Simulation models for mobile-to-mobile channels with isotropic and nonisotropic scattering

Recent radio channel measurements in peer-to-peer (P2P) and mobile-to-mobile network indicate that, depending on the mobility of the terminals and scattering properties of the environment, the predominate fading mechanism contains a combination of Rayleigh and double Rayleigh fading with or without line-of-sight (LoS) component. In this paper, we present the statistical and deterministic models by the sum-of-complex-sinusoids to simulate the channels in isotropic and non-isotropic scattering. The auto- and cross correlations of the in-phase, quadrature components, and squared envelopes of the channels are derived. Extensive Monte Carlo simulations are performed to validate the statistical properties of the proposed models. The time-average statistical properties and the corresponding variances are also investigated to justify that the models achieve satisfactory convergence performance.

[1]  Claude Oestges,et al.  Experimental Characterization and Modeling of Outdoor-to-Indoor and Indoor-to-Indoor Distributed Channels , 2010, IEEE Transactions on Vehicular Technology.

[2]  Gordon L. Stüber,et al.  Simulation of Rayleigh-faded mobile-to-mobile communication channels , 2005, IEEE Transactions on Communications.

[3]  M. D. Austin,et al.  Velocity adaptive handoff algorithms for microcellular systems , 1994 .

[4]  Bo Ai,et al.  Geometrical-Based Statistical Modeling for Polarized MIMO Mobile-to-Mobile Channels , 2018, IEEE Transactions on Antennas and Propagation.

[5]  Matthias Pätzold,et al.  A Geometrical Three-Ring-Based Model for MIMO Mobile-to-Mobile Fading Channels in Cooperative Networks , 2011, EURASIP J. Adv. Signal Process..

[6]  Xiang Cheng,et al.  An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels , 2009, IEEE Transactions on Wireless Communications.

[7]  Ali Abdi,et al.  A space-time correlation model for multielement antenna systems in mobile fading channels , 2002, IEEE J. Sel. Areas Commun..

[8]  Hyundong Shin,et al.  Capacity of multiple-antenna fading channels: spatial fading correlation, double scattering, and keyhole , 2003, IEEE Trans. Inf. Theory.

[9]  Michael A. Jensen,et al.  A statistical model for angle of arrival in indoor multipath propagation , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[10]  Li-Chun Wang,et al.  Statistical Analysis of a Mobile-to-Mobile Rician Fading Channel Model , 2009, IEEE Transactions on Vehicular Technology.

[11]  Patrick Claus F. Eggers,et al.  Investigations of outdoor-to-indoor mobile-to-mobile radio communication channels , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[12]  David W. Matolak,et al.  Worse-than-Rayleigh fading: Experimental results and theoretical models , 2011, IEEE Communications Magazine.

[13]  Gordon L. Stüber,et al.  Efficient simulation of rayleigh fading with enhanced de-correlation properties , 2006, IEEE Transactions on Wireless Communications.

[14]  Reinaldo A. Valenzuela,et al.  Keyholes, correlations, and capacities of multielement transmit and receive antennas , 2002, IEEE Trans. Wirel. Commun..

[15]  Claude Oestges,et al.  Doppler characteristics for indoor mobile-to-mobile channels , 2017, 2017 11th European Conference on Antennas and Propagation (EUCAP).

[16]  Gordon L. Stüber,et al.  A new simulation model for mobile-to-mobile Rayleigh fading channels , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[17]  Li Wang,et al.  Cooperative Jamming-Aided Secrecy Enhancement in P2P Communications With Social Interaction Constraints , 2017, IEEE Transactions on Vehicular Technology.

[18]  Xiaoxin He,et al.  A Novel Generalized Modeling Mechanism for VHF and UHF Mobile-to-Mobile Channels , 2019, 2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN).

[19]  K. Anim-Appiah Complex envelope correlations for non-isotropic scattering , 1998 .

[20]  S. R. Jammalamadaka,et al.  Directional Statistics, I , 2011 .

[21]  Lin Gao,et al.  Scalable Mobile Crowdsensing via Peer-to-Peer Data Sharing , 2018, IEEE Transactions on Mobile Computing.

[22]  David W. Matolak,et al.  Vehicle–Vehicle Channel Models for the 5-GHz Band , 2008, IEEE Transactions on Intelligent Transportation Systems.

[23]  Ning Zhang,et al.  Multi-Agent-Based Unsupervised Detection of Energy Consumption Anomalies on Smart Campus , 2019, IEEE Access.

