Multi-Level Coding Bit Allocation Across Wireless Channels

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Solution Overview

Problem

In wireless communications systems, dynamically adapting bit allocations for multi-level coding schemes based on instantaneous channel conditions is challenging due to the need for pre-configuration, standardization, or storage of such allocations, which increases signaling overhead and latency.

Innovation Solution

A method where an encoding device and a decoding device independently determine information bit allocations among different coding schemes of a multi-level coding scheme based on instantaneous channel conditions, computing coding rates for each coding level and allocating bits proportionally to these rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If bit allocations for multi-level coding schemes are pre-configured or standardized, then encoding and decoding can be performed efficiently, but signaling overhead and latency increase

Engineering Contradiction:
Improveencoding and decoding efficiencyVSAvoidsignaling overhead
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The encoding device and decoding device independently determine information bit allocations based on instantaneous channel conditions without requiring pre-configuration or standardization. Each device computes coding rates and allocates bits autonomously, eliminating the need for signaling overhead while maintaining encoding efficiency

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The bit allocation scheme transitions from static pre-configuration to dynamic adaptation based on instantaneous channel conditions. The encoding device computes coding rates for each coding level based on current channel state and adjusts bit allocations in real-time, allowing the system to adapt to changing wireless environments without increased signaling

Inventive Principle:
Principle #15Dynamics

2Device complexity

If bit allocations are pre-configured or standardized, then device complexity is reduced, but adaptability to changing channel conditions deteriorates

Engineering Contradiction:
Improveencoding device complexityVSAvoidadaptability to channel conditions
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The system changes the parameter of bit allocation from fixed pre-configured values to dynamically computed values based on instantaneous channel conditions. The encoding device computes coding rates for each coding level based on current channel state and adjusts bit allocations accordingly, achieving adaptability without significantly increasing device complexity

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The encoding device independently determines bit allocations based on its own channel condition assessments without requiring complex pre-configured tables or standardized allocation schemes. This self-service approach simplifies device complexity while improving adaptability to changing wireless environments

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If independent determination of bit allocations is implemented, then adaptability to instantaneous channel conditions is improved, but encoding and decoding complexity increases

Engineering Contradiction:
Improveadaptability to channel conditionsVSAvoidencoding device complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The encoding process is segmented into distinct coding levels, with each level having its own coding rate computation and bit allocation. This segmentation allows the encoding device to independently determine allocations for each level based on channel conditions, achieving adaptability while managing complexity through modular processing

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system computes coding rates for each coding level based on instantaneous channel conditions and uses these computed parameters to determine bit allocations. By changing the parameter from fixed allocations to computed rates, the system achieves adaptability while the computational process remains manageable through systematic rate calculations

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250293794A1Bit allocations for multi-level coding in wireless communications
Publication Date: 2025.09.18 QUALCOMM INC
  • US20250293794A1 patent drawing
  • US20250293794A1 patent drawing
  • US20250293794A1 patent drawing

AI summary

Methods, systems, and devices for wireless communications are described. In some examples, a device may compute the coding rate associated with each coding level of coded modulation scheme based on one or more channel conditions of a wireless channel. The device may allocate multiple information bits among multiple coding schemes associated with a multi-level coding scheme. The quantity of information bits allocated to each coding scheme may be based on the coding rates associated with one or more coding levels corresponding to the coding scheme. The device may encode an information payload using the multiple coding schemes in accordance with the allocation of the multiple information bits. The device may transmit the encoded information payload via the wireless channel. The receiving device may compute the coding rate associated with each coding level of the multi-level coding scheme and allocate the information bits accordingly. The receiving device may decode the payload.