Millimeter wave Propagation Measurments in Forest for 5G Wireless Sensor Communications

This research work aims to address the millimeter wave characterization in forest environments for high data rate 5G wireless sensor applications. The excess attenuation due to foliage depth at Short-range in forest areas at expected 5G frequencies is investigated. Different foliage models are presented and are optimized from the acquired values from different site measurements at expected 5G frequencies which could provide a valuable information for the high data rate WSN planners at 5G frequencies. The results shows that at 15 GHz frequency the attenuation predicted by the NZG model is closer with the acquired values with an average standard deviation of 7.2 dB and at frequencies such as 28GHz and 38 GHz FITU-R gives the best fit at both In-leaf and out-of-leaf scenarios. The average standard deviation at these frequencies is observed to be 12.74 dB and 16.45 dB. The attenuation experienced due to foliage was higher in In-leaf scenario than that of out-of-leaf at all the 5G frequencies.