Analysis and improvement of indoor multiple-input-multiple-output path loss prediction model for 2.4-Ghz 802.11n network

摘要

In telecommunication systems, indoor propagation models have been addressed by many researchers in different approaches for signal prediction purposes. However, the use of those models is limited at different environments and conditions. Enhancement of the models is needed since the environment and mobile technologies are increasing drastically and need to suit the current generation and satisfy mobile users. The 802.11n network features multiple-input-multiple- output, which is not presented in any previous wireless local area network standards; it is considered imperative to figure out a suitable prediction model for the 802.11n network. In this article, development of indoor path loss prediction model for the IEEE 802.11n network at 2.4 GHz is presented. The work based on simulation and measurement. Validation of the developed model has been tested at different office buildings, and it showed good accuracy and consistency with a mean error of 2.21 dB and a standard deviation of 2.02 dB. This new model is found to be suitable for predicting indoor signal loss in an 802.11n wireless local area network system and is useful for telecommunication providers to improve their service for better capacity and mobile user satisfaction.