国科学技术院电气工程学院）
机构由 AI 辅助整理，请以论文原文为准。
