A Wideband Spatial Channel Model for System-Wide Simulations

Abstract

A wideband space-time channel model is defined, which captures the multiple dependencies and variability in multicell system-wide operating environments. The model provides a unified treatment of spatial and temporal parameters, giving their statistical description and dependencies across a large geographical area for three outdoor environments pertinent to third-generation cellular system simulations. Parameter values are drawn from a broad base of recently published wideband and multiple-antenna measurements. A methodology is given to generate fast-fading coefficients between a base station and a mobile user based on the summation of directional plane waves derived from the statistics of the space-time parameters. Extensions to the baseline channel model, such as polarized antennas, are given to provide a greater variety of spatial environments. Despite its comprehensive nature, the model's implementation complexity is reasonable so it can be used in simulating large-scale systems. Output statistics and capabilities are used to illustrate the main characteristics of the model. IEEE Transactions on Vehicular TechnologyThis work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Abstract-A wideband space-time channel model is defined, which captures the multiple dependencies and variability in multicell system-wide operating environments. The model provides a unified treatment of spatial and temporal parameters, giving their statistical description and dependencies across a large geographical area for three outdoor environments pertinent to thirdgeneration cellular system simulations. Parameter values are drawn from a broad base of recently published wideband and multiple-antenna measurements. A methodology is given to generate fast-fading coefficients between a base station and a mobile user based on the summation of directional plane waves derived from the statistics of the space-time parameters. Extensions to the baseline channel model, such as polarized antennas, are given to provide a greater variety of spatial environments. Despite its comprehensive nature, the model's implementation complexity is reasonable so it can be used in simulating large-scale systems. Output statistics and capacities are used to illustrate the main characteristics of the model.

Multi-Dimensional Radio Channel Measurement, Analysis and Modeling for High Frequency Bands

“…Therefore, to relax the computational complexity some modified MLEs have been implemented using iterative methods such as SAGE (space alternative generalized expectation maximization) algorithm [58], RIMAX (Richter maximum likelihood estimation) [59], etc. The recent standard approaches of channel modeling [5]- [9] are based on cluster rather than individual MPC for more physically meaningful stochastic channel representation, where the clusters are formed by grouping scatterers that generate MPCs with similar delays and directions. For cluster-level stochastic channel modeling, automatic clustering algorithms are often used to identify clusters from the extracted MPCs.…”

“…Currently existing standard channel models such as 3GPP (3rd generation partnership project)/3GPP2 spatial channel model (SCM) [5], and COST2100/IC1004 [6], [7] and WINNER/3GPP [8], [9] channel models, so called, geometry based stochastic channel models (GSCM), represent the propagation channels as a sum of clustered ray paths where each path has similar propagation properties. In particular, the WINNER model is widely accepted because of their scalability and reasonable complexity, however, the frequency range is specified only from 2 to 6 GHz.…”

Review of wideband MIMO channel measurement and modeling for IMT-Advanced systems

“…For GBSM, the delays, angles and complex gains of the multipath, which relate to the propagation geometry, are generated according to the corresponding statistical distributions. The COST 259 directional channel model (DCM) [47], COST 273 channel model [48], 3GPP SCM [45,49], SCM extended (SCME) [50], IEEE 802.11n channel model [51] and the WINNER channel model [52] all belong to GBSMs. For the non-geometry based stochastic models, the random parameters are generated according to the probability distribution functions without regarding any propagation geometry information.…”

Evolution Trends of Wireless MIMO Channel Modeling towards IMT-Advanced

“…Interested readers are referred to [32] and [68] for more comprehensive description and evaluation of the 3GPP/3GPP2 SCM.…”