Nested Grassmannian Codebooks for Quantizing MIMO Precoders on the Flag Manifold

被引:0
作者
Kolla, Naresh [1 ]
Mehta, Parth [1 ]
Appaiah, Kumar [1 ]
Pal, Debasattam [1 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Mumbai 400076, India
关键词
Manifolds; Vectors; Quantization (signal); Measurement; Redundancy; Transmitters; Benchmark testing; Null space; Matrix decomposition; Complexity theory; MIMO; wireless Communication; channel estimation; channel state information; null space; precoding; LIMITED FEEDBACK; QUANTIZATION;
D O I
10.1109/LCOMM.2025.3557002
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In MIMO systems, the channel can be decomposed using Singular Value Decomposition (SVD). The resulting unitary matrices, used as precoders, are fed back to the transmitter to enhance rates. Their non-uniqueness enables efficient quantization on Flag manifolds. While previous studies have investigated manifold-based precoder feedback approaches, an incremental subspace-based quantization approach remains unexplored. We propose a nested Grassmannian quantizer for Flag elements, which incrementally builds codebook dimensions. Simulations show the proposed method effectively captures Flag elements and outperforms existing approaches, with significant gains.
引用
收藏
页码:1215 / 1219
页数:5
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