A new method which establishes the relationship between the averaged rain intensity and the signal level measurements, as logged by standard network management systems.
Focusing on the output logs of Network management systems, the Invention answers two main challenges:
1. How to implement the standard monitoring of the network parameters (i.e., the microwave links ‘link-budget’ and ‘fading margin’), in an optimal way, by accurately calculating the link budget and minimizing the required fading margin.
2. How to use the standard network management systems actual signal level measurements to estimate the rain in an optimal way - Accurate rainfall monitoring.
The Invention, being Algorithms and methodology, results in a more effective network management system, both for network monitoring (which result in overall increased channel bandwidth), as well as for rain monitoring purposes. It can be used in any location on earth, taking advantage of only the already existing equipment and standard signal monitoring systems, without the need for pre-calibration or side information.
By Implementing with zero cost on current and future cellular networks one gains:
· Algorithm of a workflow which takes the standard available extreme quantized signal level measurements and produces the averaged rain intensity on the fly with minimal delay (minutes), without prior or side information.
· Methodology for monitoring wireless communication networks which result in more accurate representation of disturbances of the signal (e.g., due to rain).
o Incorporating as part of SDN (software defined network) for microwave (B2B - HW Implementation)
§ Optimization of the real-time resource (bandwidth) allocation
§ Flagging of too high or too low fading margin, and allowing for tighter channel constraints (which can potentially reduce the equipment and maintenance costs).
§ Accumulating more accurate data to support better predictive analytics
o Accurate rainfall monitoring, weather data as commodity - supporting:
§ Stock exchange and online marketplaces
§ Ground Transportation & Logistics - Avoid Dangerous Weather hazard, affects transportation, grocery and product delivery networks
§ Air traffic control - New source for accuracy critical vertical
§ Insurance - Making better more informed weather risk assessments
§ Emergency Management - Supporting critical decision before and during events
§ B2B2C - data available to end consumers via multiple platforms, supporting activities such as: Buying a house, Sport events, Trip planning, Etc.
§ Smarter Personalized Advertising and Retail recommendations - accommodating user specific precipitation data with street level accuracy
o Higher Efficiency and performance - overall increased channel bandwidth
o Higher Accuracy
o Bi-directional monitoring capabilities
o No added sunk cost regarding infrastructure - Using existing network
o No Side Information needed
o No pre-calibration
Patent Information: Ostrometzky Jonathan, Meser-Yaron Hagit, RELATING RAIN INTENSITY AND DYNAMIC RANGE IN COMMERCIAL MICROWAVE LINKS, US provisional patent application no. 62/544953.
· Ostrometzky J., Messer H., “Dynamic Determination of the Baseline Level in Microwave Links for Rain Monitoring From Minimum Attenuation Values”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. In Print.
· Ostrometzky J., Messer H., “Commercial Microwave Link as a Stand-Alone Rain Gauge: Proof of Concept”, In preparation.
· Ostrometzky, J., Eshel, A., Alpert, P., & Messer, H. (2017, March). Induced bias in attenuation measurements taken from commercial microwave links. In Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on (pp. 3744-3748). IEEE.
· Ostrometzky, J., & Messer, H. (2017). Comparison of Different Methodologies of Parameter-Estimation From Extreme Values. IEEE Signal Processing Letters, 24(9), 1293-1297.
Example of the interaction of the rain with the cellular backhaul:
(1) The operational commercial microwave links.
(2) The network is disturbed by a local rain event.
(3) The network is disturbed by a broad rain event.
Our technology will help by improving design and management of network resources - which, in turn, will increase the overall QoS level at no additional cost.