2026-10-14T13:04:34Z https://www.scidb.cn/oai

10.57760/sciencedb.j00173.0002w 2026-09-01T10:51:39Z

2026-09-01 260823EP丨Simulation Reproduction for Secrecy Performance of Multi-Tag Bistatic Backscatter Systems with Outdated CSI and Link Correlation doi:10.57760/sciencedb.j00173.0002w en Solemn statement: If this open source content is used in papers, books, academic reports, and other works, please cite the following references (the latest citation format is available in the original link): LIU Yingting, TANG Yong, LI Xingwang. Secrecy Performance Analysis of Multi-tag Bistatic Backscatter Communication Systems With Outdated CSI and Link Correlation[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260823Affiliations:School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaThis code supports the reproducibility study of multi-tag bistatic backscatter communication systems with outdated channel state information (CSI) and link correlation. It provides the parameter settings, analytical results, and Monte Carlo simulation data required to reproduce the results reported in the paper. It covers secrecy outage probability results under different numbers of candidate tags, tag-ranking orders, CSI correlation coefficients, legitimate-to-eavesdropping link correlation coefficients, transmit powers, and link-gain ratios. The code also includes closed-form expressions, high-transmit-power asymptotic expressions, and simulation results. It can be used to validate the proposed tag selection scheme based on backscatter-link channel-gain ranking, investigate the effects of CSI aging, link correlation, and link-gain ratio on system secrecy performance, and reproduce the main figures and conclusions of the paper. Correlated Fading; Outdated Channel State Information; Backscatter Communication(BackCom); Secrecy Outage Probability(SOP) Liu Yingting tang yong Li Xingwang PUBLIC https://api.github.com/licenses/apache-2.0 dataset http://www.doi.org/10.11999/JEIT260823 Science Data Bank