Wireless Power Control for Non-Uniform Bit Distributions
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Solution Overview
Problem
Existing power control techniques in wireless communications systems assume uniform bit distributions, which can lead to inefficiencies and increased interference in scenarios with non-uniform bit distributions.
Innovation Solution
Determine power control based on bit distribution information, such as entropy or probability information, to adjust transmit power using a bits per resource element (BPRE) parameter, accounting for non-uniform bit distributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If power control is based on uniform bit distribution assumption, then power control operations can be performed with simple calculations, but communication efficiency deteriorates and interference increases in scenarios with non-uniform bit distributions
Solution Approach 1:
The patent changes the parameter basis for power control from uniform distribution assumption to actual bit distribution characteristics (entropy, probability information). By calculating BPRE based on actual bit distribution rather than assuming uniform distribution, the system adapts power allocation to match the true information content, improving communication efficiency while maintaining computational feasibility through entropy-based metrics.
2Productivity
If power control is optimized for non-uniform bit distributions, then communication quality and throughput improve, but system complexity increases due to additional bit distribution analysis
Solution Approach 1:
The patent introduces bit distribution information (entropy, probability) as an intermediary parameter that bridges the gap between simple power control and complex non-uniform distribution optimization. This intermediary enables throughput improvement by capturing essential distribution characteristics without requiring full complexity of detailed bit analysis, as the entropy and probability metrics serve as sufficient statistics for power control decisions.
3Reliability
If transmit power is increased to ensure reliable communication, then reliability improves, but power utilization deteriorates due to unnecessary power expenditure on high-probability bits
Solution Approach 1:
The patent applies local quality by differentiating power allocation based on individual bit probabilities within the message. Instead of uniform power per bit, the system allocates power proportional to each bit's information content (log2(1/p(b))). High-probability bits (low information content) receive less power, while low-probability bits (high information content) receive more power, optimizing the balance between reliability and power utilization.
4Measurement precision
If power control uses detailed bit distribution information, then power allocation accuracy improves, but overhead increases due to additional information exchange
Solution Approach 1:
The patent extracts only the essential characteristics of bit distribution (entropy and probability information) rather than transmitting complete bit distribution details. This extraction provides sufficient accuracy for power allocation while minimizing overhead, as these condensed metrics capture the necessary distribution properties without requiring exchange of full bit-level distribution data.
Data Source
AI summary
Methods, systems, and devices for wireless communications at a user equipment (UE) or other wireless device are described. The UE may communicate bit distribution information for an uncompressed message set, the uncompressed message set including a plurality of messages and the bit distribution information indicating a distribution of bits included in one or more messages of the plurality of messages of the uncompressed message set. The UE may transmit, at a transmit power determined in accordance with a bits per resource element (BPRE) parameter, a first message from the plurality of messages of the uncompressed message set, where the BPRE parameter is a function of the bit distribution information for the uncompressed message set and a quantity of resource elements utilized for transmission of the first message.