Altiostar Networks India Private Limited (20240333453). SRS LAYER AND PORT ESTIMATION FOR UPLINK AND DOWNLINK TRANSMISSION simplified abstract
Contents
SRS LAYER AND PORT ESTIMATION FOR UPLINK AND DOWNLINK TRANSMISSION
Organization Name
Altiostar Networks India Private Limited
Inventor(s)
Raghavendra Madanahally Ramakrishna of Bangalore (IN)
Ronak Bharatkumar Lalwala of Bangalore (IN)
Vijayakumar Yalamalli of Bangalore (IN)
SRS LAYER AND PORT ESTIMATION FOR UPLINK AND DOWNLINK TRANSMISSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240333453 titled 'SRS LAYER AND PORT ESTIMATION FOR UPLINK AND DOWNLINK TRANSMISSION
The patent application provides techniques for selecting layers and ports for multiple-input-multiple-output (MIMO) beamforming.
- Receiving a plurality of sounding reference signals (SRSs) transmitted by a plurality of SRS ports, each corresponding with a SRS port of a UE.
- Measuring a signal-to-noise ratio (SNR) for each of the SRS ports.
- Estimating a wideband channel port correlation matrix across the SRS ports.
- Setting correlation and SNR thresholds.
- Selecting one or more SRS ports that satisfy the condition of being equal to or less than the correlation threshold and equal to or greater than the SNR threshold.
Potential Applications: - Wireless communication systems - 5G technology - Beamforming in MIMO systems
Problems Solved: - Optimizing MIMO beamforming performance - Enhancing signal quality in wireless communication
Benefits: - Improved signal-to-noise ratio - Enhanced data transmission rates - Better overall performance of MIMO systems
Commercial Applications: Title: "Advanced MIMO Beamforming Technology for Enhanced Wireless Communication" This technology can be utilized in telecommunications companies, network infrastructure providers, and device manufacturers to improve the efficiency and reliability of wireless communication systems.
Questions about MIMO Beamforming: 1. How does this technology improve the performance of MIMO systems? - This technology enhances signal quality and optimizes data transmission rates in MIMO systems, leading to improved overall performance. 2. What are the key factors to consider when selecting layers and ports for MIMO beamforming? - Factors such as signal-to-noise ratio, correlation thresholds, and channel port correlation matrices play a crucial role in the selection process.
Original Abstract Submitted
techniques for selecting layers and ports for multiple-input-multiple-output (mimo) beamforming are provided. in some implementations, the techniques may include receiving a plurality of sounding reference signals (srss) transmitted by a plurality of srs ports, each of the plurality of srss corresponding with a srs port of a ue. in addition, the techniques may include measuring a signal-to-noise ratio (snr) for each of the plurality of srs ports, and estimating a wideband channel port correlation matrix across the plurality of srs ports. the techniques may include setting a correlation threshold and a snr threshold. further, the techniques may include selecting one or more srs ports from the plurality of srs ports that satisfy a condition of being equal to or less than the correlation threshold and equal to or greater than the snr threshold, where the layers correspond with a total number of srs ports that satisfy the above condition.
