Computer Science ›› 2020, Vol. 47 ›› Issue (6): 271-275.doi: 10.11896/jsjkx.190500022

• Computer Network • Previous Articles     Next Articles

MIMO Channels with Arbitrary AoA Power Spectrum for Various Wireless Environments

CHEN Qian1, ZHOU Jie1, SHAO Gen-fu2   

  1. 1 School of Electronic and Information,Nanjing University of Information Science and Technology,Nanjing 210044,China
    2 School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China
  • Received:2019-05-06 Online:2020-06-15 Published:2020-06-10
  • About author:CHEN Qian,born in 1996, master’s degree.Her main research interests is wireless communication and so on.
    ZHOU Jie,born in 1964,doctor,professor.His main research interests is wireless communication, mass MIMO and so on.
  • Supported by:
    This work was supported by the General Program of National Natural Science Foundation of China(61771248,61471153);a project funded by the priority academic program development of the Jiangsu higher educationinstitutions.

Abstract: For wireless environments,this paper proposes an approximate algorithm for the arbitrary AoA power spectrum,which is to expand for the large-angle AoA PDF with small angles approximation,calculates and derives the fading correlation of wireless channel in the case of various fittings and measured data,then reconstructs the channel model of the MIMO for special environments,by using spatial fading correlation (SFC).Firstly,it investigates in depth the approximate algorithm and its complexity in SFC of multi-antenna arrays with small AoA angles under Gaussian and Laplace distributions,which are capable of Macrocell and Microcell.Secondly,the common channel Von Mises distribution data are used as a reference to obtain their MIMO multi-antenna SFC approximation simplifications in the angular domain.The calculation and simulation experiments show that the approximate method has a good fitting under certain conditions.The selection of the number of samples and the weighting coefficient in the large-angle expansion model and its fitting accuracy are discussed in detail.Furthermore,a method is used to quantify the applicability and calculation efficiency while analyzing the massive MIMO antenna array.Therefore,the proposed method has a good approximation,and can greatly reduce computational complexity.

Key words: Angle spread, Approximate algorithm, Fading channel correlation, MIMO, Power spectrum

CLC Number: 

