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基于改進(jìn)稀疏度自適應(yīng)匹配算法的免授權(quán)非正交多址接入上行傳輸多用戶(hù)檢測(cè)

王茜竹 方冬 吳廣富

王茜竹, 方冬, 吳廣富. 基于改進(jìn)稀疏度自適應(yīng)匹配算法的免授權(quán)非正交多址接入上行傳輸多用戶(hù)檢測(cè)[J]. 電子與信息學(xué)報(bào), 2020, 42(9): 2216-2222. doi: 10.11999/JEIT190505
引用本文: 王茜竹, 方冬, 吳廣富. 基于改進(jìn)稀疏度自適應(yīng)匹配算法的免授權(quán)非正交多址接入上行傳輸多用戶(hù)檢測(cè)[J]. 電子與信息學(xué)報(bào), 2020, 42(9): 2216-2222. doi: 10.11999/JEIT190505
Qianzhu WANG, Dong FANG, Guangfu WU. Multi-User Detection Based on Sparsity Adaptive Matching Pursuit Compressive Sensing for Uplink Grant-free Non-Orthogonal Multiple Access[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2216-2222. doi: 10.11999/JEIT190505
Citation: Qianzhu WANG, Dong FANG, Guangfu WU. Multi-User Detection Based on Sparsity Adaptive Matching Pursuit Compressive Sensing for Uplink Grant-free Non-Orthogonal Multiple Access[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2216-2222. doi: 10.11999/JEIT190505

基于改進(jìn)稀疏度自適應(yīng)匹配算法的免授權(quán)非正交多址接入上行傳輸多用戶(hù)檢測(cè)

doi: 10.11999/JEIT190505
基金項(xiàng)目: 重慶市科技重大主題專(zhuān)項(xiàng)重點(diǎn)示范項(xiàng)目(cstc2018jszx-cyztzxX0035),重慶市教委科學(xué)技術(shù)研究項(xiàng)目(KJQN201800642)
詳細(xì)信息
    作者簡(jiǎn)介:

    王茜竹:女,1975年生,教授級(jí)高級(jí)工程師,研究方向?yàn)長(zhǎng)TE、物聯(lián)網(wǎng)以及車(chē)聯(lián)網(wǎng)等協(xié)議標(biāo)準(zhǔn)等

    方冬:男,1993年生,碩士生,研究方向?yàn)?G無(wú)線(xiàn)通信技術(shù)

    吳廣富:男,1980年生,博士生,高級(jí)工程師,研究方向?yàn)?G物理層關(guān)鍵技術(shù)等

    通訊作者:

    吳廣富 wugf@cqupt.edu.cn

  • 中圖分類(lèi)號(hào): TN929.5

Multi-User Detection Based on Sparsity Adaptive Matching Pursuit Compressive Sensing for Uplink Grant-free Non-Orthogonal Multiple Access

Funds: The Chongqing of Science and Technology Bureau, (cstc2018jszx-cyztzxX0035), The Project of Science and Technology Research Program of Chongqing Education Commission (KJQN201800642)
  • 摘要: 免授權(quán)非正交多址接入技術(shù)(NOMA)結(jié)合多用戶(hù)檢測(cè)技術(shù)(MUD),能夠滿(mǎn)足大規(guī)模機(jī)器通信(mMTC)場(chǎng)景中的大連接量、低信令開(kāi)銷(xiāo)和低時(shí)延傳輸?shù)刃枨?。在基于壓縮感知(CS)的MUD算法中,活躍用戶(hù)數(shù)往往作為已知信息,而實(shí)際通信系統(tǒng)中很難準(zhǔn)確估計(jì)?;诖耍撐奶岢鲆环N改進(jìn)稀疏度自適應(yīng)匹配的多用戶(hù)算法(MSAMP-MUD)。該算法首先利用廣義Dice系數(shù)匹配準(zhǔn)則選擇與殘差最匹配的原子,更新用戶(hù)支撐集;當(dāng)殘差能量接近噪聲能量時(shí),終止迭代,從而獲得最終支持集;否則,采取上述準(zhǔn)則更新用戶(hù)支撐集,提高支撐集中活躍用戶(hù)數(shù)估計(jì)精度。在迭代過(guò)程中,根據(jù)最近兩次殘差能量之比,選取不同的迭代步長(zhǎng),以降低檢測(cè)迭代次數(shù)。仿真結(jié)果表明,所提算法與傳統(tǒng)基于CS的MUD算法相比,誤碼率降低約9%,迭代次數(shù)減少約10%。
  • 圖  1  免授權(quán)NOMA上行傳輸系統(tǒng)圖