[24]  Matthias Pätzold,et al.  Modeling, analysis, and simulation of MIMO mobile-to-mobile fading channels , 2008, IEEE Transactions on Wireless Communications.

[25]  Carlos A. Gutiérrez-Díaz-de-León,et al.  Sum-of-Sinusoids-Based Simulation of Flat Fading Wireless Propagation Channels Under Non-Isotropic Scattering Conditions , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[26]  Ali Abdi,et al.  A parametric model for the distribution of the angle of arrival and the associated correlation function and power spectrum at the mobile station , 2002, IEEE Trans. Veh. Technol..

[27]  Yahong Rosa Zheng,et al.  Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms , 2002, IEEE Communications Letters.

[28]  Quan Xu,et al.  An Improved SoS Method for Generating Multiple Uncorrelated Rayleigh Fading Waveforms , 2010, IEEE Communications Letters.

[29]  Hao Jiang,et al.  A Novel 3-D Massive MIMO Channel Model for Vehicle-to-Vehicle Communication Environments , 2018, IEEE Transactions on Communications.

[30]  Wirawan,et al.  Correlated double ring channel model at high speed environment in vehicle to vehicle communications , 2018, 2018 International Conference on Information and Communications Technology (ICOIACT).

[31]  R. Valenzuela,et al.  Capacities of multi-element transmit and receive antennas: Correlations and keyholes , 2000 .

[32]  Jonathan Ling,et al.  Comparisons of a Computer-Based Propagation Prediction Tool with Experimental Data Collected in Urban Microcelluar Environments , 1997, IEEE J. Sel. Areas Commun..

[33]  Dongfeng Yuan,et al.  An Improved Deterministic SoS Channel Simulator for Multiple Uncorrelated Rayleigh Fading Channels , 2008, IEEE Transactions on Wireless Communications.

[34]  Helmut Bölcskei,et al.  Outdoor MIMO wireless channels: models and performance prediction , 2002, IEEE Trans. Commun..

[35]  Jørgen Bach Andersen Stastistical distributions in mobile communications using multiple scattering , 2002 .

[36]  Gordon L. Stüber,et al.  Envelope Level Crossing Rate and Average Fade Duration in Mobile-To-Mobile Fading Channels , 2008, 2008 IEEE International Conference on Communications.

[37]  Matthias Pätzold,et al.  On the spectral moments of non-WSSUS mobile-to mobile double-Rayleigh fading channels , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[38]  Xiang Cheng,et al.  D2D for Intelligent Transportation Systems: A Feasibility Study , 2015, IEEE Transactions on Intelligent Transportation Systems.

[39]  Claude Oestges,et al.  Measurement-Based Modeling of Time-Variant Fading Statistics in Indoor Peer-to-Peer Scenarios , 2015, IEEE Transactions on Antennas and Propagation.

[40]  Matthias Pätzold,et al.  Geometry-Based Statistical Modeling of Non-WSSUS Mobile-to-Mobile Rayleigh Fading Channels , 2018, IEEE Transactions on Vehicular Technology.

[41]  Biplab Sikdar,et al.  On the Feasibility of Using WiFi White Spaces for Opportunistic M2M Communications , 2015, IEEE Wireless Communications Letters.

[42]  J. Andersen,et al.  Power Distributions Revisited , 2002 .

[43]  W. Lee,et al.  Finding the approximate angular probability density function of wave arrival by using a directional antenna , 1973 .

[44]  Bo Ai,et al.  Mobility Model-Based Non-Stationary Mobile-to-Mobile Channel Modeling , 2018, IEEE Transactions on Wireless Communications.

[45]  Gordon L. Stüber,et al.  Comparative analysis of statistical models for the simulation of Rayleigh faded cellular channels , 2005, IEEE Transactions on Communications.

[46]  Matthias Pätzold,et al.  Accurate and efficient simulation of multiple uncorrelated Rayleigh fading waveforms , 2007, IEEE Transactions on Wireless Communications.

[47]  Matthias Pätzold,et al.  Two new sum-of-sinusoids-based methods for the efficient generation of multiple uncorrelated rayleigh fading waveforms , 2009, IEEE Transactions on Wireless Communications.

[48]  Matthias Patzold,et al.  The design of sum-of-cisoids rayleigh fading channel simulators assuming non-isotropic scattering conditions , 2010, IEEE Transactions on Wireless Communications.

[49]  Liang Wu,et al.  A 3D Cylinder MIMO Channel Model for 5G Macrocell Mobile-to-Mobile Communication Systems , 2019, IEEE Access.

[50]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .