Wireless Communication Using Dual Antenna Arrays
Wireless Communication Using Dual Antenna Arrays
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Fundamentals of wireless communication
Fundamentals of wireless communication
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
A Novel Isotropic Scatter Distribution Wideband MIMO M2M Fading Channel Model
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Measurement-based modeling of vehicle-to-vehicle MIMO channels
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Simulation models for MIMO mobile-to-mobile channels
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
A generic model for MIMO wireless propagation channels in macro- and microcells
IEEE Transactions on Signal Processing
MIMO Diversity in the Presence of Double Scattering
IEEE Transactions on Information Theory
An empirically based path loss model for wireless channels in suburban environments
IEEE Journal on Selected Areas in Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Throughput and PER estimates harnessing link-layer measurements for indoor 802.11n WLAN
Computer Standards & Interfaces
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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.