Project: Large Scale UMTS Location Based Service
THE PROBLEM_x000D_CDMA (Code Division Multiple Access) is demodulation method that hides the data transmitted below the noise level; as a result, the transmission is not visible for an outside observer and looks like a white noise. 3G cellular networks such as UMTS are using CDMA demodulation. Therefore, it is not possible to detect transmissions using a simple passive receiver (in contrary for 2G GSM networks). _x000D_From commercial perspective, the capability to detect and locate mobile devices passively has high value, this data can be used for anonymous demographic profiling, provision of location based services without dependency on a specific operator as well as the provisioning of special applications such as security of critical infrastructure and public safety. _x000D__x000D_THE INNOVATIVE SOLUTION_x000D_Our solution is based on weakness on the UMTS encryption system, which requires the base station to transmit the encryption code to the mobile phone as part of the initialization phase. At this stage, each receiver that knows the encryption code of the base station can extract the unique code that is transmitted to any mobile phone that is trying to connect to the base station. _x000D_By creating a list of codes, it is possible to listen to the uplink control channel of the mobile device and ex-tract messages related to devices that had been connected to the base station. _x000D_By using multiple receivers and by measuring in very high accuracy the timing of each message, it is possi-ble to perform triangulation (using method known Differential Time of Arrival or DTOA) and located the mobile phone in accuracy of up to 3-5 meters (which is equal to GPS accuracy): this accuracy is almost 10 times better than the cellular network location accuracy due to the fact our proposed system utilizes more receivers to detect the mobile phone compared to regular cellular network infrastructure._x000D__x000D_EXPECTED RESULTS AND MARKETS ADDRESSED_x000D_Combining the expertise and experience of DFRC, IMA and Red Ninja, this 2-yearsproject has the objective of designing and deploying a city-wide scale alternative infrastructure for cellular networks that will be able to provide value added services at very competitive costs. _x000D_The expected technical results are: _x000D_RESULT 1: Dual receivers’ system that is able to detect UMTS transmission of a given base station_x000D_RESULT 2: 5 receivers’ system that is able to located UMTS mobile phones in accuracy of 3-5 meters_x000D_RESULT 3: Backbone system that will allow the connection of large number of receivers in order to provide a city wide coverage including provision of value added service_x000D__x000D_Using the LSU prototype, the following applications will be developed and tested in use cases: _x000D_RESULT 4: Security application including large crowd monitoring and security and university campus (out-door). _x000D_RESULT 5: Smart city application, focused on traffic information in urban areas and as a tool for city plan-ning. _x000D_RESULT 6: Location based coupons – based on LSU high accuracy location system. _x000D__x000D_From marketing perspective, our goal is to address the following markets: _x000D_1. Entry level market COly large commercial sites, airports, tourist attractions and large events that are interested in basic analytic activity patterns such as number of visitors over time, including the analysis of the country of origin of the mobile devices (this information is extracted from the signalling message of roaming mobile phones)_x000D_2. Critical infrastructures – that are interested in detection of unauthorized mobile phones within the site or in the outer perimeter areas._x000D_3. Crowd management applications – including estimation of the size of the crowd and analysis of the crowd behaviour based on aggregation of individual movements within the crowd._x000D_4. Smart city applications such as traffic analysis and specifically analysis of urban traffic, which cannot be analysed by cellular networks data due to the insufficient accuracy of existing systems._x000D_5. Location based systems applications such as coupons and location based advertisement that can use a single platform that will fit all mobile operators.
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Acronym
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LSU
(Reference Number: 8221)
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Duration
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02/09/2013 - 31/08/2015
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Project Topic
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LSU, using Software Defined Radio, will develop, test and deploy a city-wide infrastructure for Location Based value added Service that works concurrently with existing cellular networks at a fraction of the cost of a cellular network.
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Network
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Eurostars
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Call
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Eurostars Cut-Off 10
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Project partner
