Welcome!

News Feed Item

Rivada Networks Releases Full Text of Location-Based Services Patent

The U.S. Patent and Trademark Office today issued patent #8,787,944, Method and System for Providing Enhanced Location Based Information for Wireless Handsets, to Rivada Networks. As previously announced, Rivada’s latest patent allows nearby mobile devices to triangulate off each other, taking advantage of modern devices’ accelerometers and other means to determine relative location and movement, independent of the availability of a device’s main network. According to Rivada CTO Clint Smith, “This breakthrough technology could be implemented as an application on many existing mobile devices.”

Here follows the full text of the patent’s 39 claims:

1. A method of determining a location of a mobile device, comprising:

determining an approximate location of the mobile device;

grouping the mobile device with a wireless transceiver in proximity to the mobile device to form a communication group;

sending the determined approximate location of the mobile device to the wireless transceiver;

receiving on the mobile device location information from the wireless transceiver; and

determining a more precise location of the mobile device based on the location information received from the wireless transceiver.

2. The method of claim 1, wherein:

grouping the mobile device with a wireless transceiver in proximity to the mobile device to form a communication group comprises grouping the mobile device with a plurality of wireless transceivers in proximity to the mobile device to form the communication group; and

receiving on the mobile device location information from the wireless transceiver comprises receiving on the mobile device location information from the plurality of wireless transceivers in the communication group.

3. The method of claim 1, wherein grouping the mobile device with a wireless transceiver in proximity to the mobile device comprises grouping the mobile device with a second mobile device.

4. The method of claim 1, wherein receiving location information on the mobile device from the wireless transceiver comprises receiving a latitude coordinate, a longitude coordinate, and an altitude coordinate.

5. The method of claim 1, further comprising:

sending information relating to the determined more precise location of the mobile device and the received location information to a server;

receiving updated location information on the mobile device from the server; and

re-computing the more precise location of the mobile device based on the updated location information received from the server.

6. The method of claim 5, wherein sending information relating to the determined more precise location of the mobile device and the received location information to a server comprises sending information to the server out of band.

7. The method of claim 5, wherein sending information relating to the determined more precise location of the mobile device and the received location information to a server comprises sending sensor information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

8. The method of claim 1, further comprising:

detecting movement of the mobile device; and

re-computing the approximate location of the mobile device in response to detecting the movement.

9. The method of claim 1, wherein:

the mobile device is connected to a first telecommunication network and the wireless transceiver is connected to a second telecommunication network; and

sending the determined approximate location of the mobile device to the wireless transceiver comprises the mobile device establishing a near field communication link to the wireless transceiver and the mobile device sending the determined approximate location of the mobile device to the wireless transceiver over the established near field communication link.

10. The method of claim 1, wherein receiving on the mobile device location information from the wireless transceiver comprises receiving on the mobile device sensor information collected from a sensor of the wireless transceiver.

11. The method of claim 10, wherein receiving on the mobile device sensor information collected from a sensor of the wireless transceiver comprises receiving sensor information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

12. The method of claim 1, wherein determining an approximate location of the mobile device comprises determining the approximate location of the mobile device based on information collected from sensors of the mobile device.

13. The method of claim 12, wherein determining the approximate location of the mobile device based on information collected from sensors of the mobile device comprises determining the approximate location of the mobile device based on information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

14. A mobile device, comprising:

a memory; and

a processor coupled to the memory, wherein the processor is configured with processor-executable instructions to perform operations comprising:

determining an approximate location of the mobile device;

grouping with a wireless transceiver in proximity to the mobile device to form a communication group;

sending the determined approximate location of the mobile device to the wireless transceiver;

receiving location information from the wireless transceiver; and

determining a more precise location of the mobile device based on the location information received from the wireless transceiver.

15. The mobile device of claim 14, wherein the processor is configured with processor-executable instructions to perform operations such that:

grouping with a wireless transceiver in proximity to the mobile device to form a communication group comprises grouping the mobile device with a plurality of wireless transceivers in proximity to the mobile device to form the communication group; and

receiving location information from the wireless transceiver comprises receiving location information from the plurality of wireless transceivers in the communication group.

16. The mobile device of claim 14, wherein the processor is configured with processor-executable instructions to perform operations such that grouping with a wireless transceiver in proximity to the mobile device comprises grouping with a second mobile device.

17. (Original) The mobile device of claim 14, wherein the processor is configured with processor-executable instructions to perform operations such that receiving location information from the wireless transceiver comprises receiving a latitude coordinate, a longitude coordinate, and an altitude coordinate.

18. The mobile device of claim 14, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

sending information relating to the determined more precise location of the mobile device and the received location information to a server;

receiving updated location information from the server; and

re-computing the more precise location of the mobile device based on the updated location information received from the server.

