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基于遲滯噪聲混沌神經(jīng)網(wǎng)絡(luò)的導(dǎo)頻分配

邵凱 李述棟 王光宇 付天飛

邵凱, 李述棟, 王光宇, 付天飛. 基于遲滯噪聲混沌神經(jīng)網(wǎng)絡(luò)的導(dǎo)頻分配[J]. 電子與信息學(xué)報(bào), 2020, 42(10): 2454-2461. doi: 10.11999/JEIT190748
引用本文: 邵凱, 李述棟, 王光宇, 付天飛. 基于遲滯噪聲混沌神經(jīng)網(wǎng)絡(luò)的導(dǎo)頻分配[J]. 電子與信息學(xué)報(bào), 2020, 42(10): 2454-2461. doi: 10.11999/JEIT190748
Kai SHAO, Shudong LI, Guangyu WANG, Tianfei FU. Hysteretic Noisy Chaotic Neural Networks Based Pilot Assignment[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2454-2461. doi: 10.11999/JEIT190748
Citation: Kai SHAO, Shudong LI, Guangyu WANG, Tianfei FU. Hysteretic Noisy Chaotic Neural Networks Based Pilot Assignment[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2454-2461. doi: 10.11999/JEIT190748

基于遲滯噪聲混沌神經(jīng)網(wǎng)絡(luò)的導(dǎo)頻分配

doi: 10.11999/JEIT190748
詳細(xì)信息
    作者簡(jiǎn)介:

    邵凱:男,1977年生,副教授,研究方向?yàn)樾滦投噍d波調(diào)制技術(shù)、新型多址接入技術(shù)

    李述棟:男,1994年生,碩士,研究方向?yàn)锳I在無線通信中的應(yīng)用

    王光宇:男,1964年生,教授,研究方向?yàn)樾滦投噍d波調(diào)制技術(shù)、新型多址接入技術(shù)

    付天飛:男,1992年生,碩士,研究方向?yàn)榇笠?guī)模MIMO導(dǎo)頻污染抑制技術(shù)

    通訊作者:

    邵凱 shaokai@cqupt.edu.cn

  • 中圖分類號(hào): TN911

Hysteretic Noisy Chaotic Neural Networks Based Pilot Assignment

  • 摘要: 在多小區(qū)大規(guī)模多輸入多輸出(MIMO)系統(tǒng)中,導(dǎo)頻污染已經(jīng)成為制約整個(gè)系統(tǒng)的瓶頸。合理地使用導(dǎo)頻資源能減輕導(dǎo)頻污染的影響,為了尋找使邊緣用戶和容量最大的導(dǎo)頻分配方式,該文首次提出了基于遲滯噪聲混沌神經(jīng)網(wǎng)絡(luò)(HNCNN)的導(dǎo)頻分配方案。遲滯噪聲混沌神經(jīng)網(wǎng)絡(luò)作為良好的優(yōu)化工具,其優(yōu)化能力與所設(shè)計(jì)的能量函數(shù)相關(guān)。該方案結(jié)合導(dǎo)頻資源使用的特點(diǎn)以及最大化邊緣用戶和容量的計(jì)算方式,設(shè)計(jì)了新的能量函數(shù)。仿真結(jié)果表明,網(wǎng)絡(luò)能在一定迭代次數(shù)后收斂到較優(yōu)的導(dǎo)頻分配方式。與其它文獻(xiàn)方案相比,采用以HNCNN為框架求取導(dǎo)頻分配方式,可以更有效減輕導(dǎo)頻污染的影響,使系統(tǒng)性能得到改善。
  • 圖  1  導(dǎo)頻分配示意圖($L$=3,$K$=4)

    圖  2  用戶分組門限示意圖

    圖  3  導(dǎo)頻分配矩陣示例

    圖  4  基于HNCNN的導(dǎo)頻分配流程框圖

    圖  5  多小區(qū)多用戶場(chǎng)景

    圖  6  不同算法的邊緣用戶上行傳輸容量對(duì)比

    圖  7  不同算法的用戶上行傳輸容量對(duì)比

    表  1  大規(guī)模MIMO參數(shù)

    參數(shù)取值
    小區(qū)數(shù)$L$7
    每小區(qū)天線數(shù)256
    小區(qū)半徑1.6 km
    小區(qū)服務(wù)數(shù)12
    上下行發(fā)射功率15 dBm, 43 dBm
    路徑衰落指數(shù)$\alpha $3.8
    用戶分組門限F0.33
    對(duì)數(shù)陰影衰落8 dB
    下載: 導(dǎo)出CSV

    表  2  HNCNN仿真分析

    場(chǎng)景隨機(jī)平均$\Sigma $算法有效次數(shù)平均$\varSigma$提升比例(%)
    158.38HNCNN-C981/100078.7334.86
    HNCNN-A1000/100079.9036.86
    265.43HNCNN-C982/100084.9829.88
    HNCNN-A990/100085.8631.22
    378.26HNCNN-C964/100097.0724.04
    HNCNN-A982/100097.4924.57
    454.47HNCNN-C982/100065.6520.53
    HNCNN-A1000/100067.1323.24
    559.04HNCNN-C946/100082.2039.23
    HNCNN-A958/100083.6641.70
    662.81HNCNN-C984/100073.1416.45
    HNCNN-A993/100074.8019.09
    下載: 導(dǎo)出CSV
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出版歷程
  • 收稿日期:  2019-09-27
  • 修回日期:  2020-05-29
  • 網(wǎng)絡(luò)出版日期:  2020-06-24
  • 刊出日期:  2020-10-13

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