Non-Coherent Transmission Duty Cycling for Reliability and Latency
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Solution Overview
Problem
Wireless communications systems face challenges in determining an appropriate duty cycle duration for non-coherent transmissions, leading to issues such as decreased reliability, increased latency, and inefficient resource usage due to poor signal-to-noise ratios and varying peak transmit power.
Innovation Solution
A wireless device transmits a report message with performance parameters, including energy thresholds and delay constraints, to receive duty cycle information, allowing for non-coherent transmissions to be scheduled based on a calculated duty cycle, balancing reliability and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If non-coherent transmissions are performed without duty cycle optimization, then transmission simplicity is maintained, but reliability decreases due to poor signal-to-noise ratios
Solution Approach 1:
The system implements feedback mechanisms where the wireless device reports performance parameters (energy threshold, delay constraint) to the network entity. The network entity uses this feedback to determine appropriate duty cycle information, creating a closed-loop control system that optimizes reliability while managing complexity through automated decision-making.
Solution Approach 2:
The patent changes the duty cycle parameter dynamically based on reported performance parameters. By adjusting the duty cycle (ratio of transmission time to total cycle time), the system optimizes signal-to-noise ratio and transmission reliability without requiring complex manual configuration, as the parameter adaptation is driven by automated reporting and determination processes.
2Reliability
If duty cycle duration is extended to improve signal-to-noise ratio, then transmission reliability improves, but latency increases
Solution Approach 1:
The system dynamically adjusts the duty cycle duration based on real-time performance parameters reported by the wireless device. Rather than using a fixed duty cycle, the network entity determines optimal duty cycle information considering the specific delay constraints and energy thresholds reported, allowing the system to adapt transmission timing to balance reliability and latency requirements.
Solution Approach 2:
The wireless device performs preliminary reporting of performance parameters (energy threshold, delay constraint) before transmission scheduling. This preliminary action enables the network entity to pre-determine appropriate duty cycle information that satisfies both reliability and latency requirements, avoiding post-transmission adjustments and reducing overall latency.
3Reliability
If peak transmit power is increased to improve transmission reliability, then signal quality improves, but energy consumption increases
Solution Approach 1:
The system uses periodic duty cycle-based transmission where the wireless device transmits at high peak power only during specific transmission windows within each duty cycle, rather than continuous high-power transmission. This periodic action concentrates energy into brief high-power bursts that achieve reliable signal delivery while allowing the device to consume less energy overall during non-transmission periods.
Solution Approach 2:
The system changes the duty cycle parameter to optimize the trade-off between peak transmit power and energy consumption. By adjusting the duty cycle ratio and duration based on reported energy thresholds, the network entity determines transmission schedules that achieve required signal quality while minimizing total energy consumption, as lower duty cycles reduce the proportion of time spent in high-power transmission state.
4Productivity
If duty cycle information is determined without performance parameter reporting, then system complexity is reduced, but resource allocation efficiency decreases
Solution Approach 1:
The wireless device performs self-assessment by autonomously determining its own performance parameters (energy threshold, delay constraint) and reporting them to the network entity. This self-service approach enables efficient resource allocation without requiring complex centralized analysis, as each device independently provides the information needed for optimized duty cycle determination.
Solution Approach 2:
The system implements feedback through performance parameter reporting, where wireless devices provide information about their operational constraints and capabilities. This feedback enables the network entity to determine appropriate duty cycle information that optimizes resource allocation efficiency, as the determination is based on actual device performance characteristics rather than generic assumptions.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A wireless device (e.g., a user equipment (UE)) may transmit a report message including one or more performance indicators, such as delay constraints and energy consumption, among other examples). Based thereon, another wireless device (e.g., a network entity) may transmit duty cycle information to the wireless device. The duty cycle information may include a duty cycle value (e.g., based on which a duty cycle duration can be determined or calculated), time and frequency resource indication of a transmission occasion, an index corresponding to previously configured candidate duty cycle value or transmission occasion, or the like. The wireless device may transmit non-coherent transmission (e.g., peaky transmissions) according to the duty cycle information.