检索结果-内蒙古大学图书馆

SSRN 2023年

作者： Li, Chunfang Pei, Yuchen Shen, Yushi Lu, Junli Fan, Yalv Linghu, Xiaoyu Tian, Yuanzhi Wang, Kun School of Computer and Cyber Sciences Communication University of China Chaoyang District Beijing100024 China The NovNet Computing System Tech Company Beijing100081 China

Visualization provides an important means for understanding software. Many studies focus on software call graphs or software visualization, but there is insufficient attention given to studying them as a whole. This paper presents the extracted call graphs between software packages in Python and within individual packages(modules, file directory, and classes). To avoid potential errors that may arise from directly scanning the source code, we extracts the structure data based on pip and inspect. To facilitate interactive exploration of the data extracted, we provide eight visual layouts based on *** and ***. Additionally, the tool allows for querying module(.py) and class source code and docs. PyVisVue3D3 essentially provides a visual PyDocs that integrates multi-granularity call graphs, aiding developers in quickly extracting knowledge from codebase and improving software comprehension efficiency(https://***). © 2023, The Authors. All rights reserved.

关键词： Python

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Uplink Performance of Cell-Free Symbiotic Radio With Hardware Impairments for IoT

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IEEE Internet of Things Journal 2025年

作者： Sun, Qiang Zhou, Yu Shen, Yushi Li, Feiyang Chen, Xiaomin Li, Dong Zhang, Jiayi Nantong University School of Information Science and Technology Nantong226019 China NovNet Computing System Tech Company Beijing100081 China Macau University of Science and Technology School of Computer Science and Engineering Taipa999078 China Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China

Cell-free massive multiple-input multiple-output symbiotic radio (CF-SR) has recently been introduced as a promising solution for the Internet of Things (IoT), offering cost advantages and more uniform coverage performance for user devices. However, most previous studies assume perfect hardware, which is impractical in IoT systems. In this paper, we investigate the uplink performance of CF-SR systems in the presence of hardware impairments (HWIs). We adopt two novel schemes for hybrid combining, namely hybrid maximum ratio (HMR) and hybrid local minimum mean square error (HL-MMSE), both of which effectively enhance the spectral efficiency (SE) of the backscattering link. We derive closed-form expressions for the achievable SE of both conventional MR and HMR combining schemes, taking into account the imperfect channel state information (CSI) and HWIs. The simulation results that both the direct and backscattering links are primarily limited by HWIs including multiplicative and additive distortions from the device side. We apply the differential evolution (DE) algorithm for power control to maximize the minimum SE, and the results show that the DE algorithm improves the minimum SE by approximately 52%, avoiding further degradation of the SE of the weakest device due to the impact of HWIs. © 2014 IEEE.

关键词： Mean square error

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