Greedy-Based Quantized Phase Control for IRS-STLC Systems 


Vol. 47,  No. 1, pp. 188-197, Jan.  2022
10.7840/kics.2022.47.1.188


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  Abstract

A new paradigm called intelligent reflecting surface(IRS), which can control the phase of propagated signals, is attracting attention to enhance the performance in wireless communication systems. In this study, the IRS is applied to a (full-spatial-diversity-achieving) space-time line code(STLC) system, and two IRS phase control methods are designed to maximize the signal-to-noise ratio. First, a semidefinite relaxation(SDR)-based analog phase control method is devised. The SDR-based analog phase control method can achieve optimal bit-error-rate performance while causing significant growth in signal overhead as the number of IRS elements increases. Next, to reduce the network overhead, a greedy-based phase control method is devised, and its achievable rate defined considering the network overhead is evaluated. From simulation results, it was observed that the greedy-based phase control outperforms the SDR-base phase control for the achievable rate performance. Moreover, it was verified that there is a trade-off between the number of IRS elements and the minimum number of quantization bits to achieve the SDR performance.

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  Cite this article

[IEEE Style]

J. Kim and J. Joung, "Greedy-Based Quantized Phase Control for IRS-STLC Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 1, pp. 188-197, 2022. DOI: 10.7840/kics.2022.47.1.188.

[ACM Style]

Jaehong Kim and Jingon Joung. 2022. Greedy-Based Quantized Phase Control for IRS-STLC Systems. The Journal of Korean Institute of Communications and Information Sciences, 47, 1, (2022), 188-197. DOI: 10.7840/kics.2022.47.1.188.

[KICS Style]

Jaehong Kim and Jingon Joung, "Greedy-Based Quantized Phase Control for IRS-STLC Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 1, pp. 188-197, 1. 2022. (https://doi.org/10.7840/kics.2022.47.1.188)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880