Capacity fades analysis of MIMO Rician channels in mobile ad hoc networks

Multiple-input multiple-output (MIMO) mobile ad hoc networks have been receiving increased attention in both commercial and military applications. Just as in cellular networks, MIMO technologies can benefit ad hoc networks by providing the diversity and capacity advantages as well as the spatial degree of freedom in designing the media access control (MAC) protocol. However, one fundamental issue of MIMO mobile ad hoc networks is how to accurately model the impact of spatial/temporal channel correlation in the mobile-to-mobile communications environment. In such a channel, line-of-sight (LOS) components and different scattering environments will affect both ergodic capacity and average capacity fading duration of the MIMO system. In this paper, based on the double-ring scattering model with LOS components we suggest a sum-of-sinusoids MIMO mobile-to-mobile channel simulation method, which can characterize the spatial/temporal channel correlation and Rician fading effect. Our numerical results show the ergodicity of our proposed channel model, correctness of the analytical channel correlation, effect of spatial correlation on channel capacity, impact of the number of antennas and scatterers on capacity, capacity distribution, and level crossing rate (LCR) and average fading duration (AFD) of MIMO Rician channel capacity. We also show the impacts of Rician factor K on channel capacity, probability density function (PDF), LCR, and AFD.

[1]  Lassi Hentila,et al.  WINNER II Channel Models , 2009 .

[2]  Matthias Pätzold,et al.  A Mimo Mobile-To-Mobile Channel Model: Part II - The Simulation Model , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  Ping-Heng Kuo,et al.  Temporal behavior of MIMO channel quality metrics , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[4]  Mansoor Shafi,et al.  On a Gaussian approximation to the capacity of wireless MIMO systems , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[5]  Shuangquan Wang,et al.  Time-Varying MIMO Channels: Parametric Statistical Modeling and Experimental Results , 2007, IEEE Transactions on Vehicular Technology.

[6]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[7]  Gordon L. Stüber,et al.  Space-Time Correlated Mobile-to-Mobile Channels: Modelling and Simulation , 2008, IEEE Transactions on Vehicular Technology.

[8]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

[9]  Li-Chun Wang,et al.  A statistical mobile-to-mobile Rician fading channel model , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[10]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[11]  M. Patzold,et al.  A MIMO Mobile-to-Mobile Channel Model Derived from a Geometric Street Scattering Model , 2007, 2007 4th International Symposium on Wireless Communication Systems.

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

[13]  Gordon L. Stüber,et al.  Three-Dimensional Modeling, Simulation, and Capacity Analysis of Space–Time Correlated Mobile-to-Mobile Channels , 2008, IEEE Transactions on Vehicular Technology.

[14]  P. Beckman,et al.  Use of mobile mesh networks for inter-vehicular communication , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[15]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[16]  Gordon L. Stüber,et al.  A Three Dimensional Parametric Model for Wideband MIMO Mobile-to-Mobile Channels , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[17]  Fredrik Tufvesson,et al.  Measurement-Based Modeling of Vehicle-to-Vehicle MIMO Channels , 2009, 2009 IEEE International Conference on Communications.

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

[19]  Li-Chun Wang,et al.  Modelling and capacity analysis of MIMO Rician fading channels for mobile-to-mobile , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[20]  Matthias Pätzold,et al.  A wideband multiple-cluster MIMO mobile-to-mobile channel model based on the geometrical street model , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[21]  Matthias Pätzold,et al.  A MIMO Mobile-To-Mobile Channel Model: Part I - The Reference Model , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[22]  T. G. Pratt,et al.  Simulation of Rayleigh faded mobile-to-mobile communication channels , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[23]  Gordon L. Stüber,et al.  Space-Time Correlated MIMO Mobile-To-Mobile Channels , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[24]  J. S. Dowker,et al.  Fundamentals of Physics , 1970, Nature.

[25]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[26]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[27]  Hsiao-Hwa Chen,et al.  Space-Time-Frequency Characterization of Non-Isotropic MIMO Mobile-to-Mobile Multicarrier Ricean Fading Channels , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

[28]  Joseph M. Kahn,et al.  Wireless Communication Using Dual Antenna Arrays , 1999 .

[29]  G.L. Stuber,et al.  Simulation Models for MIMO Mobile-to-Mobile Channels , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[30]  Jaakko J. Sauvola,et al.  Features in future: 4G visions from a technical perspective , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[31]  Larry J. Greenstein,et al.  An empirically based path loss model for wireless channels in suburban environments , 1999, IEEE J. Sel. Areas Commun..

[32]  Shidong Zhou,et al.  Capacity autocorrelation characteristic of MIMO systems over Doppler spread channels , 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

[33]  Hsiao-Hwa Chen,et al.  A Generic Geometrical-Based MIMO Mobile-to-Mobile Channel Model , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

[34]  I. Miller.  Probability, Random Variables, and Stochastic Processes , 1966 .

[35]  Chen Wei,et al.  A Novel Isotropic Scatter Distribution Wideband MIMO M2M Fading Channel Model , 2009, 2009 Seventh Annual Communication Networks and Services Research Conference.

[36]  Hyundong Shin,et al.  MIMO Diversity in the Presence of Double Scattering , 2005, IEEE Transactions on Information Theory.

[37]  Andrea Giorgetti,et al.  Level crossing rates and MIMO capacity fades: impacts of spatial/temporal channel correlation , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[38]  Mansoor Shafi,et al.  An approximate capacity distribution for MIMO systems , 2004, IEEE Transactions on Communications.

[39]  Kavita Rawat,et al.  Vehicular Ad Hoc Network , 2006 .

[40]  Mary Ann Ingram,et al.  Studies on the capacity of MIMO systems in mobile-to-mobile environment , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[41]  Gordon L. Stüber,et al.  A Three-Dimensional MIMO Mobile-to-Mobile Channel Model , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[42]  Norman C. Beaulieu,et al.  Second-order statistical properties of the WSS Jakes' fading channel simulator , 2002, IEEE Trans. Commun..

[43]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..

[44]  Andreas F. Molisch,et al.  A generic model for MIMO wireless propagation channels in macro- and microcells , 2004, IEEE Transactions on Signal Processing.

[45]  Andrea Giorgetti,et al.  MIMO capacity, level crossing rates and fades: The impact of spatial/temporal channel correlation , 2003, Journal of Communications and Networks.

[46]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.