LTE Uplink User Selection for Signal to Noise Ratio

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Solution Overview

Problem

LTE networks face interference and reduced signal strength due to high noise levels and interference between users sharing the same subcarrier, leading to poor network throughput and data throughput disparities among users.

Innovation Solution

A method is provided to determine optimal combinations of users transmitting on the same subcarrier, computing signal-to-noise ratios (SNR) using Interference Rejection Combining (IRC) and Singular Value Decomposition (SVD), and selecting combinations with maximum SNR to improve signal quality and reduce interference.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple users transmit on the same subcarrier simultaneously, then network throughput capacity increases, but signal to noise ratio decreases due to interference between users

Engineering Contradiction:
Improvenetwork throughput capacityVSAvoidsignal to noise ratio
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent applies parameter changes by dynamically adjusting the number of users N transmitted on each subcarrier based on channel conditions, SNR calculations, and interference levels. The system modifies transmission parameters (user selection, subcarrier allocation) to optimize the balance between network capacity and signal quality, selecting optimal user combinations that maximize throughput while maintaining acceptable SNR thresholds

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system implements dynamics by continuously adapting user selection and subcarrier allocation based on real-time channel state information. The base station dynamically determines which N users transmit on which subcarriers by calculating SNR for different user combinations and adjusting allocations to maintain optimal performance as channel conditions change over time

Inventive Principle:
Principle #15Dynamics

2Productivity

If MIMO technology is deployed to improve data throughput, then data rate increases, but system complexity increases due to multiple antennas and processing requirements

Engineering Contradiction:
Improvedata throughputVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the MIMO system into multiple independent subcarriers, each handling a limited number of users N. This segmentation allows the complex MIMO processing to be broken down into manageable sub-problems on each subcarrier, reducing overall system complexity while maintaining high data throughput through parallel processing across multiple subcarriers

Inventive Principle:
Principle #1Segmentation

3Reliability

If user selection is performed to maximize SNR, then signal quality improves, but processing time and computational complexity increase

Engineering Contradiction:
Improvesignal qualityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies partial action by selecting only N users out of X total users to transmit on each subcarrier, rather than processing all possible user combinations. This partial selection approach achieves sufficient SNR optimization without the excessive computational burden of evaluating all possible user sets, balancing signal quality improvement with acceptable processing time

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11133835B2Method for improving signal to noise ratio in an uplink transmission
Publication Date: 2021.09.28 MURALIDHAR KARTHIK
  • US11133835B2 patent drawing
  • US11133835B2 patent drawing
  • US11133835B2 patent drawing

AI summary

A method for improving signal to noise ratio in an uplink transmission. The method includes determining a plurality of combinations of “N” possible users to be selected among “X” users that are transmitting signals to a base station comprising “n” number of antennas, where n>=N, wherein selected “N” users transmit on a same sub-carrier; computing signal to noise ratio (SNR) of the signals received from each of the users among the determined combination of “N” possible users; and selecting at least one combination among the plurality of combinations of “N” possible users, such that, a combined signal to noise ratio of the selected combination is maximum among all combinations.