    圖  2  MSAMP算法流程圖

    圖  3  不同信噪比下的誤碼率性能曲線(xiàn)圖

    圖  4  不同稀疏度下誤碼率性能曲線(xiàn)圖

    圖  5  不同稀疏度下的算法迭代次數(shù)曲線(xiàn)圖

    表  1  系統(tǒng)仿真主要參數(shù)

    參數(shù)參數(shù)值
    系統(tǒng)用戶(hù)數(shù)$K$200
    子載波數(shù)$N$100
    時(shí)隙數(shù)$J$7
    閾值${\varepsilon _1}$1.2
    調(diào)制方式QPSK
    過(guò)載率$\lambda $200%
    擴(kuò)頻矩陣Toeplitz矩陣
    下載: 導(dǎo)出CSV
  • 楊維, 趙懿偉, 侯健琦. 一種改進(jìn)基于門(mén)限的稀疏碼多址接入低復(fù)雜度多用戶(hù)檢測(cè)算法[J]. 電子與信息學(xué)報(bào), 2018, 40(5): 1044–1049. doi: 10.11999/JEIT170647

    YANG Wei, ZHAO Yiwei, and HOU Jianqi. An improved threshold-based low complexity multiuser detection scheme for sparse code multiple access system[J]. Journal of Electronics &Information Technology, 2018, 40(5): 1044–1049. doi: 10.11999/JEIT170647
    FAN Bin, SU Xin, JIE Zeng, et al. Method of CS-IC detection in the grant-free NOMA system[C]. The 12th International Symposium on Medical Information and Communication Technology (ISMICT), Sydney, Australia, 2018: 1–5. doi: 10.1109/ISMICT.2018.8573723.
    XU Xiao, RAO Xiongbin, and LAU V K N. Active user detection and channel estimation in uplink CRAN systems[C]. 2015 IEEE International Conference on Communications (ICC), London, UK, 2015: 2727–2732. doi: 10.1109/ICC.2015.7248738.
    李燕龍, 陳曉, 詹德滿(mǎn), 等. 非正交多址接入中稀疏多用戶(hù)檢測(cè)方法[J]. 西安電子科技大學(xué)學(xué)報(bào): 自然科學(xué)版, 2017, 44(3): 151–156. doi: 10.3969/j.issn.1001-2400.2017.03.026

