异构网络中小区偏置和时域干扰协调的频谱效率分析
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摘要
研究采用小区偏置和时域干扰协调技术的异构网络的频谱效率.首先通过使用泊松点过程来描述基站和用户的空间位置分布,分析异构网络下行性能,如用户连接概率、用户与服务基站的距离分布以及用户和网络频谱效率;然后研究小区偏置值和空白子帧比例对异构网络频谱效率的影响.仿真实验中,通过蒙特卡洛仿真验证理论推导结果的正确性,并给出最大化网络区域频谱效率目标下的最优参数配置,该工作对于实际系统的参数设计具有参考意义.
A tractable framework was developed for spectral efficiency(SE)analyses of cell range expansion(CRE)and time-domain interference coordination in heterogeneous networks(HetNet).With the poisson point process to describe the spatial location of macro base stations and pico base stations,the downlink performance of HetNet,such as user connect probability,the statistical distance between user and its serving base station and SE of per-user and the whole network,was analyzed.Then,the effect of network deployment parameters including range expansion bias and macro blank subframes on network area spectral efficiency(ASE)was investigated.During simulation experiments,our theoretical results were verified through Monte Carlo simulations,and the optimum setting of network deployment parameters was given to maximize the network ASE.The results have significant importance for the optimal choice of deployment parameters in practical systems.
A tractable framework was developed for spectral efficiency(SE)analyses of cell range expansion(CRE)and time-domain interference coordination in heterogeneous networks(HetNet).With the poisson point process to describe the spatial location of macro base stations and pico base stations,the downlink performance of HetNet,such as user connect probability,the statistical distance between user and its serving base station and SE of per-user and the whole network,was analyzed.Then,the effect of network deployment parameters including range expansion bias and macro blank subframes on network area spectral efficiency(ASE)was investigated.During simulation experiments,our theoretical results were verified through Monte Carlo simulations,and the optimum setting of network deployment parameters was given to maximize the network ASE.The results have significant importance for the optimal choice of deployment parameters in practical systems.
引文
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[5]Pauli V,Naranjo J D,Seidel E.Heterogeneous LTE networks and inter-cell interference coordination[R].Nomor Research,Munich,Germany,2010.
[6]Ye Q Y,Rong B Y,Chen Y D,et al.User association for load balancing in heterogeneous cellular networks[EB/OL].http://arxiv.org/pdf/1205.2833v2.pdf.
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[12]Andrews J G,Ganti R K,Haenggi M,et al.A primer on spatial modeling and analysis in wireless networks[J].IEEE Communications Magazine,2010,48(11):156-163.
[13]Dhillon H S,Ganti R K,Baccelli F,et al.Modeling and analysis of K-tier downlink heterogeneous cellular networks[J].IEEE Journal on Selected Areas in Communications,2012,30(3):550-560.
[14]Andrews J G,Baccelli F,Ganti R K.A tractable approach to coverage and rate in cellular networks[J].IEEE Transactions on Communications,2011,59(11):3 122-3 134.
[15]Stoyan D,Kendall W S,Mecke J.Stochastic Geometry and Its Applications[M].Berlin,AkademieVerlag,1987.
[16]3GPP.TR36.814(V9.0.0),Further advancements for E-UTRA physical layer aspects[S].2010.