5G UE Transmission Resource Allocation for Logical Channels
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Solution Overview
Problem
Next-generation mobile communication systems require efficient methods to allocate and configure transmission resources for user equipment (UE) to support high data transfer rates and low latency, especially in 5G and IoT environments, where existing technologies face challenges in optimizing data transmission across multiple logical channels.
Innovation Solution
A method and apparatus for efficiently distributing transmission resources and configuring transmission data in a UE, involving the reception of information for allocating transmission resources, identifying data units for logical channels, determining data unit sizes based on allocated resources, and transmitting data accordingly, which can be applied to both LTE and next-generation mobile communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If multiple transmission resources are allocated to support high data transfer rates, then data transfer rate is improved, but device complexity increases due to resource distribution and configuration requirements
Solution Approach 1:
The patent segments transmission resources into multiple distinct resources (first transmission resource and second transmission resource) and assigns them to different logical channels. This segmentation allows the system to manage complex resource allocation by dividing the overall transmission task into manageable parts, each handled independently according to specific channel requirements.
Solution Approach 2:
The patent implements dynamic resource allocation where the transmitter adapts resource distribution based on real-time channel conditions and data requirements. The system dynamically determines which logical channel receives which transmission resource, allowing flexible adjustment of resource allocation to optimize data transfer rates while managing complexity through adaptive control mechanisms.
2Productivity
If transmission resources are distributed for each logical channel to optimize data configuration, then productivity is improved, but device complexity increases due to processing requirements
Solution Approach 1:
The patent divides the data transmission process into separate handling paths for different logical channels. Each logical channel (first logical channel and second logical channel) is processed independently with its own resource allocation, allowing the system to optimize transmission efficiency for each channel type while managing processing complexity through structured separation of processing tasks.
Solution Approach 2:
The patent applies different processing qualities and resource allocations to different logical channels based on their specific requirements. Each logical channel receives tailored resource distribution and processing attention appropriate to its data characteristics, enabling optimized transmission efficiency for each channel type without requiring uniform complex processing across all channels.
3Adaptability or versatility
If data units are configured from each logical channel for multiple transmission resources, then adaptability is improved, but device complexity increases due to configuration requirements
Solution Approach 1:
The patent implements dynamic configuration where data units from different logical channels are adaptively assigned to transmission resources based on real-time requirements. The system can dynamically adjust which logical channel data is placed in which transmission resource, providing high adaptability to different transmission scenarios while managing configuration complexity through automated dynamic control rather than static manual configuration.
Solution Approach 2:
The patent creates a universal resource allocation framework that can handle multiple logical channels and transmission resource types through a common processing structure. The same basic mechanism is used to allocate resources across different channel types, providing versatility and adaptability while reducing configuration complexity by avoiding the need for separate specialized handling for each channel-resource combination.
Data Source
AI summary
The disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method for transmitting information in a communication system is provided. The method includes receiving information for allocating at least two transmission resources, allocating at least two transmission resources, identifying a data unit corresponding to at least one logical channel, determining a size of the data unit, which is to be transmitted based on a size of the allocated at least two transmission resources, and transmitting data to a receiver based on the determined size of the data unit.