Qualcomm incorporated (20240340695). SEMI-PERSISTENT SCHEDULING AND COMPRESSION ADAPTATION simplified abstract

From WikiPatents
Jump to navigation Jump to search

SEMI-PERSISTENT SCHEDULING AND COMPRESSION ADAPTATION

Organization Name

qualcomm incorporated

Inventor(s)

Daniel Paz of Atlit (IL)

Michael Levitsky of Rehovot (IL)

Matan Guetta of Kiryat Ono (IL)

SEMI-PERSISTENT SCHEDULING AND COMPRESSION ADAPTATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240340695 titled 'SEMI-PERSISTENT SCHEDULING AND COMPRESSION ADAPTATION

Simplified Explanation

The patent application describes methods, systems, and devices for wireless communications, focusing on the transmission of control messages indicating semi-persistent resources for scheduling multiple wireless devices. The user equipment measures channel conditions and adapts signal compression parameters based on these conditions to optimize transmission to the devices.

  • User equipment transmits control messages for scheduling multiple wireless devices.
  • Measurement of channel conditions during a resource reservation period.
  • Adaptation of signal compression parameters based on channel conditions.
  • Transmission of compressed signals to multiple wireless devices.

Key Features and Innovation

  • User equipment controls scheduling of multiple wireless devices.
  • Adaptive signal compression based on channel conditions.
  • Optimization of resource allocation for efficient wireless communication.

Potential Applications

The technology can be applied in various wireless communication systems, such as cellular networks, IoT devices, and industrial automation.

Problems Solved

The technology addresses the challenge of efficiently scheduling and transmitting data to multiple wireless devices within a set of resource reservation periods.

Benefits

  • Improved resource allocation efficiency.
  • Enhanced data transmission performance.
  • Better utilization of wireless communication resources.

Commercial Applications

  • Enhanced performance in cellular networks.
  • Improved connectivity for IoT devices.
  • Increased efficiency in industrial automation systems.

Prior Art

Readers can explore prior patents related to wireless communication systems, resource allocation, and signal compression techniques to understand the background of this technology.

Frequently Updated Research

Stay updated on advancements in wireless communication systems, resource allocation algorithms, and signal processing techniques to enhance the efficiency of this technology.

Questions about Wireless Communications

How does adaptive signal compression improve wireless communication efficiency?

Adaptive signal compression optimizes data transmission by adjusting compression parameters based on channel conditions, reducing bandwidth usage and enhancing overall performance.

What are the potential challenges in implementing scheduling for multiple wireless devices?

Implementing scheduling for multiple wireless devices may face challenges such as interference management, resource allocation optimization, and coordination among devices.


Original Abstract Submitted

methods, systems, and devices for wireless communications are described. in some cases, a user equipment (ue) may transmit a control message indicating semi-persistent (sp) resources for multiple wireless devices scheduling within a set of resource reservation periods. the ue may measure one or more channel conditions of a channel during a first resource reservation period of the set of resource reservation periods, the channel associated with the sp resources for the multiple wireless devices. additionally, the ue may adapt a compression parameter of one or more signals to be transmitted to the multiple wireless devices during the first resource reservation period based on the one or more channel conditions and may transmit, to the multiple wireless devices, one or more compressed signals generated based on the compression parameter and the one or more signals.