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基于高斯混合模型的下行小區(qū)間干擾分布

嚴(yán)小軍,  徐景,  朱元萍,  楊旸,  王江

嚴(yán)小軍, 徐景, 朱元萍, 楊旸, 王江. 基于高斯混合模型的下行小區(qū)間干擾分布[J]. 電子與信息學(xué)報, 2016, 38(10): 2598-2604. doi: 10.11999/JEIT151459
引用本文: 嚴(yán)小軍, 徐景, 朱元萍, 楊旸, 王江. 基于高斯混合模型的下行小區(qū)間干擾分布[J]. 電子與信息學(xué)報, 2016, 38(10): 2598-2604. doi: 10.11999/JEIT151459
YAN Xiaojun, XU Jing, ZHU Yuanping, YANG Yang, WANG Jiang. Distribution of Downlink Inter-cell Interference Based on Gaussian Mixture Model[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2598-2604. doi: 10.11999/JEIT151459
Citation: YAN Xiaojun, XU Jing, ZHU Yuanping, YANG Yang, WANG Jiang. Distribution of Downlink Inter-cell Interference Based on Gaussian Mixture Model[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2598-2604. doi: 10.11999/JEIT151459

基于高斯混合模型的下行小區(qū)間干擾分布

doi: 10.11999/JEIT151459
基金項(xiàng)目: 

國家自然科學(xué)基金(61571303)，國家科技部國際合作項(xiàng)目(2014DFE10160)，國家重大專項(xiàng)(2015ZX03002004)，上海市科委項(xiàng)目(15511103200)

Distribution of Downlink Inter-cell Interference Based on Gaussian Mixture Model

Funds: 

The National Natural Science Foundation of China (61571303), The International Science and Technology Cooperation Program of China (2014DFE10160), The National Science and Technology Major Project (2015ZX03002004), The Science and Technology Commission of Shanghai Municipality (15511103200)

  • 摘要: 在正交頻分多址接入(Orthogonal Frequency Division Multiple Access, OFDMA)蜂窩網(wǎng)絡(luò)中，小區(qū)間干擾的統(tǒng)計特性與網(wǎng)絡(luò)性能密切相關(guān)。下行小區(qū)間干擾的累積分布函數(shù)(Cumulative Distribution Function, CDF)還沒有一個閉合表達(dá)式。該文提出一種參數(shù)可顯式計算的高斯混合模型對下行小區(qū)間干擾分布進(jìn)行近似。進(jìn)一步，利用高斯混合模型將下行小區(qū)間干擾的累積分布函數(shù)近似表示為若干個誤差函數(shù)的加權(quán)和。仿真驗(yàn)證了高斯混合模型的準(zhǔn)確性，并且表明基于高斯混合模型的累積分布函數(shù)能很好地近似下行小區(qū)間干擾的累積分布函數(shù)。
    Abstract: In Orthogonal Frequency Division Multiple Access (OFDMA)-based cellular networks, the statistical characteristics of the Inter-Cell Interference (ICI) are closely related to network performances. There is no closed-form expression for the Cumulative Distribution Function (CDF) of the ICI. The Gaussian Mixture Model (GMM) whose parameters can be computed explicitly is proposed to approximate the distribution of the downlink ICI. Then using the GMM, the CDF of the ICI is approximated as the weighted sum of some error functions. Simulation verifies the accuracy of the GMM and shows that the CDF based on the GMM can well approximate the CDF of the ICI.
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出版歷程
  • 收稿日期:  2015-12-24
  • 修回日期:  2016-05-19
  • 刊出日期:  2016-10-19

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