18069984. DYNAMIC ADAPTATION OF A SLEEP CYCLE FOR A CELL simplified abstract (QUALCOMM Incorporated)
Contents
- 1 DYNAMIC ADAPTATION OF A SLEEP CYCLE FOR A CELL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DYNAMIC ADAPTATION OF A SLEEP CYCLE FOR A CELL - 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 Wireless Communications
- 1.13 Original Abstract Submitted
DYNAMIC ADAPTATION OF A SLEEP CYCLE FOR A CELL
Organization Name
Inventor(s)
Ahmed Attia Abotabl of San Diego CA (US)
Marwen Zorgui of San Diego CA (US)
DYNAMIC ADAPTATION OF A SLEEP CYCLE FOR A CELL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18069984 titled 'DYNAMIC ADAPTATION OF A SLEEP CYCLE FOR A CELL
Simplified Explanation
The patent application describes methods, systems, and devices for wireless communications, focusing on a network entity's sleep cycle and dynamic adaptation to it.
- The communication device receives control signaling indicating the network entity's sleep cycle, alternating between active and inactive time durations.
- The control signaling includes a wakeup signal (WUS) occasion within the first active time duration for communication of a WUS and a time and frequency resource for subsequent communication.
- The device monitors and receives a control message via the time and frequency resource, indicating dynamic adaptation to the sleep cycle and the power state of the network entity.
Key Features and Innovation
- Control signaling for a network entity's sleep cycle.
- Wakeup signal (WUS) occasion within the first active time duration.
- Dynamic adaptation to the sleep cycle.
- Monitoring and receiving control messages for power state indication.
Potential Applications
This technology can be applied in various wireless communication systems to optimize power consumption and network efficiency.
Problems Solved
Efficient power management in wireless communication systems. Optimizing network entity's sleep cycles for improved performance.
Benefits
- Reduced power consumption.
- Enhanced network efficiency.
- Improved overall performance of wireless communication systems.
Commercial Applications
- Wireless communication networks.
- Internet of Things (IoT) devices.
- Mobile communication devices.
Prior Art
Researchers can explore prior patents related to power management in wireless communication systems and dynamic adaptation to sleep cycles.
Frequently Updated Research
Stay updated on advancements in power management techniques for wireless communication systems and network entity sleep cycle optimization.
Questions about Wireless Communications
How does dynamic adaptation to a network entity's sleep cycle improve power efficiency?
Dynamic adaptation allows for optimized power usage based on the network entity's sleep cycle, reducing unnecessary energy consumption during inactive periods.
What are the potential implications of implementing this technology in IoT devices?
Implementing this technology in IoT devices can lead to longer battery life, improved network connectivity, and overall enhanced performance.
Original Abstract Submitted
Methods, systems, and devices for wireless communications are described. A communications device such as a user equipment (UE) may receive control signaling that indicates a sleep cycle of a network entity over which the network entity alternates between an active time duration and an inactive time duration. In some examples, the control signaling may indicate a wakeup signal (WUS) occasion within a first active time duration of the sleep cycle for communication of a WUS and a time and frequency resource within the first active time duration of the sleep cycle that occurs after the wakeup signal occasion. The UE may monitor and receive, via the time and frequency resource, a first control message including an indication of a dynamic adaptation to the sleep cycle and indicating the power state of the network entity.