  • TN911
[1]LI W,NIE Z P.Airspace Correlation Evaluation of Fading Signals in MIMO Channels[J].Chinese Journal of Electronics,2004,32(12):1949-1953.
[2]JIANG K L,CHEN X M,ZHU Q M.Non-stationary MIMO channel construction and parameter evolution method for 3D scenes[J].Journal of Applied Sciences,2018,36(5):56-68.
[3]LUO N.Analysis of the Influence of Spatial Correlation on MIMO Communication[J].Electronic Technology Application,2014,40(10):1-7.
[4]ZHOU J,ZOU S J,CHEN Z.Fading-correlation channel approximation algorithm and its Massive MIMO system analysis[J].Journal of Xinjiang University(Natural Science),2018,35(3):100-111.
[5]ZHOU J,WANG Y L,KIKUCHI K.Approximate algorithm for spatial fading correlation of multi-antenna channel and its complexity[J].Acta Physica Sinica,2014,63(23):1-12.
[6]ZHU Q M,XU D Z,LUO Y Q,et al.A Simplified Model for Spatial Correlation Evaluation of Multiple Input Multiple Output Channels[J].Chinese Journal of Radio Science,2011,26(2):203-208.
[7]GAO K,ZHANG E Y.Spatial Correlation Properties and Channel Capacity Analysis of MIMO Channels[J].Journal of Electronics & Information Technology,2007,29(7):1542-1545.
[8]ZHU Q M,XUE C W,YANG Y.Research on Spatial Correlation of Antenna Arrays in 3D Propagation Environment[J].Systems Engineering and Electronics,2017(9):1-8.
[9]LEE W C Y.Effects on correlation between two mobile radio base-station antennas[J].IEEE IEEE Transactions on Communications,1973,COM-21(11):1214-1224.
[10]GRADSHT E,RYZH K.Table of integrals,series and products[M].USA:Academic Press,1980.
[11]TSAI J A,BUEHRER R M,WOERNER B D.Spatial fading correlation function of circular antenna arrays with Laplacian energy distribution[J].Communications Letters IEEE,2002,6(5):178-180.
[12]HSIEH P C,CHEN F C.A new MIMO spatial correlation approximation of large angular spread[C]//Antennas & Propagation Society International Symposium.IEEE,2007.
[13]CHUANG J T,CHEN F C.Comparison of MIMO spatial correlation approximations under large angular spread[C]//Antennas & Propagation Society International Symposium.IEEE,2008.
[14]SIESKUL B T,KUPFERSCHMIDT C,KAISER T.Spatial fading correlation for semicircular scattering:Angular spread and spatial frequency approximations[C]//International Conference on Communications & Electronics.IEEE,2010.
[15]TEAL P D,ABHAYAPALA T D,KENNEDY R A.Spatial correlation for general distributions of scatterers[J].IEEE Signal Processing Letters,2002,9(10):305-308.
[16]ZHOU J,CAO Z G,KIKUCHI H.Analysis of MIMO antenna array based on 3D Von Mises Fisher distribution[J].Journal of China Universities of Posts and Telecommunications,2015,22(2):1-12.
[17]YONG S K,HONPSON J S.Three dimensional spatial fading correlation model for compact MIMO receivers[J].IEEE Trans.Wireless Communications,2005,4(6):2856-2869.
[18]GUTIERREZ C A,PATZOLD M.Sum of sinusoids based simulation of flat fading wireless propagation channels under non-Isotropic scattering conditions[C]//Global Telecommunications Conference.IEEE,2007:3842-3846.
[19]GRADSHTEYN I S,RYZHIK I M.Table of integrals,series and products[J].Mathematics of Computation,2007,20(96):1157-1160.
[1] WU Su-jie, ZHOU Jie, WANG Xue-ying, LYU Zhi-kang, SHAO Gen-fu. Study on Characteristics of Millimeter-wave MIMO Channel in Rainfall Environment [J]. Computer Science, 2022, 49(7): 297-303.
[2] JIANG Rui, XU Shan-shan, XU You-yun. New Hybrid Precoding Algorithm Based on Sub-connected Structure [J]. Computer Science, 2022, 49(5): 256-261.
[3] TANG Chao-chen, QIU Hong-bing, LIU Xin, TANG Qing-hua. Angle Estimation of Coherent MIMO Radar Under the Condition of Non-uniform Noise [J]. Computer Science, 2022, 49(5): 262-265.
[4] ZHANG Zi-cheng, TAN Zhi-wei, ZHANG Chen-rui, WANG Xuan, LIU Xiao-xuan, YU Yi-biao. Speech Endpoint Detection Based on Bayesian Decision of Logarithmic Power Spectrum Ratio in High and Low Frequency Band [J]. Computer Science, 2021, 48(6A): 33-37.
[5] LENG Yue, XIE Ya-qin, LI Peng. Effect of Cross-polarization for Dual-polarized MIMO Channel in Satellite Communications [J]. Computer Science, 2021, 48(6A): 414-419.
[6] LI Hao,CUI Xin-kai,GAO Xiang-chuan. Maximum Likelihood Blind Detection Algorithm Based on Piecewise Gaussian Approximation for Massive MIMO Outdoor Wireless Optical Communication Systems [J]. Computer Science, 2020, 47(3): 255-260.
[7] LIAO Yong, YANG Xin-yi, XIA Mao-han, WANG Bo, LI Shou-zhi, SHEN Xuan-fan. Improved Tomlinson-Harashima Precoding Based on Greedy Algorithm in High-speed Mobile Scenarios [J]. Computer Science, 2019, 46(8): 121-126.
[8] LI Xiao-wei, YU Jiang, CHANG Jun, YANG Jin-peng, RAN Ya-xin. Non-cooperative Human Behavior Recognition Method Based on CSI [J]. Computer Science, 2019, 46(12): 266-271.
[9] WANG Peng-fei, ZHANG Hang. Sub-sampling Signal Reconstruction Based on Principal Component Under Underdetermined Conditions [J]. Computer Science, 2019, 46(10): 103-108.
[10] LIU Chun-ling, MA Qiu-cheng, ZHANG Ran. Resource Allocation of Capacity Maximization Based on MIMO System [J]. Computer Science, 2018, 45(11A): 299-302.
[11] CHEN Wen-wen, WANG Ya-lin and ZHOU Jie. Doppler Effect and Analysis of Signals in Three-dimensional Channel Model [J]. Computer Science, 2017, 44(3): 84-88.
[12] SUN Tao and ZHU Xiao-ming. Computing Longest Common Subsequences Approximately Based on Lattice [J]. Computer Science, 2017, 44(2): 270-274.
[13] QIAN Xiao-jie and WANG Chao. Cross-layer Optimization Algorithm Based on Raptor Code for Video Multicast [J]. Computer Science, 2016, 43(8): 50-54.
[14] TANG Tao, ZHANG Jie, PI Yu-qian, SHEN Xuan-fan and LIAO Yong. Research on Channel Loss of Tropospheric Scatter Communication Based on MIMO [J]. Computer Science, 2016, 43(3): 99-102.
[15] YANG Huan and HE Yuan-zhi. Correlated Channel Capacity of Virtual MIMO Based on Distributed Satellites [J]. Computer Science, 2015, 42(Z6): 276-278.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!