Uplink Shared Channel Resource Splitting for Control Information
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Solution Overview
Problem
Conventional techniques for allocating resources on an uplink shared channel in wireless communication systems are inefficient, often resulting in a disproportionate allocation of resources to a single type of control information, leading to poor distribution among different types of control information and uplink data.
Innovation Solution
The proposed solution involves splitting resource elements between different types of control information and uplink data based on dynamically signaled weighting factors and a reference payload size, ensuring an improved distribution and reducing the likelihood of all resources being allocated to a single type, with the UE and base station calculating and applying the same resource split method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional resource allocation techniques are used for uplink shared channel, then the allocation process is simple, but the distribution of resources among different types of control information and uplink data is disproportionate and inefficient
Solution Approach 1:
The patent introduces weighting factors (beta offsets) as adjustable parameters to control the proportion of resource elements allocated to different UCI types. By dynamically changing these parameters based on channel conditions and traffic requirements, the system achieves efficient resource distribution without requiring complex allocation algorithms. The base station signals these weighting factors to the UE, which then uses them to calculate the number of REs for each UCI type according to the patent's formulas.
Solution Approach 2:
The resource allocation scheme transitions from static to dynamic by allowing the weighting factors to be adjusted in real-time based on channel quality indicators (CQI), buffer status, and traffic priorities. This enables the system to adapt resource distribution to changing conditions, improving overall productivity while maintaining manageable complexity through standardized adjustment rules.
2Reliability
If all allocated resource elements are assigned to a single UCI type, then the calculation is straightforward, but other types of control information and uplink data receive insufficient resources
Solution Approach 1:
The patent segments the total pool of resource elements into distinct portions for different UCI types (HARQ-ACK, CSI part 1, CSI part 2) and uplink data. Each segment is calculated using specific formulas that incorporate weighting factors and payload sizes. This segmentation ensures that each UCI type receives an appropriate share of resources based on its importance and size, improving reliability while maintaining clear calculation rules that limit complexity.
Solution Approach 2:
Different weighting factors are applied to different UCI types according to their specific requirements. For example, HARQ-ACK may receive higher weighting to ensure reliable feedback transmission, while CSI reporting may receive lower weighting. This localized quality adjustment ensures each UCI type gets the resource distribution it needs without requiring a completely complex global optimization mechanism.
3Ease of operation
If resource elements are evenly distributed among all UCI types, then the distribution appears balanced, but the allocation does not account for different payload sizes and priorities of various control information types
Solution Approach 1:
Instead of fixed even distribution, the patent uses weighting factors as adjustable parameters that reflect the priority and payload characteristics of each UCI type. The base station can signal different beta offset values to achieve optimal resource distribution for current conditions. This maintains operational simplicity through standardized signaling while dramatically improving allocation efficiency by accounting for different UCI requirements.
Solution Approach 2:
The system incorporates feedback mechanisms where the base station monitors channel conditions, UE buffer status, and transmission outcomes, then adjusts the weighting factors accordingly. This feedback loop enables the system to learn and adapt to optimal resource distribution patterns, improving productivity over time while keeping the operational rules simple and standardized.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described that support splitting resources among different types of control information and uplink data for transmission on an uplink shared channel. A base station may transmit a grant indicating resource elements (REs) of an uplink shared channel allocated to a user equipment (UE) for an uplink transmission. The UE may process the grant and split the granted REs between different types of uplink control information (UCI) and uplink data based on a reference payload size. The UE may generate an uplink transmission based on the splitting of the REs, and may transmit the uplink transmission in the REs of the uplink shared channel indicated in the grant. The base station may monitor the REs of the uplink shared channel for the uplink transmission in accordance with the splitting of the plurality of REs.