Micron technology, inc. (20240231951). SHADOW COMPUTATIONS IN BASE STATIONS simplified abstract
Contents
- 1 SHADOW COMPUTATIONS IN BASE STATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SHADOW COMPUTATIONS IN BASE STATIONS - A simplified explanation of the abstract
- 1.4 Potential Applications
- 1.5 Problems Solved
- 1.6 Benefits
- 1.7 Commercial Applications
- 1.8 Prior Art
- 1.9 Frequently Updated Research
- 1.10 Questions about Shadow Computations
- 1.11 Original Abstract Submitted
SHADOW COMPUTATIONS IN BASE STATIONS
Organization Name
Inventor(s)
Dmitri Yudanov of Sacramento CA (US)
SHADOW COMPUTATIONS IN BASE STATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240231951 titled 'SHADOW COMPUTATIONS IN BASE STATIONS
The abstract describes systems and methods for implementing shadow computations in base stations, specifically for mobile devices. The base station initiates a shadow computation of a main computation executing on the mobile device, which can be a computational task. The shadow computation is at least a part of or a derivative of the main computation, and it is executed by the base station.
- Shadow computations in base stations for mobile devices
- Initiating shadow computations as derivatives of main computations
- Execution of shadow computations by base stations
- Enhancing computational tasks for mobile devices
- Improving efficiency and performance of mobile device computations
Potential Applications
The technology can be applied in various industries such as telecommunications, IoT, and edge computing where real-time processing and optimization of computational tasks are crucial.
Problems Solved
This technology addresses the challenges of offloading computational tasks from mobile devices to base stations, improving overall performance, reducing latency, and optimizing resource utilization.
Benefits
- Enhanced computational capabilities for mobile devices - Reduced latency and improved performance - Efficient resource management - Real-time processing and optimization of tasks - Enhanced user experience
Commercial Applications
Title: "Enhancing Mobile Device Performance with Shadow Computations" This technology can be commercially used in telecommunications networks, IoT devices, edge computing systems, and cloud services to optimize computational tasks and improve overall system performance.
Prior Art
Further research can be conducted on prior art related to offloading computational tasks from mobile devices to base stations, edge computing technologies, and optimization techniques for real-time processing.
Frequently Updated Research
Stay updated on advancements in edge computing, mobile device optimization, and real-time processing technologies to enhance the efficiency and performance of computational tasks in various industries.
Questions about Shadow Computations
How do shadow computations improve the performance of mobile devices?
Shadow computations offload computational tasks from mobile devices to base stations, reducing the workload on the device and improving overall performance.
What are the potential challenges of implementing shadow computations in base stations?
Some challenges may include ensuring seamless integration with existing systems, optimizing resource allocation, and minimizing latency in executing shadow computations.
Original Abstract Submitted
systems and methods for implementing shadow computations in base stations. the systems and methods can include a method including initiating, at a base station (such as a cellular base station), a shadow computation of a main computation executing for a mobile device. the main computation can include a computational task, and the shadow computation can be at least a part of or a derivative of the main computation. the method can also include executing, by the base station, the shadow computation.
