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Volume 43 Issue 9
Sep.  2021
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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. doi: 10.11999/JEIT200473
Citation: 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. doi: 10.11999/JEIT200473

NDA-EVM Based Co-channel Interference Control Method and Performance Analysis in D2D Communication

doi: 10.11999/JEIT200473
Funds:  The National Natural Science Foundation of China (61501065, 61571069, 61601067, 61701054), The Chongqing Research Program of Basic Research and Frontier Technology (cstc2016jcyjA0021), The Fundamental Research Funds for the Central Universities (106112016CDJXY160001), The Chongqing Technology Innovation and Application Development Key Project (cstc2019jscx-zdztzxX0045, cstc2019jscx-zdztzxX0029, cstc2019jscx-zdztzxX0051)
  • Received Date: 2020-06-11
  • Rev Recd Date: 2020-12-31
  • Available Online: 2021-02-26
  • Publish Date: 2021-09-16
  • 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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