5G Downlink RB Layer Mapping for Low-Latency Precoding
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Solution Overview
Problem
In 5G communication systems, the large-scale array antennas and high-bandwidth data processing lead to significant resource waste and delay issues in channel mapping, which are not adequately addressed by existing technologies.
Innovation Solution
A method involving mapping transmission and physical information to N layers in a resource block (RB), modulating and precoding these layers to obtain RB antenna data, and sending them through N antenna ports, utilizing orthogonal frequency division multiplexing and flexible resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hardware accelerator is used to process channel mapping in 5G systems, then processing capability is improved, but resource consumption and delay increase significantly
Solution Approach 1:
The patent replaces hardware accelerator with software-based processing implementation. The channel mapping and resource allocation operations that were previously performed by dedicated hardware are now executed through software algorithms, eliminating the need for specialized hardware while maintaining processing capability.
Solution Approach 2:
The patent employs a software-based processing platform that can handle multiple communication protocols and functions (4G LTE, 5G NR, channel mapping, resource allocation) using the same general-purpose computing resources, rather than requiring separate hardware accelerators for each function.
2Speed
If hardware accelerator is used for channel mapping in 5G systems, then processing speed is improved, but processing delay increases
Solution Approach 1:
The patent substitutes hardware accelerator with software-based processing, which eliminates the setup and switching delays associated with hardware systems while maintaining adequate processing speed through efficient algorithm design and software optimization.
3Productivity
If large-scale array antennas and high-bandwidth data processing are implemented, then communication capacity is improved, but resource waste increases
Solution Approach 1:
The patent implements dynamic resource allocation where computing resources are allocated flexibly based on actual traffic demand and channel conditions. The software-based system can dynamically adjust processing intensity, allocate resources to different users and channels as needed, and release resources when not in use, preventing resource waste while supporting large-scale antenna operations.
Solution Approach 2:
The patent changes the operational parameters of the system by using software-based processing that can dynamically adjust processing depth, precision, and resource allocation based on real-time conditions, rather than being locked into fixed hardware configurations that consume resources at constant high levels.
Data Source
AI summary
The method includes: mapping determined transmission information and physical information about a downlink to N layers in a resource block (RB), so as to obtain N pieces of layer information, wherein N is a natural number greater than or equal to 1; modulating each of the N pieces of layer information to obtain N pieces of layer complex-value information; precoding each of the N pieces of layer complex-value information to obtain N pieces of RB antenna data, wherein the N pieces of RB antenna data are respectively mapped to N antenna ports; and sending the N pieces of RB antenna data.