    LI Yanlong, CHEN Xiao, ZHAN Deman, et al. Method of sparse multi-user detection in non-orthogonal multiple access[J]. Journal of Xidian University:Natural Science, 2017, 44(3): 151–156. doi: 10.3969/j.issn.1001-2400.2017.03.026
    HAN Zhu, LI Husheng, and YIN Wotao. Compressive Sensing for Wireless Networks[M]. Cambridge: Cambridge University Press, 2013. doi: 10.1017/CBO9781139088497.
    SHIM B and SONG B. Multiuser detection via compressive sensing[J]. IEEE Communications Letters, 2012, 16(7): 972–974. doi: 10.1109/LCOMM.2012.050112.111980
    WANG Bichai, DAI Linglong, MIR T, et al. Joint user activity and data detection based on structured compressive sensing for NOMA[J]. IEEE Communications Letters, 2016, 20(7): 1473–1476. doi: 10.1109/LCOMM.2016.2560180
    WANG Bichai, DAI Linglong, ZHANG Yuan, et al. Dynamic compressive sensing-based multi-user detection for uplink grant-free NOMA[J]. IEEE Communications Letters, 2016, 20(11): 2320–2323. doi: 10.1109/LCOMM.2016.2602264
    OYERINDE O O. Multiuser detector for uplink grant free NOMA systems based on modified subspace pursuit algorithm[C]. The 12th International Conference on Signal Processing and Communication Systems (ICSPCS), Cairns, Australia, 2018: 1–6. doi: 10.1109/ICSPCS.2018.8631787.
    ABEBE A T and KANG C G. Iterative order recursive least square estimation for exploiting frame-wise sparsity in compressive sensing-based MTC[J]. IEEE Communications Letters, 2016, 20(5): 1018–1021. doi: 10.1109/LCOMM.2016.2539255
    HONG J P, CHOI W, and RAO B D. Sparsity controlled random multiple access with compressed sensing[J]. IEEE Transactions on Wireless Communications, 2015, 14(2): 998–1010. doi: 10.1109/TWC.2014.2363165
    WANG Chao, CHEN Yang, WU Yiqun, et al. Performance evaluation of grant-free transmission for Uplink URLLC services[C]. The 85th IEEE Vehicular Technology Conference (VTC Spring), Sydney, Australia, 2017: 1–6. doi: 10.1109/VTCSpring.2017.8108593.
    MASOUDI M, AZARI A, YAVUZ E A, et al. Grant-free radio access IoT networks: Scalability analysis in coexistence scenarios[C]. 2018 IEEE International Conference on Communications (ICC), Kansas City, USA, 2018: 1–7. doi: 10.1109/ICC.2018.8422890.
    趙曉娟, 張愛(ài)華, 楊守義, 等. 基于結(jié)構(gòu)化壓縮感知的NOMA系統(tǒng)多用戶(hù)檢測(cè)[J]. 現(xiàn)代電子技術(shù), 2018, 41(5): 1–4. doi: 10.16652/j.issn.1004-373x.2018.05.001

    ZHAO Xiaojuan, ZHANG Aihua, YANG Shouyi, et al. NOMA system′s multi-user detection based on structurization compressed sensing[J]. Modern Electronics Technique, 2018, 41(5): 1–4. doi: 10.16652/j.issn.1004-373x.2018.05.001
    3GPP. 3GPP TR-36.211 V13.2. 0 3rd Generation partnership project; technical specification group radio access network; Evolved Universal Terrestrial Radio Access (E-UTRA); physical channels and modulation[S]. France: 3GPP, 2016.
    DO T T, GAN L, NGUYEN N, et al. Sparsity adaptive matching pursuit algorithm for practical compressed sensing[C]. The 42nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2008: 581–587. doi: 10.1109/ACSSC.2008.5074472.
    張宇, 劉雨?yáng)|, 計(jì)釗. 向量相似度測(cè)度方法[J]. 聲學(xué)技術(shù), 2009, 28(4): 532–536. doi: 10.3969/j.issn1000-3630.2009.04.021

    ZHANG Yu, LIU Yudong, and JI Zhao. Vector similarity measurement method[J]. Technical Acoustics, 2009, 28(4): 532–536. doi: 10.3969/j.issn1000-3630.2009.04.021
    MALEKI S, CHEPURI S P, and LEUS G. Optimal hard fusion strategies for cognitive radio networks[C]. 2011 IEEE Wireless Communications and Networking Conference, Cancun, Quintana Roo, Mexico, 2011: 1926–1931. doi: 10.1109/WCNC.2011.5779453.
    DU Yang, DONG Binhong, CHEN Zhi, et al. Efficient multi-user detection for uplink grant-free NOMA: Prior-information aided adaptive compressive sensing perspective[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(12): 2812–2828. doi: 10.1109/JSAC.2017.2726279
    ZHAO Xiaojuan, YANG Shouyi, ZHANG Aihua, et al. A compressive sensing based multi-user detection algorithm for SIMa-NOMA systems[C]. The 15th International Symposium on Wireless Communication Systems (ISWCS), Lisbon, Portugal, 2018: 1–5. doi: 10.1109/ISWCS.2018.8491213.
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出版歷程
  • 收稿日期:  2019-07-05
  • 修回日期:  2020-02-20
  • 網(wǎng)絡(luò)出版日期:  2020-07-15
  • 刊出日期:  2020-09-27

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