Statistical MIMO Channel Models for Mobile-to-Mobile Ad Hoc Communication Systems

• Main Authors: Yun-Huai Cheng, 鄭允懷
• Other Authors: Li-Chun Wang
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/mwarn6

碩士 === 國立交通大學 === 電信工程系所 === 94 === Mobile to mobile communication is one of important applications for the intelligent transport systems and mobile ad hoc networks. In such a system, both the transmitter and receiver are in motion, of which the signals experience Rician fading and different scattering effect. In this thesis, we present a correlated double-ring scattering model and a sum-of-sinusoids simulation method to characterize such a mobile-to-mobile Rician fading channel. The developed model can facilitate the physical layer simulation of a mobile ad hoc communication system. With the increasing of the demand on channel capacity in modern communications, multiple-input Multiple-output (MIMO) mobile ad hoc networks have been receiving increasingly attention in both commercial and military applications. Just as in cellular networks, MIMO technology 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. Hence, it is of importance to understand the MIMO channel. However, one fundamental issue to MIMO mobile ad-hoc networks is how to accurately model the impact of spatial/temporal channel correlation in mobile-to-mobile communication environment. In such a channel, a line-of-sight (LOS) component and different scattering environments will affect both ergodic capacity and average capacity fade duration of the MIMO system. In this thesis, based on the correlated double-ring scattering model we have also suggest a sum-of-sinusoids MIMO mobile-to-mobile channel simulation method, which can characterize the spatial/temporal channel correlation and Rician fading effect. We investigate how often the MIMO capacity experience the fades and relate this to the Rician factor.