| D2D通信中一种基于非数据辅助误差适量幅度的同信道干扰控制方法及其性能分析 |
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| 引用本文： | 曾孝平,李诗琪,杨凡,简鑫,吴继森.D2D通信中一种基于非数据辅助误差适量幅度的同信道干扰控制方法及其性能分析[J].电子与信息学报,2021,43(9):2663-2671. |
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| 作者姓名： | 曾孝平 李诗琪 杨凡 简鑫 吴继森 |
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| 作者单位： | 1.重庆大学通信工程学院 重庆 4000442.重庆理工大学电气与电子工程学院 重庆 4000543.重庆通用航空集团有限公司 重庆 401135 |
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| 基金项目： | 国家自然科学基金(61501065, 61571069, 61601067, 61701054)；重庆市基础科学与前沿技术研究专项一般基金资助项目(cstc2016jcyjA0021)；中央高校基本科研业务费(106112016CDJXY160001)；重庆市重大主题专项(cstc2019jscx-zdztzxX0045, cstc2019jscx-zdztzxX0029, cstc2019jscx-zdztzxX0051) |
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| 摘 要： |
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| 关 键 词： | 同信道干扰 D2D通信 非数据辅助 误差矢量幅度 |
| 收稿时间： | 2020-06-11 |
NDA-EVM Based Co-channel Interference Control Method and Performance Analysis in D2D Communication |
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| Xiaoping ZENG,Shiqi LI,Fan YANG,Xin JIAN,Jisen WU.NDA-EVM Based Co-channel Interference Control Method and Performance Analysis in D2D Communication[J].Journal of Electronics & Information Technology,2021,43(9):2663-2671. |
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| Authors: | Xiaoping ZENG Shiqi LI Fan YANG Xin JIAN Jisen WU |
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| Affiliation: | 1.College of Communication Engineering, Chongqing University, Chongqing 400044, China2.School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China3.Chongqing General Aviation Co., Ltd (CQGA), Chongqing 401135, China |
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| Abstract: | In view of the widely exist co-channel interference in D2D communication system, a novel method to quantify the co-channel interference based on NonDate Aided Error Vector Magnitude (NDA-EVM) is proposed. NDA-EVM is considered as a new metric to evaluate the change of the channels. The NDA-EVM of M-QAM modulated signal is analytically derived. Moreover, the model of NDA-EVM under co-channel interference is established. Specifically, the upper bound of NDA-EVM is calculated when co-channel interferences exist, so co-channel interferences can be quantified. Theoretical analysis and simulation experiments indicate that, when compared with traditional NDA-EVM algorithm, the proposed upper bound of NDA-EVM reduces the time complexity of algorithm from O(M2) to O(M), the effectiveness of channel estimation is improved. Besides, the derived upper bound closely matches with the theoretical value, especially at low SNR, the RMSE is as low as 0.2615. |
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