Description:
![Graphical user interface, text, application
Description automatically generated](data:image/png;base64,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)
Reference #: 01615
The University of South Carolina is offering licensing opportunities for Methods and Procedures for Synchronization and Over-the-Air Computation
Background:
Over-the-air computation (OAC) reduces the communication latency that linearly increases with the number of devices in a wireless network for machine learning applications. Despite its merit, an OAC scheme may require the radios to start their transmissions synchronously with high accuracy, which can impose stringent requirements for the underlying mechanisms. On the other hand, when software-defined radios (SDRs) are used as radios for this application, synchronization is hard to maintain.
Invention Description:
The disclosed synchronization method and procedures enable an SDR-based network to realize OAC for machine-learning applications in a reliable way.
Potential Applications:
In a practical network, time synchronization can be maintained via an external timing reference such as the Global Positioning System (GPS), a triggering mechanism as in IEEE 802.11, or well-designed synchronization procedures over random-access and control channels as in cellular networks. However, while using a GPS-based solution can be costly and unsuitable for indoor applications, the implementations of trigger-based synchronization or some synchronization protocols may not be self-sufficient. This is because an entire baseband besides the synchronization blocks may need to be implemented as a hard-coded block to satisfy the timing constraints. On the other hand, when a software-defined radio (SDR) is used as an I/O peripheral connected to a companion computer (CC) for flexible baseband processing, the transmission/reception instants are subject to a large jitter due to the underlying protocols (e.g., USB, TCP/IP) for the communication between the CC and the SDR. Hence, it is not trivial to use SDRs to test an OAC scheme in practice. Also, the procedures for over-the-air computation are needed and it is not actually clear how it will work in a practical network. This invention addresses these challenges.
Advantages and Benefits:
The proposed synchronization method enables low-cost SDR to be time-synchronous without using GPS or some additional circuitry. The proposed procedures enable over-the-air computation in practice by describing the alignment, calibration, and computation signals. The market size is large as it is related to both commercial wireless and AI technologies. It could be useful for artificial intelligence technologies over wireless or sensor networks, 5G and beyond, 6G wireless standardization, IEEE 802.11 Wi-Fi. Also, Recently, IEEE 802.11 has formed a Topic Interest Group (TIG), where distributed learning over a wireless network has been mentioned.
![Graphical user interface, text, application
Description automatically generated](data:image/png;base64,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)
For licensing information contact:
Nikki Biagas, Licensing & Compliance Manager- bianik@sc.edu
UofSC Technology Commercialization Office- technology@sc.edu