A distributed simulation engine for cooperative multi-user MIMO enhanced wireless communications

This article addresses our concept for a highly dynamic scenario-based simulation platform for diverse wireless communication circumstance, which provides users high flexibility and ease for use to simulate complex wireless communication scenarios. It is observed that different simulation activities for wireless communication systems usually conduct a very similar processing flow. Due to this similarity the process flows could be segmented and categorized to several common tasks so that these common tasks can be easily re-used to speed up the development of new setups of simulations, such as different environment scenarios, different physical layer (PHY) parameters and even different PHY protocols, etc. However, this kind of segmentation reduces the efficiency of the computation due to the overheads of exchanging data among the tasks. To complement the loss of the computation efficiency, we structured a parallel and distributed simulation (PADS) engine to take advantage of the independence among the tasks and the high parallel computation power of the distributed computing platform (DCP).