18576233. PORT SELECTION WITH LOW COMPLEXITY simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
Contents
PORT SELECTION WITH LOW COMPLEXITY
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
[[:Category:Sebastian Fax�r of Stockholm (SE)|Sebastian Fax�r of Stockholm (SE)]][[Category:Sebastian Fax�r of Stockholm (SE)]]
[[:Category:Krister Edstr�m of Hjärup (SE)|Krister Edstr�m of Hjärup (SE)]][[Category:Krister Edstr�m of Hjärup (SE)]]
PORT SELECTION WITH LOW COMPLEXITY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18576233 titled 'PORT SELECTION WITH LOW COMPLEXITY
The abstract describes a method for port selection in a wireless communication system using Multiple-Input-Multiple-Output (MIMO) technology.
- Division of a channel matrix into sub-matrices for efficient processing.
- Formation of a re-ordered channel matrix based on eigen vector and eigen value matrices obtained through Eigen Value Decompositions (EVDs).
- Application of a port-sorting matrix to the re-ordered channel matrix for optimal port selection.
- Re-ordering of column vectors based on eigen values to enhance performance.
- Grouping of the channel matrix according to port sorting to obtain a final port-sorted channel matrix.
Potential Applications: - This technology can be applied in 5G and beyond wireless communication systems. - It can enhance the efficiency and performance of MIMO systems in various applications such as IoT, smart cities, and autonomous vehicles.
Problems Solved: - Efficient port selection in MIMO systems. - Optimization of channel matrices for improved communication performance.
Benefits: - Enhanced data transmission rates. - Improved signal quality and reliability. - Increased network capacity and coverage.
Commercial Applications: Title: Enhanced Port Selection Technology for Wireless Communication Systems This technology can be utilized by telecommunications companies, network equipment manufacturers, and IoT device manufacturers to improve the performance of wireless communication systems. It can lead to better user experiences, increased network efficiency, and support for emerging technologies like IoT and autonomous vehicles.
Prior Art: Readers can explore research papers, patents related to MIMO technology, and wireless communication systems to find prior art related to port selection methods in wireless communication systems.
Frequently Updated Research: Researchers are constantly exploring new algorithms and techniques to optimize port selection in MIMO systems. Stay updated on the latest advancements in wireless communication technology to leverage the benefits of this innovation.
Questions about Port Selection in Wireless Communication Systems: 1. How does port selection impact the performance of MIMO systems? Port selection plays a crucial role in optimizing the communication performance of MIMO systems by efficiently utilizing available resources and enhancing signal quality.
2. What are the key factors to consider when implementing port selection algorithms in wireless communication systems? Factors such as channel conditions, antenna configurations, and user equipment requirements are essential considerations when designing and implementing port selection algorithms for wireless communication systems.
Original Abstract Submitted
Systems and methods are disclosed for port selection for a wireless communication system. In one embodiment, a method performed by a Radio Access Network (RAN) node comprises dividing a channel matrix of one subcarrier of a Multiple-Input-Multiple-Output (MIMO) channel between an antenna array of the RAN node and a particular User Equipment (UE) into sub-matrices. The method further comprises forming a re-ordered channel matrix as a concatenation of the sub-matrices and forming a port-sorting matrix based on eigen vector matrices and eigen value matrices obtained via Eigen Value Decompositions (EVDs) performed on channel covariance matrices for the sub-matrices. The method further comprises applying the port-sorting matrix to the re-ordered channel matrix, re-ordering column vectors in the port-sorted channel matrix based on eigen values obtained from the EVDs, and applying grouping of the re-ordered, port-sorted channel matrix and port sorting accordingly to obtain a final port-sorted channel matrix.
