Abstract
This article introduces an efficient analysis of indoor 4.5 GHz radio wave propagation by using a proposed three-dimensional (3-D) ray-tracing (RT) modeling and measurement. The attractive facilities of this frequency band have significantly increased in indoor radio wave communication systems. Radio propagation predictions by simulation method based on a site-specific model, such as RT is widely used to categorize radio wave channels. Although practical measurement provides accurate results, it still needs a considerable amount of resources. Hence, a computerized simulation tool would be a good solution to categorize the wireless channels. The simulation has been performed with an in-house developed software tool. Here, the 3-D shooting bouncing ray tracing (SBRT) and the proposed 3-D ray tracing simulation have been performed separately on a specific layout where the measurement is done. Several comparisons have been performed on the results of the measurement: the proposed method, and the existing SBRT method simulation with respect to received signal strength indication (RSSI) and path loss (PL). The comparative results demonstrate that the RSSI and the PL of proposed RT have better agreements with measurement than with those from the conventional SBRT outputs.
Highlights
Remarkable expansions in wireless communication systems (WCS) have been witnessed in the past few decades, including applications in indoor environments connected with personal communication and local area networks
The implementation of this concept in the proposed method significantly improved the received signal strength indication (RSSI) and path loss (PL)
Here,ififwe we consider consider the the more more similar average difference with measurement data below dB, receivers are found in the method and receivers are found measurement data below 5 dB, 9 receivers are found in the shooting bouncing ray tracing (SBRT) method and 10 receivers are found in the method
Summary
Remarkable expansions in wireless communication systems (WCS) have been witnessed in the past few decades, including applications in indoor environments connected with personal communication and local area networks. Radio-propagation using a simulation tool for the indoor environment based on RSSI and PL has become a significant research tool [5]. In [18], the RT technique for radio propagation prediction used neural networks at 2.4 GHz, with ray launching horizontal and vertical angular resolution (π/360), by considering a maximum number of reflections. There is no technique which completely satisfies the PL, RSSI, and the optimum number of rays launched for accurate propagation prediction, because of the trade-off correlation that exists among them. To maintain standard RSSI and PL, more rays are launched in the specific zone where an actual Rx is located The implementation of this concept in the proposed method significantly improved the RSSI and PL.
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