Adaptive Broadcast Coding Rate Using UE Feedback
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Solution Overview
Problem
Existing wireless communication systems face challenges in adapting coding rates to ensure a threshold number of receiving devices successfully decode broadcast signals, leading to inefficiencies in transmitter overhead and resource utilization.
Innovation Solution
Employing adaptive coding rates based on feedback from receiving devices, using rateless codes like fountain codes and Raptor codes to dynamically adjust the number of encoded symbols transmitted until successful decoding is confirmed, thereby optimizing transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed number of encoded symbols are transmitted using Raptor codes, then the transmission structure is simple, but the recovery probability cannot be adapted to different channel conditions and device requirements
Solution Approach 1:
The patent implements dynamic adaptation of the number of encoded symbols transmitted based on feedback from receiving devices. The base station adjusts the coding rate in real-time according to channel conditions and decoding success rates, transforming a static transmission system into a dynamic one that adapts to varying requirements.
Solution Approach 2:
The patent introduces a feedback mechanism where receiving devices report decoding status to the base station. This feedback enables the base station to determine whether to continue transmitting encoded symbols or stop, allowing the system to adapt the transmission to actual channel conditions and device performance.
2Reliability
If more encoded symbols are transmitted to ensure high recovery probability, then reliability improves, but transmitter overhead increases
Solution Approach 1:
The feedback mechanism allows the base station to stop transmitting encoded symbols once a threshold number of devices successfully decode the data. This prevents unnecessary transmission of additional encoded symbols that would only increase overhead without improving recovery probability further.
Solution Approach 2:
The patent dynamically changes the parameter of the number of encoded symbols transmitted based on feedback information. By adjusting this parameter adaptively rather than using a fixed value, the system achieves high recovery probability only when necessary, minimizing overall transmitter overhead.
3Quantity of substance
If adaptive coding rate is implemented based on feedback, then transmitter overhead is minimized, but system complexity increases
Solution Approach 1:
While feedback introduces complexity, it enables the system to avoid transmitting unnecessary encoded symbols. The complexity of the feedback mechanism is justified by the significant reduction in transmitter overhead achieved through adaptive termination of transmission.
Solution Approach 2:
The receiving devices actively participate in the transmission process by providing feedback about their decoding status. This self-service approach allows the system to optimize transmission efficiency without requiring complex centralized control, as each device contributes to the overall optimization through its feedback.
4Reliability
If Raptor codes with redundant nodes are used, then detection and decoding performance improves, but the number of transmitted symbols increases
Solution Approach 1:
The feedback mechanism enables the system to transmit the minimum necessary number of encoded symbols with redundant nodes to achieve successful decoding. By adapting the transmission based on actual decoding performance, the system maintains high detection and decoding performance while improving transmission efficiency.
Solution Approach 2:
The patent dynamically adjusts the parameter of the number of encoded symbols transmitted, which includes the redundant nodes provided by Raptor codes. By changing this parameter adaptively, the system optimizes the balance between decoding performance and transmission efficiency, transmitting only as many symbols as needed.
Data Source
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AI summary
Aspects described herein relate to encoding wireless communications using feedback from receiving devices to achieve an adaptive coding rate, which can include generating, for a set of source symbols representing data to be transmitted in a broadcast channel, a set of encoded symbols for transmitting in the broadcast channel, transmitting a first number of the set of encoded symbols over the broadcast channel, requesting, based on transmitting the first number of the set of encoded symbols, feedback from a set of user equipment (UEs), and determining, based at least in part on the feedback, whether to continue transmitting a second number of the set of encoded symbols or begin transmitting a new set of encoded symbols representing new data to be transmitted in the broadcast channel.