Title :
Dynamic simulation model of indoor wideband directional channels
Author :
Chen, Yifan ; Dubey, Vimal K.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
3/1/2006 12:00:00 AM
Abstract :
Culled from existing channel measurements, a dynamic indoor wideband directional-channel simulator is constructed by incorporating the spatial-temporal properties as well as the time-varying nature of propagation environments. A two-state semi-Markov model is used to account for the births and deaths of scattering clusters, which represents an improvement over the conventional Markov model where the duration in each state is forced to follow an exponential distribution. The spatial-temporal variations of clusters within their lifespan are modeled based on the real-life measurement results. The ranges of angle of arrival (AOA), angle of departure (AOD), and time of arrival (TOA) for each cluster are partitioned into finite number of intervals using the deterministic simulation methods. Subsequently, the cluster properties at different intervals can be derived from the empirical findings in previous channel-measurement campaigns. The efficacy of the proposed simulator is demonstrated by applying it to characterize a time-varying multiple-input multiple-output (MIMO) channel.
Keywords :
MIMO systems; Markov processes; broadband networks; direction-of-arrival estimation; indoor radio; time-of-arrival estimation; time-varying channels; wireless channels; TOA estimation; angle of arrival; angle of departure; deterministic simulation methods; exponential distribution; indoor wideband directional channel simulator; multiple-input multiple-output; real-life measurement; scattering clusters; spatial-temporal property; time of arrival; time varying MIMO channel; two-state semiMarkov model; Exponential distribution; Frequency; MIMO; Power system modeling; Scattering; Statistics; Transceivers; Vehicle dynamics; Wideband; Wireless networks; Dynamic wideband directional channels; frequency-dependent propagation channels; semi-Markov process;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2005.863414