Feasibility study and spatial-temporal characteristics analysis for 28 GHz outdoor wireless channel modelling

被引:15
作者
Ko, Junghoon [1 ]
Lee, Kyoungtae [1 ]
Cho, Yeon-Jea [2 ]
Oh, Sangmin [1 ]
Hur, Sooyoung [3 ]
Kang, Noh-Gyoung [3 ]
Park, Jeongho [3 ]
Park, Dong-Jo [1 ]
Cho, Dong-Ho [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon, South Korea
[2] KT, R&D Ctr, Seongnam, South Korea
[3] Samsung Elect, Next Generat Commun Business Team, Suwon, South Korea
关键词
mean square error methods; random sequences; synchronisation; millimetre wave propagation; 5G mobile communication; wireless channels; spatial temporal characteristics analysis; outdoor wireless channel modelling; mobile data usage; millimetre wave band; 5G cellular networks; channel measurement system; time synchronisation scheme; sliding correlator channel sounder; pseudorandom noise sequences; wave propagation; wideband channel characteristics; foliage effects; signal outage; path loss; root mean square; RMS; frequency; 28; GHz; MILLIMETER-WAVE PROPAGATION; STATISTICAL-MODEL;
D O I
10.1049/iet-com.2015.0318
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents analyses of the feasibility for the 28 GHz band with a comprehensive overview of important channel parameters. A channel measurement system with a time synchronisation scheme is also introduced which is a sliding correlator channel sounder using 250 Mcps (Mega-chips-per-second) pseudo-random noise sequences. The system enables the observation of the behaviour of 28 GHz wave propagation not only to use of forming narrow beams in certain directions (classical narrow beam beamforming) but also omni-likely. This novel synchronised system makes it possible to analyse the wideband channel characteristics. The outdoor channel measurements are conducted considering various features such as foliage effects, signal outage, path loss and outdoor-to-indoor conditions. Furthermore, the spatial channel modelling for omni-like observations with temporal characteristics is firstly interpreted through analysing the essential channel modelling parameters, including the number of clusters, excess delay, root-mean-square (RMS) delay spread, power delay spectrum, and angular spread. In the authors' measurements, the average number of clusters was 2.41 with standard deviation of 1.44. The average RMS delay spread was 36.06 ns with standard deviation of 46.73 ns. Furthermore, the mean values of the RMS azimuth spreads of the angle of departure and arrival were 6.65 degrees and 24.04 degrees, respectively.
引用
收藏
页码:2352 / 2362
页数:11
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