室外28 GHz信道阴影衰落因子估计算法的研究
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摘要
阴影衰落方差是表征信道大尺度特性的重要参数。采用连续波信道测量方法,基于自由空间参考距离损耗模型(Close In(CI)Reference Distance Path Loss Model)和浮动截距损耗模型(Floating Intercept(FI)Path Loss Model),分析了4.5 m和7.8 m接收机高度下的路径损耗指数n、损耗截距α、斜率β和阴影衰落方差σ等参数。分析表明增大接收机高度,截距α减小11.8 d B,σFI增大1.99 d B,σCI增大0.37d B。此外,在高频段CI模型的鲁棒性要强于FI模型。
Standard deviation due to shadowing is an important parameter for characterizing the large-scale fading channel. Based on close in( CI) reference distance path loss model and floating intercept( FI) path loss model,continue wave channel measurements are conducted to analyzes the influence of the receiver height on path loss exponent n,intercept α,slope β,and shadowing fading variance σ. The results show that the interceptα decreases 11. 8 d B,the standard deviation σFIincreases1. 99 d B,σCIincreases 0. 37 d B when the receiver height increases. In addition,CI path loss model can obtain more robust attenuation exponent than that of the FI model.
Standard deviation due to shadowing is an important parameter for characterizing the large-scale fading channel. Based on close in( CI) reference distance path loss model and floating intercept( FI) path loss model,continue wave channel measurements are conducted to analyzes the influence of the receiver height on path loss exponent n,intercept α,slope β,and shadowing fading variance σ. The results show that the interceptα decreases 11. 8 d B,the standard deviation σFIincreases1. 99 d B,σCIincreases 0. 37 d B when the receiver height increases. In addition,CI path loss model can obtain more robust attenuation exponent than that of the FI model.
引文
[1]THOMAS R,JONAS K,TIM I,et al.Description of the spectrum needs and usage principles[EB/OL].[2017-02-05].https:∥www.metis2020.com.
[2]NGUYEN H C,RODRIGUEZ I,SORENEN T B,et al.An empirical study of urban macro propagation at 10,18 and28 GHz[C]∥IEEE 83th Vehicular Technology Conference(VTC).2016:1-5.
[3]SULYMAN A I,NASSAR A T,SAMIMI M K,et al.Radio propagation path loss models for 5G cellular networks in the 28 GHZ and 38 GHZ millimeter-wave bands[J].IEEE Communications Magazine,2014,52(9):78-86.
[4]MACCARTNEY G R,ZHANG J,NIE S,et al.Path loss models for 5G millimeter wave propagation channels in urban microcells[C]∥IEEE Global Communications Conference(GLOBECOM).2013:3948-3953.
[5]MACCARTNEY G R,RAPPAPORT T S,SUN S,et al.Indoor office wideband millimeter-wave propagation measurements and channel models at 28 and 73 GHz for ultradense 5G wireless networks[J].IEEE Access,2015,3:2388-2424.
[6]3GPP.TR 36.873 Study on 3D channel model for LTE(release12)[S].2015:1-42.
[7]KYSTI P,JMST,SCHNEIDER C,et al.WINNER II channel models[EB/OL].[2017-01-29].https:∥www.researchgate.net/publication/234055761.
[8]GUO B,WU Y,YANG M,et al.28 GHz millimeter wave propagation models based on ray-tracing in urban scenario[C]∥IEEE 26th Annual International Symposium on Personal.2015:2209-2213.
[9]HUR S,BAEK S,KIM B,et al.Proposal on millimeterwave channel modeling for 5G cellular system[J].IEEE Journal of Selected Topics in Signal Processing,2016,10(3):454-469.
[10]SULYMAN A I,ALWARAFY A,MACCARTNEY G R,et al.Directional radio propagation path loss models for millimeter-wave wireless networks in the 28-,60-,and 73 GHz Bands[J].IEEE Transactions on Wireless Communications,2016,15(10):6939-6947.
[11]KARTTUNEN A,GUSTAFSON C,MOLISCH A F,et al.Path loss models with distance-dependent weighted fitting and estimation of censored path loss data[J].IET Microwaves,Antennas&Propagation,2016,10(14):1467-1474.
[12]OH S,CHO D H,CHO Y J,et al.A feasibility study and spatial-temporal characteristics analysis for 28 GHz outdoor wireless channel modeling[J].IET Communications,2016,10(17):2352-2362.
[2]NGUYEN H C,RODRIGUEZ I,SORENEN T B,et al.An empirical study of urban macro propagation at 10,18 and28 GHz[C]∥IEEE 83th Vehicular Technology Conference(VTC).2016:1-5.
[3]SULYMAN A I,NASSAR A T,SAMIMI M K,et al.Radio propagation path loss models for 5G cellular networks in the 28 GHZ and 38 GHZ millimeter-wave bands[J].IEEE Communications Magazine,2014,52(9):78-86.
[4]MACCARTNEY G R,ZHANG J,NIE S,et al.Path loss models for 5G millimeter wave propagation channels in urban microcells[C]∥IEEE Global Communications Conference(GLOBECOM).2013:3948-3953.
[5]MACCARTNEY G R,RAPPAPORT T S,SUN S,et al.Indoor office wideband millimeter-wave propagation measurements and channel models at 28 and 73 GHz for ultradense 5G wireless networks[J].IEEE Access,2015,3:2388-2424.
[6]3GPP.TR 36.873 Study on 3D channel model for LTE(release12)[S].2015:1-42.
[7]KYSTI P,JMST,SCHNEIDER C,et al.WINNER II channel models[EB/OL].[2017-01-29].https:∥www.researchgate.net/publication/234055761.
[8]GUO B,WU Y,YANG M,et al.28 GHz millimeter wave propagation models based on ray-tracing in urban scenario[C]∥IEEE 26th Annual International Symposium on Personal.2015:2209-2213.
[9]HUR S,BAEK S,KIM B,et al.Proposal on millimeterwave channel modeling for 5G cellular system[J].IEEE Journal of Selected Topics in Signal Processing,2016,10(3):454-469.
[10]SULYMAN A I,ALWARAFY A,MACCARTNEY G R,et al.Directional radio propagation path loss models for millimeter-wave wireless networks in the 28-,60-,and 73 GHz Bands[J].IEEE Transactions on Wireless Communications,2016,15(10):6939-6947.
[11]KARTTUNEN A,GUSTAFSON C,MOLISCH A F,et al.Path loss models with distance-dependent weighted fitting and estimation of censored path loss data[J].IET Microwaves,Antennas&Propagation,2016,10(14):1467-1474.
[12]OH S,CHO D H,CHO Y J,et al.A feasibility study and spatial-temporal characteristics analysis for 28 GHz outdoor wireless channel modeling[J].IET Communications,2016,10(17):2352-2362.