19. The mobile device of claim 18, wherein the processor is configured with processor-executable instructions to perform operations such that sending information relating to the determined more precise location of the mobile device and the received location information to a server comprises sending information to the server out of band.

20. The mobile device of claim 18, wherein the processor is configured with processor-executable instructions to perform operations such that sending information relating to the determined more precise location of the mobile device and the received location information to a server comprises sending sensor information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

21. The mobile device of claim 14, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

detecting movement of the mobile device; and

re-computing the approximate location of the mobile device in response to detecting the movement.

22. The mobile device of claim 14, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

establishing a connection to a first telecommunication network; and

establishing a near field communication link to the wireless transceiver, the wireless transceiver being connected to a second telecommunication network, and wherein the processor is configured with processor-executable instructions such that sending the determined approximate location of the mobile device to the wireless transceiver comprises sending the determined approximate location of the mobile device to the wireless transceiver over the near field communication link.

23. The mobile device of claim 14, wherein the processor is configured with processor-executable instructions to perform operations such that receiving location information from the wireless transceiver comprises receiving sensor information collected from a sensor of the wireless transceiver.

24. The mobile device of claim 23, wherein the processor is configured with processor-executable instructions to perform operations such that receiving sensor information collected from a sensor of the wireless transceiver comprises receiving sensor information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

25. The mobile device of claim 14, wherein the processor is configured with processor-executable instructions to perform operations such that determining an approximate location of the mobile device comprises determining the approximate location of the mobile device based on information collected from sensors of the mobile device.

26. The mobile device of claim 25, wherein the processor is configured with processor-executable instructions to perform operations such that determining the approximate location of the mobile device based on information collected from sensors of the mobile device comprises determining the approximate location of the mobile device based on information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

27. A non-transitory computer readable storage medium having stored thereon processor-executable software instructions configured to cause a processor of a mobile device to perform operations comprising:

determining an approximate location of the mobile device;

grouping the mobile device with a wireless transceiver in proximity to the mobile device to form a communication group;

sending the determined approximate location of the mobile device to the wireless transceiver;

receiving location information from the wireless transceiver; and

determining a more precise location of the mobile device based on the location information received from the wireless transceiver.

28. The non-transitory computer readable storage medium of claim 27, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that:

grouping the mobile device with a wireless transceiver in proximity to the mobile device to form a communication group comprises grouping the mobile device with a plurality of wireless transceivers in proximity to the mobile device to form the communication group; and

receiving location information from the wireless transceiver comprises receiving location information from the plurality of wireless transceivers in the communication group.

29. The non-transitory computer readable storage medium of claim 27, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that grouping with a wireless transceiver in proximity to the mobile device comprises grouping with a second mobile device.

30. The non-transitory computer readable storage medium of claim 27, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that receiving location information from the wireless transceiver comprises receiving a latitude coordinate, a longitude coordinate, and an altitude coordinate.

31. The non-transitory computer readable storage medium of claim 27, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations further comprising:

sending information relating to the determined more precise location of the mobile device and the received location information to a server;

receiving updated location information from the server; and

re-computing the more precise location of the mobile device based on the updated location information received from the server.

32. The non-transitory computer readable storage medium of claim 31, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that sending information relating to the determined more precise location of the mobile device and the received location information to a server comprises sending information to the server out of band.

33. The non-transitory computer readable storage medium of claim 31, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that sending information relating to the determined more precise location of the mobile device and the received location information to a server comprises sending sensor information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

34. The non-transitory computer readable storage medium of claim 27, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations further comprising:

detecting movement of the mobile device; and

re-computing the approximate location of the mobile device in response to detecting the movement.

35. The non-transitory computer readable storage medium of claim 27, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations further comprising:

establishing a connection to a first telecommunication network; and

establishing a near field communication link to the wireless transceiver, the wireless transceiver being connected to a second telecommunication network, and wherein the stored processor-executable software instructions are configured to cause a processor to perform operations such that sending the determined approximate location of the mobile device to the wireless transceiver comprises sending the determined approximate location of the mobile device to the wireless transceiver over the near field communication link.

36. The non-transitory computer readable storage medium of claim 27, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that receiving location information from the wireless transceiver comprises receiving sensor information collected from a sensor of the wireless transceiver.

37. The non-transitory computer readable storage medium of claim 36, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that receiving sensor information collected from a sensor of the wireless transceiver comprises receiving sensor information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

38. The non-transitory computer readable storage medium of claim 27, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that determining an approximate location of the mobile device comprises determining the approximate location of the mobile device based on information collected from sensors of the mobile device.

39. The non-transitory computer readable storage medium of claim 38, wherein the stored processor-executable software instructions are configured to cause a processor of a mobile device to perform operations such that determining the approximate location of the mobile device based on information collected from sensors of the mobile device comprises determining the approximate location of the mobile device based on information collected from at least one of:

an accelerometer;

a gyroscope;

a magnetometer; and

a pressure sensor.

