MIMO propagation scenario discrimination for adaptive wireless communication systems

Recently, multiple-input multiple-output (MIMO) technologies are adopted to wireless communication systems for high-speed, large capacity and high reliability communications. However, there can be variations of communication quality and throughput performance, because MIMO technologies depend on propagation channel environments, where communication property widely changes. An optimal wireless communication systems design which adaptively changes transmission systems depending on channel propagation is effective to realize stable wireless communications therefore, it is important that a transceiver knows propagation environment accurately. In this paper, we propose a new discrimination method for MIMO propagation scenarios by using channel state information (CSI), where azimuth spread (AS) and K-Factor estimation are considered. In addition, we evaluate discrimination performance by simulation, and then we get a discrimination result of high accuracy.