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Coverage analysis of ultra-dense heterogeneous cellular networks with interference management

机译:具有干扰管理的超密集异构蜂窝网络的覆盖范围分析

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摘要

Deploying ultra-dense small base stations (SBSs) in the coverage umbrella of a macro base station (MBS) requires proactive users offloading form MBS to SBSs to achieve maximum performance gain in heterogeneous cellular networks. However, it degrades the signal-to-interference-plus-noise ratio (SINR) of the offloaded users due to strong interference received from MBS. To improve users' SINR, an efficient interference mitigation scheme is required to be used in conjunction with users offloading. Soft frequency reuse (SFR) is an attractive and spectrally efficient interference mitigation scheme that allocates available bandwidth among all cell users associated with kBSdocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} egin{document}$$k{ext{BS}}$$end{document}, where k is an element of(M,S)documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} egin{document}$$kin ({ext{M}},{ext{S}})$$end{document}. To address the problem of interference, we use the SFR scheme together with power control factor (beta)documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} egin{document}$$(eta )$$end{document} to transmit at different power levels for interior and edge regions of kBSdocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} egin{document}$$k{ext{BS}}$$end{document}, i.e., rkiandrkedocumentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} egin{document}$$r<^>i_{k} ,{ext{and}}, r<^>e_{k}$$end{document}, respectively. We further consider uniform and nonuniform SBS distribution in the premises of MBS and analyse the effect of the SFR scheme on the proposed model with the help of Stochastic geometry. Mathematical expressions for coverage probabilities are derived and validated through simulations. Numerical results show that the proposed model achieves better coverage probability due to reduced interference. Moreover, nonuniform SBS distribution together with the SFR scheme further improves the performance gain of the proposed model.
机译:在宏基站(MBS)的覆盖范围内部署超密集小型基站(SBS)要求主动用户将MBS卸载到SBS,以在异构蜂窝网络中获得最大的性能提升。但是,由于从MBS接收到的强烈干扰,它降低了已卸载用户的信号干扰加噪声比(SINR)。为了提高用户的SINR,需要结合用户卸载来使用有效的干扰缓解方案。软频率重用(SFR)是一种有吸引力且在频谱上有效的干扰缓解方案,可在与kBS documentclass [12pt] {minimum} usepackage {amsmath} usepackage {wasysym} usepackage {amsfonts}相关联的所有小区用户之间分配可用带宽usepackage {amssymb} usepackage {amsbsy} usepackage {mathrsfs} usepackage {upgreek} setlength { oddsidemargin} {-69pt} begin {document} $$ k { text {BS}} $$ end {document },其中k是(M,S) documentclass [12pt] {minimum} usepackage {amsmath} usepackage {wasysym} usepackage {amsfonts} usepackage {amssymb} usepackage {amsbsy} usepackage {mathrsfss } usepackage {upgreek} setlength { oddsidemargin} {-69pt} begin {document} $$ k in({ text {M}},{ text {S}})$$ end {document} 。为了解决干扰问题,我们将SFR方案与功率控制因子(beta) documentclass [12pt] {minimum} usepackage {amsmath} usepackage {wasysym} usepackage {amsfonts} usepackage {amssymb} usepackage一起使用{amsbsy} usepackage {mathrsfs} usepackage {upgreek} setlength { oddsidemargin} {-69pt} begin {document} $$( beta)$$ end {document}以不同的功率水平传输内部和外部kBS documentclass [12pt]的边缘区域{最小} usepackage {amsmath} usepackage {wasysym} usepackage {amsfonts} usepackage {amssymb} usepackage {amsbsy} usepackage {mathrsfs} usepackage {upgreek} setlength { oddsidemargin} {-69pt} begin {document} $$ k { text {BS}} $$ end {document},即rkiandrke documentclass [12pt] {minimal} usepackage {amsmath} usepackage {wasysym } usepackage {amsfonts} usepackage {amssymb} usepackage {amsbsy} usepackage {mathrsfs} usepackage {upgreek} setlength { oddsidemargin} {-69pt} begin {document} $$ r <^> i_ {k } ,{ text {and}} ,r <^> e_ {k} $$ end {document},尊重伊利我们进一步考虑了MBS前提下均匀和不均匀的SBS分布,并借助随机几何分析了SFR方案对所提出模型的影响。通过模拟推导并验​​证了覆盖率概率的数学表达式。数值结果表明,所提出的模型由于减少了干扰而获得了更好的覆盖概率。此外,不均匀的SBS分布以及SFR方案进一步提高了所提出模型的性能增益。

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