Telefonaktiebolaget lm ericsson (publ) (20240137079). USER SELECTION FOR MU-MIMO simplified abstract

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USER SELECTION FOR MU-MIMO

Organization Name

telefonaktiebolaget lm ericsson (publ)

Inventor(s)

Ulf Gustavsson of Göteborg (SE)

Amirashkan Farsaei of Eindhoven (NL)

Alex Alvarado of Den Bosch (NL)

Frans M.J. Willems of Geldrpo (NL)

USER SELECTION FOR MU-MIMO - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240137079 titled 'USER SELECTION FOR MU-MIMO

Simplified Explanation

The method disclosed in the patent application is for selecting users for multi-user multiple-input multiple-output (MU-MIMO) communication from an initial set of potential users. The method involves determining a channel correlation metric for each user, reducing the set of potential users based on this metric, calculating a performance metric for the remaining users, and selecting users based on the comparison of these performance metrics.

  • Channel correlation metric includes:
 - Channel filter norm
 - Channel norm
 - Channel gain
 - Pair-wise correlations between users
 - Channel eigenvalue
  • Performance metric is calculated for each set of potential users.
  • Selection of users is based on the comparison of performance metrics.

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      1. Potential Applications

This technology can be applied in wireless communication systems to optimize user selection for MU-MIMO communication, improving overall system performance and efficiency.

      1. Problems Solved

1. Efficient selection of users for MU-MIMO communication. 2. Maximizing system performance by considering channel correlation metrics.

      1. Benefits

1. Enhanced communication system efficiency. 2. Improved data transmission rates. 3. Optimal resource allocation for multiple users.

      1. Potential Commercial Applications
        1. Optimized User Selection for MU-MIMO Communication Systems

This technology can be utilized in 5G networks, Wi-Fi systems, and other wireless communication systems to improve user selection processes for MU-MIMO communication, leading to better overall system performance.

      1. Possible Prior Art

Prior art in the field of wireless communication systems may include research papers, patents, or technologies related to user selection algorithms, MU-MIMO systems, and channel correlation metrics in communication networks.

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        1. Unanswered Questions
      1. How does this method compare to existing user selection algorithms in terms of performance metrics?

This article does not provide a direct comparison with existing algorithms in terms of performance metrics. Further research or testing may be needed to evaluate the effectiveness of this method compared to other approaches.

      1. What impact does the selection of users based on channel correlation metrics have on the overall system capacity and throughput?

The article does not delve into the specific impact of selecting users based on channel correlation metrics on system capacity and throughput. Additional studies or simulations could provide insights into how this method affects these key performance indicators in MU-MIMO communication systems.


Original Abstract Submitted

a method is disclosed of selecting users for multi user multiple-input multiple-output (mu-mimo) communication from an initial set of potential users. the method comprises repeating the following steps in successive iterations until a stopping criterion is met: determining a channel correlation metric for each user in the set of potential users, reducing the set of potential users by exclusion of a user based on the channel correlation metric, and calculating a performance metric of the set of potential users. the method also comprises selecting users corresponding to one of the sets of potential users, wherein the selection is based on a comparison of the calculated performance metrics of the sets of potential users. the channel correlation metric for a user may comprise one or more of: a channel filter norm for the user, a channel norm for the user, a channel gain for the user, pair-wise correlations between the user and one or more other users of the set of potential users, and a channel eigenvalue for the user. the performance metric may comprise

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