AI 中文总结
该研究针对6G功率域NOMA的虚假CSI攻击构建分类法，分析其系统级影响，指出需将其视为控制输入完整性问题而非仅信道估计问题。
AI 中文摘要
功率域非正交多址接入（NOMA）仍是超5G及6G网络中用于提升频谱效率、支撑密集连接的广泛研究技术。然而，其主要运行机制依赖信道状态信息（CSI）的完整性：当基站使用的CSI被蓄意篡改（而非仅含噪声）时，功率分配、用户排序、配对、聚类及波束成形均会被扭曲。本文将虚假CSI作为功率域NOMA的攻击面展开研究，采用包含两个核心轴的简洁分类法组织威胁空间：一是幅度轴，区分低报与高报；二是排序效应轴，区分保序攻击、边界攻击与逆序攻击。随后，本文展示协同虚假CSI行为、组变更攻击、方向伪造、导频欺骗、训练阶段注入及RIS诱导信道操纵如何扩展该基础分类法。最后，本文将各攻击族映射至其对功率分配、SIC可靠性、调度器行为、公平性、吞吐量及保密性的系统级影响。核心结论是，虚假CSI不仅应被视为信道估计问题，还应被视为6G NOMA的控制输入完整性问题。
英文摘要
Power-domain non-orthogonal multiple access (NOMA) remains a widely studied technique for improving spectral efficiency and supporting dense connectivity in beyond-5G and 6G networks. Its main operating mechanisms, however, depend on the integrity of channel-state information (CSI). Power allocation, user ordering, pairing, clustering, and beamforming can all be distorted when the CSI consumed by the base station is deliberately biased rather than merely noisy. This article examines false CSI as an attack surface in power-domain NOMA. We organize the threat space using a compact taxonomy with two primary axes: magnitude, which distinguishes underreporting from overreporting, and ordering effect, which distinguishes order-preserving, boundary, and order-reversing attacks. We then show how coordinated false- CSI behavior, group-changing attacks, direction forgery, pilot spoofing, training-phase injection, and RIS-induced channel manipulation extend this basic taxonomy. Finally, we map each attack family to system-level impacts on power allocation, SIC reliability, scheduler behavior, fairness, throughput, and secrecy. The central message is that false CSI should be treated not only as a channel-estimation problem, but also as a control-input integrity problem for 6G NOMA.