About Rivada Networks

Rivada Networks is a leading designer, integrator and operator of wireless, interoperable public safety communications networks. Rivada’s core technology, Dynamic Spectrum Arbitrage Tiered Priority Access (DSATPA), allows wireless broadband capacity to be dynamically bought and sold in a fully competitive “on demand” process to competing commercial entities. DSATPA is a game changer for the way in which spectrum is consumed, maximizing the efficiency of the radio spectrum bandwidth resource and unlocking the potential for more extensive high capacity broadband networks.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
SYS-CON Events announced today that Bsquare has been named “Silver Sponsor” of SYS-CON's @ThingsExpo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. For more than two decades, Bsquare has helped its customers extract business value from a broad array of physical assets by making them intelligent, connecting them, and using the data they generate to optimize business processes.
SYS-CON Events announced today that Commvault, a global leader in enterprise data protection and information management, has been named “Bronze Sponsor” of SYS-CON's 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Commvault is a leading provider of data protection and information management solutions, helping companies worldwide activate their data to drive more value and business insight and to transform moder...
DevOps at Cloud Expo – being held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises – and delivering real results. Am...
Almost two-thirds of companies either have or soon will have IoT as the backbone of their business in 2016. However, IoT is far more complex than most firms expected. How can you not get trapped in the pitfalls? In his session at @ThingsExpo, Tony Shan, a renowned visionary and thought leader, will introduce a holistic method of IoTification, which is the process of IoTifying the existing technology and business models to adopt and leverage IoT. He will drill down to the components in this fra...
The vision of a connected smart home is becoming reality with the application of integrated wireless technologies in devices and appliances. The use of standardized and TCP/IP networked wireless technologies in line-powered and battery operated sensors and controls has led to the adoption of radios in the 2.4GHz band, including Wi-Fi, BT/BLE and 802.15.4 applied ZigBee and Thread. This is driving the need for robust wireless coexistence for multiple radios to ensure throughput performance and th...
SYS-CON Events announced today that Pulzze Systems will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Pulzze Systems, Inc. provides infrastructure products for the Internet of Things to enable any connected device and system to carry out matched operations without programming. For more information, visit http://www.pulzzesystems.com.
SYS-CON Events announced today the Kubernetes and Google Container Engine Workshop, being held November 3, 2016, in conjunction with @DevOpsSummit at 19th Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA. This workshop led by Sebastian Scheele introduces participants to Kubernetes and Google Container Engine (GKE). Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn the key concepts and practices for deploying and maintainin...
Enterprise IT has been in the era of Hybrid Cloud for some time now. But it seems most conversations about Hybrid are focused on integrating AWS, Microsoft Azure, or Google ECM into existing on-premises systems. Where is all the Private Cloud? What do technology providers need to do to make their offerings more compelling? How should enterprise IT executives and buyers define their focus, needs, and roadmap, and communicate that clearly to the providers?
SYS-CON Events announced today that SoftLayer, an IBM Company, has been named “Gold Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer’s customers range from Web startups to global enterprises.
There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. Big Data at Cloud Expo - to be held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA - has announced its Call for Papers is open. Cloud computing is being adopted in one form or another by 94% of enterprises today. Tens of billions of new devices are being connected to The Internet of Things. And Big Data is driving this bus. An exponential increase is...
Digital innovation is the next big wave of business transformation based on digital technologies of which IoT and Big Data are key components, For example: Business boundary innovation is a challenge to excavate third-party business value using IoT and BigData, like Nest Business structure innovation may propose re-building business structure from scratch, as Uber does in the taxicab industry The social model innovation is also a big challenge to the new social architecture with the design fr...
DevOps at Cloud Expo, taking place Nov 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 19th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long dev...
Data is an unusual currency; it is not restricted by the same transactional limitations as money or people. In fact, the more that you leverage your data across multiple business use cases, the more valuable it becomes to the organization. And the same can be said about the organization’s analytics. In his session at 19th Cloud Expo, Bill Schmarzo, CTO for the Big Data Practice at EMC, will introduce a methodology for capturing, enriching and sharing data (and analytics) across the organizati...
IoT is fundamentally transforming the auto industry, turning the vehicle into a hub for connected services, including safety, infotainment and usage-based insurance. Auto manufacturers – and businesses across all verticals – have built an entire ecosystem around the Connected Car, creating new customer touch points and revenue streams. In his session at @ThingsExpo, Macario Namie, Head of IoT Strategy at Cisco Jasper, will share real-world examples of how IoT transforms the car from a static p...
The many IoT deployments around the world are busy integrating smart devices and sensors into their enterprise IT infrastructures. Yet all of this technology – and there are an amazing number of choices – is of no use without the software to gather, communicate, and analyze the new data flows. Without software, there is no IT. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will look at the protocols that communicate data and the emerging data analy...