View source for Qualcomm incorporated (20240267182). MULTI-USER CHANNEL PREDICTION FOR MOBILITY SCENARIOS simplified abstract

=MULTI-USER CHANNEL PREDICTION FOR MOBILITY SCENARIOS=


==Organization Name==

[[:Category:qualcomm incorporated|qualcomm incorporated]]


[[Category:qualcomm incorporated]]

==Inventor(s)==

[[:Category:David Yunusov of Holon (IL)|David Yunusov of Holon (IL)]][[Category:David Yunusov of Holon (IL)]]

[[:Category:Gideon Shlomo Kutz of Ramat Hasharon (IL)|Gideon Shlomo Kutz of Ramat Hasharon (IL)]][[Category:Gideon Shlomo Kutz of Ramat Hasharon (IL)]]

[[:Category:Amit Bar-or Tillinger of Tel-Aviv (IL)|Amit Bar-or Tillinger of Tel-Aviv (IL)]][[Category:Amit Bar-or Tillinger of Tel-Aviv (IL)]]

==MULTI-USER CHANNEL PREDICTION FOR MOBILITY SCENARIOS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240267182 titled 'MULTI-USER CHANNEL PREDICTION FOR MOBILITY SCENARIOS

The abstract describes methods, systems, and devices for wireless communications. A network entity transmits demodulation reference signals (DMRS) to user equipments (UEs) and receives feedback messages indicating channel estimation information based on the DMRS. The network entity generates a multi-user multi-input and multi-output (MU-MIMO) channel prediction for a subsequent slot and transmits messages to the UEs based on the prediction.

* Wireless communication system with MU-MIMO capabilities
* Transmission of DMRS to UEs for channel estimation
* Generation of MU-MIMO channel prediction based on feedback messages
* Transmission of messages to UEs using MU-MIMO channel precoder
* Optimization of wireless communication efficiency and performance

Potential Applications:
- 5G and beyond wireless networks
- IoT devices and smart technologies
- Mobile communication systems

Problems Solved:
- Enhancing spectral efficiency in wireless networks
- Improving channel estimation accuracy
- Optimizing resource allocation in MU-MIMO systems

Benefits:
- Increased data rates and network capacity
- Enhanced reliability and coverage
- Improved user experience in wireless communication

Commercial Applications:
Title: "Advanced Wireless Communication System for Enhanced Data Transmission"
This technology can be utilized in telecommunications companies, IoT device manufacturers, and network infrastructure providers to offer high-speed, reliable wireless communication services. The market implications include improved network performance, increased customer satisfaction, and potential for new revenue streams.

Prior Art:
Further research can be conducted on existing MU-MIMO systems, wireless communication protocols, and channel estimation techniques to explore prior art related to this technology.

Frequently Updated Research:
Stay informed on the latest developments in MU-MIMO technology, wireless communication standards, and network optimization strategies to leverage the full potential of this innovation.

Questions about Wireless Communication Systems:
1. How does MU-MIMO technology improve network efficiency and capacity?
   - MU-MIMO allows multiple users to transmit and receive data simultaneously, increasing network throughput and capacity.
2. What are the key challenges in implementing MU-MIMO in wireless communication systems?
   - Challenges include interference management, channel estimation accuracy, and resource allocation optimization.


==Original Abstract Submitted==

methods, systems, and devices for wireless communications are described. a network entity may transmit via a first time slot, a first set of demodulation reference signals (dmrss) and a second set of dmrss that may be associated with a set of user equipments (ues). the network entity may receive from the set of ues, respective feedback messages indicating respective channel estimation information based on the first set of dmrss and the second set of dmrss. the network entity may generate a multi-user multi-input and multi-output (mu-mimo) channel prediction for a second slot subsequent the first slot, based on the respective feedback messages and generate a mu-mimo channel precoder associated with the set of ues based on the mu-mimo channel prediction. the network entity may transmit, during the second slot, one or more messages to the ues based on the mu-mimo channel prediction and the mu-mimo channel precoder.



[[Category:H04L5/00]]
[[Category:H04B7/0452]]
[[Category:H04B7/0456]]
[[Category:H04W72/0446]]
[[Category:CPC_H04L5/0051]]