Adaptive Repetition Level for Wireless Coverage and Throughput

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Solution Overview

Problem

In wireless communication systems, achieving optimal coverage while minimizing resource waste and maximizing throughput is challenging due to the trade-off between repetition levels and network resource usage, particularly in scenarios with varying channel quality.

Innovation Solution

The technology dynamically adapts the repetition level for user equipment communications based on real-time channel quality and hybrid automatic repeat request (HARQ) feedback, adjusting the repetition level according to signal conditions to find an optimal balance between coverage and throughput.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If repetition level is increased to enhance coverage, then coverage range is improved, but network resource usage increases and throughput decreases

Engineering Contradiction:
Improvecoverage rangeVSAvoidnetwork throughput
Core Design Contradiction:
Area of stationary objectVSProductivity

Solution Approach 1:

The patent implements dynamic adaptation of repetition levels based on real-time channel quality feedback. The network device adjusts the repetition level for each user equipment according to measured channel conditions, transforming the static repetition configuration into a dynamic parameter that adapts to varying signal environments. This resolves the contradiction by applying higher repetition only when and where needed for coverage extension, rather than universally.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the repetition level parameter based on channel quality indicators and HARQ feedback. By monitoring channel conditions and adjusting the repetition parameter dynamically, the system optimizes the balance between coverage and throughput. When channel quality is good, repetition level is reduced to preserve throughput; when coverage is needed, repetition level is increased appropriately.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If repetition level is increased to improve reliability in poor signal conditions, then reception success rate is improved, but resource efficiency deteriorates

Engineering Contradiction:
Improvereception success rateVSAvoidnetwork resource efficiency
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent employs HARQ (Hybrid Automatic Repeat Request) feedback mechanisms where the receiving device sends acknowledgments or negative acknowledgments based on successful data reception. The transmitting device uses this feedback to determine whether to retransmit data and at what repetition level. This feedback loop ensures reliability by confirming successful reception while avoiding unnecessary retransmissions that would waste network resources.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system enables user equipment to self-adjust and self-report channel quality conditions to the network. The UE measures its own channel quality and provides feedback, allowing the network to make informed decisions about repetition levels. This self-service approach improves reliability efficiently by baseing retransmission decisions on actual reception conditions rather than conservative blanket retransmission strategies.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20240333436A1Adaptive repetition in wireless communication systems
Publication Date: 2024.10.03 AT&T INTELLECTUAL PROPERTY I L P
  • US20240333436A1 patent drawing
  • US20240333436A1 patent drawing
  • US20240333436A1 patent drawing

AI summary

The described technology is generally directed towards adaptively selecting a repetition level in wireless communications, based on events to improve coverage range via the repetition level while not unnecessarily reducing throughput. One such event can include a current signal-to-noise-ratio, e.g., as reported in a channel quality indicator report from a user equipment. Another such event can comprise a number of consecutive hybrid automatic repeat request acknowledgments or negative acknowledgments (HARQ ACKS/NACKS), in which consecutive ACKs tend to indicate good signal quality, while consecutive NACKs tend to indicate poor signal quality. A combination of channel quality indicator-based adaptive repetition level and HARQ ACK/NACK-based adaptive repetition level can be employed.