20240056159. OPTIMIZING SPECTRAL EFFICIENCY IN A 5G MASSIVE MIMO SPLIT ARCHITECTURE simplified abstract (Intel Corporation)

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OPTIMIZING SPECTRAL EFFICIENCY IN A 5G MASSIVE MIMO SPLIT ARCHITECTURE

Organization Name

Intel Corporation

Inventor(s)

Thushara Hewavithana of Tempe AZ (US)

Ranjit Cavatur of San Marcos CA (US)

Neelam Chandwani of Portland OR (US)

Ziyi Li of Beijing (CN)

Bishwarup Mondal of San Ramon CA (US)

OPTIMIZING SPECTRAL EFFICIENCY IN A 5G MASSIVE MIMO SPLIT ARCHITECTURE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240056159 titled 'OPTIMIZING SPECTRAL EFFICIENCY IN A 5G MASSIVE MIMO SPLIT ARCHITECTURE

Simplified Explanation

The abstract of this patent application describes apparatuses, systems, and methods for scheduling user equipment (UE) transmissions in a 5G new radio system with a split architecture. The scheduler selects a beamforming algorithm for a UE group consisting of a first UE and a second UE, based on characteristics of the algorithm and/or the UE group. The scheduler determines an effective signal-to-interference-plus-noise ratio (SINR) for the UE group based on the selected beamforming algorithm and calculates a summed proportional fair metric for the UE group using the effective SINR. The scheduler then schedules a transmission for either the first UE or the UE group, based on a proportional fair metric for the first UE and the summed proportional fair metric for the UE group.

  • The patent application relates to scheduling UE transmissions in a 5G new radio system with a split architecture.
  • The scheduler selects a beamforming algorithm for a UE group based on characteristics of the algorithm and/or the UE group.
  • The scheduler determines an effective SINR for the UE group based on the selected beamforming algorithm.
  • The scheduler calculates a summed proportional fair metric for the UE group using the effective SINR.
  • The scheduler schedules a transmission for either the first UE or the UE group based on a proportional fair metric for the first UE and the summed proportional fair metric for the UE group.

Potential Applications:

  • This technology can be applied in 5G new radio systems with a split architecture to efficiently schedule UE transmissions.
  • It can improve the overall performance and fairness of the system by selecting appropriate beamforming algorithms and optimizing the scheduling process.

Problems Solved:

  • The technology addresses the challenge of scheduling UE transmissions in a 5G new radio system with a split architecture.
  • It solves the problem of selecting the most suitable beamforming algorithm for a UE group based on their characteristics.
  • It optimizes the scheduling process by considering the effective SINR and proportional fair metrics.

Benefits:

  • Improved performance and fairness in scheduling UE transmissions.
  • Enhanced efficiency and utilization of resources in 5G new radio systems.
  • Better user experience and quality of service for UE groups.


Original Abstract Submitted

this disclosure relates to apparatuses, systems, and methods for scheduling user equipment (ue) transmissions, and in particular for scheduling ue transmissions in a 5g new radio system with a split architecture. the scheduler selects a beamforming algorithm for a ue group that includes a first ue and a second ue, where the beamforming algorithm is based on characteristics of the beamforming algorithm and/or the ue group. the scheduler determines an effective sinr for the ue group based on the beamforming algorithm and determines a summed proportion fair metric for the ue group based on the effective sinr for the ue group. the scheduler schedules a transmission for either the first ue or the ue group, based on a proportional fair metric for the first ue and the summed proportional fair metric for the ue group.

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