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- W4283518829 abstract "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." @default.
- W4283518829 created "2022-06-27" @default.
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- W4283518829 date "2022-06-17" @default.
- W4283518829 modified "2023-10-14" @default.
- W4283518829 title "One-bit quantization is good for programmable coding metasurfaces" @default.
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- W4283518829 doi "https://doi.org/10.1007/s11432-022-3471-9" @default.
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