NICOP - Real-Time Precision Propagation Modeling for Mobile Ad-hoc Networks and Cognitive Radio via Radio Tomographic Imaging
Abstract
Trinity College Dublin, Ireland, the U. S. Naval Academy and the U.S. Air Force Institute ofTechnology plan to develop and demonstr""ate a reliable, robust, real-time propagation measurementand modeling system based on Radio Tomographic Imaging (RTI). Our work wil"l result in softwareenhancements to wireless sensor or peer-to-peer communication nodes that will enable them tooperate via Dynamic Spectrum Access (DSA) (opportunistic access to the radio spectrum) withoutcausing unwanted interference to licensed users.There is currently a worldwide explosion in the demand for bandwidth among civilian users. Tomeet this demand there is an urgent need to develop and embrace radio communicationstechnologies that address this need. DSA is an attractive solution but needs to be developed to thepoint that these networks can operate with a high degree of QoS and that incumbents and regulatorsare satisfied that there will be little interference from DSA capable devices.In the following respects respects the relevance to the US Naval and/ or Marine Corp Science &Technology Strategic Plan is in Information Dominance. Of particular interest to DSAcommunication systems is the report released by the US President s Council of Advisors on Scienceand Technology (PCAST) which recommended sharing of up to 1 GHz of federal government radiospectrum with non-government entities. It is expected that more countries will follow suit as DSAtechnology gains acceptance.Our proposed system will utilize the received signal strength measurements from nodes operating inany environment~in conjunction with advanced signal processing techniques~to estimate thepropagation loss map of the environment in which t"he system is operating, even without a prioriknowledge of the physical environment. The purpose is to protect military and other go"vernmentoperators~ wireless communications from unwanted interference from DSA activity as we movetowards spectrum sharing and to provide for reliable MANET communications for the emergencyservices in the event of major catastrophe/terrorist attack.A very imp"ortant advancement in radio propagation studies is being proposed here. As present,predicting the radio signal accurately and relia""bly can be very difficult, especially in clutteredenvironments. From our proposed propagation map, contours of the received signal"" strength for anarbitrarily located transmitter can be rapidly and accurately calculated, enhancing the ability ofMANETS and Cogni""tive Radio (CR) networks to operate, by way of DSA, in highly complexenvironments, environments with significant clutter losses and"" adjust transmission power to ensureadequate received SNR, use signal strength to estimate emitter locations and predict interferen""celevels in coexistence scenarios. Additionally, the propagation prediction system will be able toadapt and update its models in r"eal-time under conditions where nodes or other objects in theenvironment are highly mobile. Our system will be easy and quick to in"stall, potentially as simpleas a software load on an existing wireless sensor or communication node. A variety of scenarioswill be" investigated both in simulation and via experimentation to evaluate the efficacy of theproposed propagation measurement and modeli"ng system.Our mission is to design, develop, implement, and demonstrate an RTI network that will providehigh-fidelity, real-time m"apping and predictions of the radio-frequency propagation environment.Our vision is that this network could exist as a software loa"d on handheld radios, will readily adaptto changing propagation conditions and will provide accurate propagation data even when ope"ratingwith a small number of devices. These systems would relay relevant propagation information to aSpectrum Access Server (SAS)" or to each other and thus coordinate communications among avariety of assets, including civialian use and the emergency/law enforc""ement, to provide enhancedspectrum efficiency. In essence wha
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 03, 2017
- Source ID
- N629091712163
Entities
People
- Eamonn O Nuallain
Organizations
- Office of Naval Research
- Trinity College Dublin
- United States Navy