18407873. METHODS AND SYSTEMS FOR OPTIMIZING ACQUISITION TIME AND POWER CONSUMPTION AT A USER EQUIPMENT simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 METHODS AND SYSTEMS FOR OPTIMIZING ACQUISITION TIME AND POWER CONSUMPTION AT A USER EQUIPMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS AND SYSTEMS FOR OPTIMIZING ACQUISITION TIME AND POWER CONSUMPTION AT A USER EQUIPMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Network Optimization
- 1.13 Original Abstract Submitted
METHODS AND SYSTEMS FOR OPTIMIZING ACQUISITION TIME AND POWER CONSUMPTION AT A USER EQUIPMENT
Organization Name
Inventor(s)
Akshita Johri of Bangalore (IN)
Gaorav Kumar Gupta of Bangalore (IN)
Pratibha K Satyaganapati of Bangalore (IN)
METHODS AND SYSTEMS FOR OPTIMIZING ACQUISITION TIME AND POWER CONSUMPTION AT A USER EQUIPMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18407873 titled 'METHODS AND SYSTEMS FOR OPTIMIZING ACQUISITION TIME AND POWER CONSUMPTION AT A USER EQUIPMENT
Simplified Explanation
The patent application describes a method and system for optimizing acquisition time and power consumption at a user equipment (UE) by determining whether to perform a search for a higher priority public land mobile network (PLMN) based on the distance between the initial location and the current location of the UE.
- Establish RRC connection with NTN-based PLMN
- Determine current location of UE
- Decide whether to perform PLMN search based on distance between initial and current location
- Perform PLMN search if distance exceeds threshold, skip search if distance is below threshold
Key Features and Innovation
- Optimization of acquisition time and power consumption at UE
- Dynamic decision-making based on location changes
- Efficient utilization of network resources
Potential Applications
- Mobile telecommunications
- Internet of Things (IoT) devices
- Autonomous vehicles
Problems Solved
- Minimizing power consumption
- Enhancing network efficiency
- Improving user experience
Benefits
- Reduced power usage
- Faster network acquisition
- Enhanced connectivity
Commercial Applications
Optimizing network selection for mobile devices can lead to improved battery life and faster connections, benefiting both consumers and network operators. This technology could be integrated into smartphones, IoT devices, and other mobile equipment to enhance user experience and network efficiency.
Prior Art
Readers interested in prior art related to this technology may explore research papers, patents, and industry publications on network optimization, mobile communications, and location-based services.
Frequently Updated Research
Researchers are continually exploring ways to improve network selection algorithms and optimize power consumption in mobile devices. Stay updated on the latest advancements in network optimization and location-based services to understand the evolving landscape of this technology.
Questions about Network Optimization
How does this technology impact battery life in mobile devices?
This technology can significantly reduce power consumption by efficiently selecting networks based on location, leading to extended battery life for users.
What are the potential challenges in implementing dynamic network selection based on location changes?
Implementing dynamic network selection may require robust algorithms and real-time location tracking capabilities to ensure seamless transitions between different networks.
Original Abstract Submitted
A method and a system for optimizing acquisition time and power consumption at a user equipment (UE) are provided. The method includes establishing, by the UE located at an initial location, a radio resource control (RRC) connection with a non-terrestrial network (NTN)-based public land mobile network (PLMN), determining a current location of the UE based on one or more predetermined parameters, determining whether to perform a PLMN search for identifying a PLMN with a higher priority than connected NTN-based PLMN based at least on the initial location and the current location of the UE; and performing one of performing the PLMN search upon determining that a distance between the initial location and the current location of the UE is greater than a predetermined threshold distance value, or skipping the PLMN search upon determining that the distance between the initial location and the current location of the UE is less than the predetermined threshold distance value.
