Logical Slice Encoding for Reliable Microwave Transmission
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Solution Overview
Problem
Conventional microwave air interfaces in 5G scenarios fail to meet the diverse latency and bandwidth requirements of different applications due to unified data transmission, limiting the applicability of microwave communication.
Innovation Solution
Implement slicing processing to obtain logical slices, configure independent air interface resources based on slice types, and encode physical slices to meet specific transmission conditions, using methods like RS encoding and LDPC encoding to generate encoded data that meets the data transmission preconditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a unified microwave air interface is used for all data streams, then the system structure is simple and easy to operate, but differentiated latency and bandwidth requirements of different applications cannot be met
Solution Approach 1:
The unified microwave air interface is segmented into multiple logical slices, each capable of independently handling different types of data streams with different QoS requirements. This segmentation allows the system to maintain the simplicity of a unified interface while providing differentiated service through separate logical channels within the air interface.
2Device complexity
If data streams are transmitted using a unified rule, then the air interface resource allocation is simple, but data transmission latency and bandwidth are the same for all applications
Solution Approach 1:
Different resource allocation strategies are applied to different logical slices based on their specific requirements. For example, URLLC traffic may receive priority scheduling with guaranteed low latency, while eMBB traffic may utilize larger bandwidth allocations. This local quality approach allows optimized resource allocation for each service type without requiring complete redesign of the overall resource management system.
3Adaptability or versatility
If independent air interface resources are configured for different logical slices, then differentiated latency and bandwidth requirements can be met, but the system complexity increases
Solution Approach 1:
The system dynamically adjusts resource allocation and scheduling parameters based on real-time traffic conditions and QoS requirements. Resource blocks, modulation schemes, and coding rates are adaptively modified for different logical slices according to their current needs, allowing the system to maintain high adaptability while using standardized configuration procedures that limit complexity growth.
Data Source
AI summary
A microwave data processing method, apparatus, and a device. A logical slice is obtained by slicing a microwave data stream, and an independent air interface resource is allocated to the logical slice, so that different logical slices are independent of each other, and then different logical slices are correspondingly encoded, so that encoded data that meets different transmission conditions is generated for different types of logical slices, thereby improving reliability of microwave data transmission, and increasing application scenarios of microwave data transmission.