[1] Wang Xiaojun, , Ma Xiaojing, et al. A third-party efficient PDCCH blind detection methodbased on the selection of polar decoding metrics [J]. Journal of Southeast University (English Edition), 2024, 40 (1): 97-104. [doi:10.3969/j.issn.1003-7985.2024.01.011]

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A third-party efficient PDCCH blind detection methodbased on the selection of polar decoding metrics()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

40

Issue:

2024 1

Page:

97-104

Research Field:

Information and Communication Engineering

Publishing date:

2024-03-20

Info

Title:

A third-party efficient PDCCH blind detection methodbased on the selection of polar decoding metrics

Author(s):

Wang Xiaojun¹;  2;  3;  Ma Xiaojing¹;  2;  Huang Yuhua¹;  2

¹National Mobile Communications Research Laboratory, Southeast University, Nanjing 211189, China
²Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing 211189, China
³Purple Mountain Laboratories, Nanjing 211111, China

Keywords:

polar decoding;  physical downlink control channel(PDCCH);  blind detection;  downlink control information(DCI)

PACS:

TN929.6

DOI:

10.3969/j.issn.1003-7985.2024.01.011

Abstract:

To investigate and design an efficient blind detection method for third-party scenarios, a third-party efficient physical downlink control channel(PDCCH)blind detection method was proposed based on polar decoding metric selection. This method comprised two main components: the study of the polar decoding algorithm, which introduced a polar decoding metric based on downlink control information(DCI)length and proposed an improved third-party blind detection method based on polar decoding metric selection; and the investigation of the PDCCH blind detection algorithm, which introduced a reordering blind detection algorithm. The enhanced polar decoding algorithm and reordering blind detection algorithm were organically combined to present an efficient PDCCH blind detection method for third-party scenarios. The proposed method was validated and analyzed using a 5G PDCCH blind detection simulation link on the MATLAB platform. The results show that the proposed method effectively reduces the number of PDCCH blind detections and the count of DCI candidates while enhancing blind detection efficiency and ensuring target capture accuracy.

References:

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Memo

Memo:

Biography: Wang Xiaojun(1975—), male, doctor, professor, wxj@seu.edu.cn.
Foundation items: The National Key R& D Program of China(No.2022YFC38010000), the Key Research & Development Plan of Jiangsu Province(No. BE2020084-2), the Fundamental Research Funds for the Central Universities(No. 2242022k60001).
Citation: Wang Xiaojun, Ma Xiaojing, Huang Yuhua.A third-party efficient PDCCH blind detection method based on the selection of polar decoding metrics[J].Journal of Southeast University(English Edition), 2024, 40(1):97-104.DOI:10.3969/j.issn.1003-7985.2024.01.011.

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