Subpacketization remains a major obstacle to the practical deployment of coded caching (CC) in multi-antenna wireless networks. In this paper, we propose a low-complexity multiple-input multiple-output (MIMO) CC scheme that enables flexible delivery rate adaptation while substantially reducing subpacketization requirements. The proposed design builds on a virtual decomposition of the broadcast channel and extends the shared-cache model to multi-antenna receivers, enabling adaptive selection of feasible user and stream configurations and thereby providing explicit control over the spatial multiplexing gain under linear decodability constraints. Analytical results show that the proposed framework can asymptotically approach the best-known achievable degrees of freedom (DoF) under linear decodability constraints while requiring orders-of-magnitude lower subpacketization than existing schemes. Numerical evaluations further demonstrate that this flexibility yields notable throughput improvements at practical signal-to-noise ratios.

翻译：子包化仍然是多天线无线网络中编码缓存实际部署的主要障碍。本文提出一种低复杂度的多输入多输出（MIMO）编码缓存方案，该方案在显著降低子包化需求的同时支持灵活的传输速率适配。所提设计基于广播信道的虚拟分解，并将共享缓存模型扩展至多天线接收机，从而能够自适应选择可行的用户与流配置，进而在线性可解码约束下实现对空间复用增益的显式控制。理论分析表明，所提框架在线性可解码约束下可渐近逼近已知最优的自由度（DoF），同时所需的子包化程度较现有方案降低数个数量级。数值评估进一步表明，这种灵活性在实际信噪比条件下能够带来显著的吞吐量提升。