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One-bit quantization is good for programmable coding metasurfaces
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DOI：10.1007/s11432-022-3471-9.png)
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摘要
En 中文
The information-carrying programmable metasurfaces have found widespread applications in communication, sensing, and other related areas. However, there is a fundamental but unresolved problem, i.e., the rigorous understanding of the quantization of metasurface coding. Here, we theoretically investigate the performance difference between one-bit and continuous information-encoding metasurfaces. To this end, we derive analytical representations of system responses in various cases (single-input single-output, single-input multiple-output, and multiple-input multiple-output). We analyze the impact of one-bit coding (in contrast to continuous coding) in terms of the resulting channel cross-talk and reduction of information capacity in various representative scenarios from wireless communication and holography. Our main finding indicates that the one-bit coding yields a satisfactory performance in most practical scenarios; we also show that in many cases there are smart ways to mildly relax optimization constraints in order to reduce the performance gap between the one-bit and continuous coding. We expect that our results can provide theoretical guidance for a large variety of metasurface-assisted information systems for electromagnetic waves and other wave phenomena.
Keyword:
metasurfaces
metamaterials
information capacity
signal representation
one-bit coding meta-surface
期刊
IF:
7.6
论文数:
4.9K
被引数:
8.9K
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