Estimating cellular network performance during hurricanes

Cellular networks serve a critical role during and immediately after a hurricane, allowing citizens to contact emergency services when land-line communication is lost and serving as a backup communication channel for emergency responders. However, due to their ubiquitous deployment and limited design for extreme loading events, basic network elements, such as cellular towers and antennas are prone to failures during adverse weather conditions such as hurricanes. Accordingly, a systematic and computationally feasible approach is required for assessing and improving the reliability of cellular networks during hurricanes. In this paper we develop a new multi-disciplinary approach to efficiently and accurately assess cellular network reliability during hurricanes. We show how the performance of a cellular network during and immediately after future hurricanes can be estimated based on a combination of hurricane wind field models, structural reliability analysis, Monte Carlo simulation, and cellular network models and simulation tools. We then demonstrate the use of this approach for assessing the improvement in system reliability that can be achieved with discrete topological changes in the system. Our results suggest that adding redundancy, particularly through a mesh topology or through the addition of an optical fiber ring around the perimeter of the system can be an effective way to significantly increase the reliability of some cellular systems during hurricanes.

[1]  Kulwinder S. Banipal,et al.  Strategic approach to disaster management: lessons learned from Hurricane Katrina , 2006 .

[2]  H. J. Dagher Reliability of poles in NESC grade C construction , 2001, 2001 Rural Electric Power Conference. Papers Presented at the 45th Annual Conference (Cat. No.01CH37214).

[3]  P. N. Georgiou,et al.  Design Wind Speeds In Tropical Cyclone-prone Regions , 1985 .

[4]  Lawrence A. Twisdale,et al.  Wind-Field and Filling Models for Hurricane Wind-Speed Predictions , 1995 .

[5]  Rachel A. Davidson,et al.  Electric Power Distribution System Performance in Carolina Hurricanes , 2003 .

[6]  Louise K. Comfort,et al.  Communication, Coherence, and Collective Action , 2006 .

[7]  Teresa A. Dahlberg,et al.  Survivability Analysis for Mobile Cellular Networks , 2005 .

[8]  Robert E. Melchers,et al.  Structural Reliability: Analysis and Prediction , 1987 .

[9]  Upkar Varshney,et al.  Reliability and Survivability of Wireless and Mobile Networks , 2000, Computer.

[10]  James R. Goodman,et al.  Reliability-Based Design of Wood Transmission Line Structures , 1983 .

[11]  Jery R. Stedinger,et al.  Negative Binomial Regression of Electric Power Outages in Hurricanes , 2005 .

[12]  Seth D. Guikema,et al.  Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region , 2009, Reliab. Eng. Syst. Saf..

[13]  Zhigang Huang,et al.  Hurricane simulation techniques for the evaluation of wind-speeds and expected insurance losses , 2001 .