20240080762.SYSTEMS, METHODS, AND DEVICES FOR ENERGY OPTIMAL RADIO LINK ADAPTATION simplified abstract (apple inc.)
Contents
- 1 SYSTEMS, METHODS, AND DEVICES FOR ENERGY OPTIMAL RADIO LINK ADAPTATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS, METHODS, AND DEVICES FOR ENERGY OPTIMAL RADIO LINK ADAPTATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEMS, METHODS, AND DEVICES FOR ENERGY OPTIMAL RADIO LINK ADAPTATION
Organization Name
Inventor(s)
David Boettger of San Jose CA (US)
SYSTEMS, METHODS, AND DEVICES FOR ENERGY OPTIMAL RADIO LINK ADAPTATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240080762 titled 'SYSTEMS, METHODS, AND DEVICES FOR ENERGY OPTIMAL RADIO LINK ADAPTATION
Simplified Explanation
The techniques described in this patent application focus on optimizing the battery power of a user equipment (UE) through energy optimal radio link adaption. This involves determining an energy optimal modulation and coding scheme (MCS) that enables reception of a data payload at the lowest total energy consumed by a receiver. The UE communicates the energy optimal MCS to a base station, which then sends a data payload to the UE using an energy optimal data transfer rate based on the energy optimal MCS.
- Factors influencing energy optimal MCS:
- Time and/or data rate constraints - Changes in transfer rates relative to changes in energy consumption
- Process:
- UE determines energy optimal MCS - UE communicates MCS to base station - Base station sends data payload using energy optimal data transfer rate
Potential Applications
The technology described in this patent application could be applied in: - Mobile devices - Internet of Things (IoT) devices - Wireless communication systems
Problems Solved
- Battery power optimization in user equipment - Efficient data transmission in wireless communication systems
Benefits
- Extended battery life for user equipment - Improved energy efficiency in data transmission - Enhanced overall performance of wireless communication systems
Potential Commercial Applications
Optimizing battery power through energy optimal radio link adaption could be beneficial in various commercial applications such as: - Smartphones and tablets - Wearable devices - Industrial IoT systems
Possible Prior Art
One possible prior art in this field is the use of adaptive modulation and coding (AMC) techniques in wireless communication systems to optimize data transmission based on channel conditions.
Unanswered Questions
How does this technology impact network latency?
This article does not address the potential impact of energy optimal radio link adaption on network latency.
What are the potential security implications of implementing this technology?
The article does not discuss the security considerations associated with optimizing battery power through energy optimal radio link adaption.
Original Abstract Submitted
the techniques described herein include provide solutions to optimizing the battery power of a user equipment (ue) though energy optimal radio link adaption. a ue may determine an energy optimal modulation and coding scheme (mcs). an energy optimal mcs may include an mcs that enables reception of a data payload at a lowest total energy consumed by a receiver. in some implementations, the mcs may be based on several factors, including time and/or data rate constraints and changes in transfer rates relative to changes in energy consumption. the ue may communicate the energy optimal mcs to a base station, and the base station may send a data payload to the ue using an energy optimal data transfer rate that is based on the energy optimal mcs.
