Hakan Inanoglu

Multiple-Input Multiple-Output System Capacity: Antenna and Propagation Aspects

This tutorial aims to review some of the system and measurement work done at Qualcomm related to multiple-input-multiple-output (MIMO) systems around the 2000–2005 timeframe. During the same period, Qualcomm was actively involved in the development of the MIMO technology adopted by IEEE 802.11n. In this tutorial, we show the spectral efficiency and physical-layer (PHY) data rates that can be reached with Qualcomms MIMO technology using practical 8 × 8 and 16 × 16 antenna arrays mounted on a laptop. The results are based on measurements performed in Qualcomms New England offices. We show that very high data rates can be achieved for an office deployment. The results were compared with the simulated results obtained with IEEE802.11n MIMO channel models, and a good match was observed with channel model E.

Results from MIMO channel measurements

Statistics and system performance results derived from the outdoor measurements performed with a true multiple-input-multiple-output (MIMO) wideband channel measurement system are presented. These results are applicable to the MIMO channel modeling particularly for a model with paths at different time delays (tapped-delay line model) and an associated correlation matrix for each time delay.

Ray based modelling of indoor channels for capacity evaluation

An image based ray-tracing approach is utilized to predict the capacity of a multiple input multiple output (MIMO) indoor wireless communication system. The results are compared to measured capacity and path loss values. The sensitivity of the spectrum efficiency estimation to physical propagation parameters such as electric permeability and conductivity of the transmission and reflection walls is demonstrated.