IEEE (Worcester County) Seminar: Large Scale Spectrum Optimization for Land Mobile Wireless Networks

Thursday, October 05, 2017
4:00 pm
Floor/Room #: 
SL 406

Speaker:

Sean O'Hara

Director - EW and Multi-function RF Technologies, SRC Inc.

Abstract:
Radio frequency (RF) spectrum, especially spectrum in bands that support reliable communications over large areas, is one of our most valuable resources. It cannot be created - it can only be shared and reused. Its monetary value is ever-increasing due to it being the raw fuel required to drive the ever-growing consumer appetite for mobile wireless services. This presentation will review an approach to optimizing spectrum resources across large scale point-to-point and point-to-multi-point wireless networks. The presentation will walk through an approach that leverages both complex coverage and interference modeling, and combination optimization methods. The process followed will identify, procure, and distribute spectrum resources across the network, with a goal of maximizing overall network coverage reliability. The presentation will utilize examples from several actual cases where the techniques were applied to optimize spectrum resources across networks; with coverage areas spanning from large states to the entire United States.

Biography:
Mr. O'Hara serves as the Director of Electronic Warfare and Multi-Function RF Technologies at SRC, and has over 20 years of experience in the development and deployment of complex RF systems for the defense, intelligence, and first responded communities. While at SRC he has previously served as the Co-Chair of the Cognitive Radio Working group of Software Defined Radio Forum, and was an active participant in the development of much of the IEEE 802.11 standards development and regulatory efforts. Mr. O'Hara led the development and release of the National 700 MHz Public Safety Pool spectrum plan, and was a key contributor in shaping the FCC Rules regarding of the use of the 4.9 GHz Public Safety allocation. His current focus area is in the continued integration and transition of machine learning, artificial intelligence, and autonomous agent technologies into RF domain to support integrated warfighter mission operations; such as electronic warfare, cyber, intelligence, and communications.