Study on performance of MIMO system with directional antenna elements

被引:0
作者
Zhou, Jie [1 ]
Wang, Yalin [1 ]
Luo, Hong [1 ]
Kikuchi, Hisakazu [2 ]
机构
[1] College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing
[2] Department of Electronic and Electrical Engineering, Niigata University, Niigata
来源
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2015年 / 43卷 / 01期
关键词
Azimuth power spectrum; Directional antenna; Multiple input multiple output (MIMO); Performance evaluation; Statistical fading channel;
D O I
10.13245/j.hust.150124
中图分类号
学科分类号
摘要
Directional antenna elements were introduced while considering spatial fading correlation (SFC) and multiple input multiple output (MIMO) multi-antenna model of user terminal was studied on which based on statistical channel model and performance evaluation methods. Azimuth power spectrum (APS) model of arrival signal for user terminal was applied to MIMO channel modeling of Kronecker. With this MIMO channel model concept, the impact of directivity of antenna element on system performance in statistical channel model which included SFC coefficient, MIMO multi-path channel capacity and bit error ratio (BER) was analyzed. Simulation and optimization results show that the directivity of array element in MIMO multi-antenna model has a significant impact on system performance. Reasonable arrangement for beam direction of array elements can increase multi-path capacity by about 10% and reduce BER. ©, 2015, Huazhong University of Science and Technology. All right reserved.
引用
收藏
页码:116 / 121
页数:5
相关论文
共 14 条
[1]  
Shafi M., Zhang M., Moustakas A.L., Et al., Polarized MIMO channels in 3-D: models, measurements and mutual information, IEEE Journal on Selected Areas on Communication, 24, 3, pp. 514-527, (2006)
[2]  
Taga T., Analysis for mean effective gain of mobile antennas in land mobile radio environments, IEEE Trans on Vehicular Technology, 39, 2, pp. 117-131, (1990)
[3]  
Li X., Gaussian angular distributed MIMO channel model, IEEE International Conference on Vehicular Technology, pp. 1-5, (2011)
[4]  
Lee W.C., Mobile Communication Engineering, (1997)
[5]  
Zhou J., Sasaki S., Muramatsu S., Et al., Spatial correlation for a circular antenna array and its applications in wireless communications, Proc of IEEE Global Telecommunications Conference, pp. 1108-1113, (2003)
[6]  
Yong S.K., Thompson J.S., Three-dimensional spatial fading correlation models for compact MIMO receiver, IEEE Transaction on Wireless Communications, 4, 6, pp. 2856-2869, (2005)
[7]  
Zhou J., Qiu L., Li C., Et al., Analyses and comparisons of geometrical-based channel model arisen from scatterers on a hollow-disc for outdoor and indoor wireless environments, IET Communications, 6, 17, pp. 2775-2786, (2012)
[8]  
Buyukcorak S., Karabulut Kurt G., Simulation and measurement of spatial correlation in MIMO systems with ray tracing, Proc of IEEE International Conference on Signal Processing and Communication Systems, pp. 1-5, (2011)
[9]  
Buehrer R.M., The impact of angular energy distribution on spatial correlation, Proc of IEEE Vehicular Technology Conference, pp. 1173-1177, (2002)
[10]  
Yong S.K., Thompson J.S., Three-dimensional spatial fading correlation models for compact MIMO receiver, IEEE Transactions on Wireless Communication, 4, 6, pp. 2856-2869, (2005)