RRU Subnetting for Coordinated Multi-Point Transmission Latency Reduction
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Solution Overview
Problem
Current 5G mobile communications networks face challenges in meeting stringent performance requirements due to high complexity and latency in network resource allocation and signal processing, particularly with existing CoMP technology and LTE standards, which struggle to efficiently manage interference and optimize network performance in real-time.
Innovation Solution
A networking method that configures remote radio units (RRUs) into subnets based on network association relationships, using reference signal received power and clustering algorithms to reduce latency and improve overall network performance by managing resources on a per-subnet basis, thereby minimizing interference and optimizing signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all RRUs are completely coordinated to process signals for all UEs, then network coverage and service capability are improved, but device complexity and computational burden increase significantly
Solution Approach 1:
The patent segments the complete coordination of all RRUs by introducing subnetting, where RRUs are divided into multiple subnets (e.g., first subnet, second subnet) based on network association relationships. Each RRU only processes signals for UEs within its assigned subnet rather than all UEs, reducing computational burden while maintaining comprehensive coverage through the collective action of all subnets.
2Productivity
If a large scale of optimization problems is solved to maximize overall rate performance, then network throughput is improved, but time consumption increases violating real-time requirements
Solution Approach 1:
The patent divides the large-scale optimization problem into smaller sub-problems by segmenting the network into subnets. Each subnet independently performs optimization for its associated UEs, significantly reducing the computational scale and time required. The overall network throughput is achieved by aggregating the performance of individual subnets, meeting real-time requirements while maintaining high productivity.
3Adaptability or versatility
If RRU full cooperation manner is implemented to serve all UEs, then service coverage is improved, but network latency increases due to complex coordination
Solution Approach 1:
The patent reduces network latency by segmenting the full cooperation manner into subnet-based cooperation. Each RRU coordinates only with UEs in its assigned subnet, significantly reducing the coordination scope and associated latency. Service coverage is maintained through the collective service provision of all subnets, achieving both low latency and comprehensive coverage.
4Productivity
If global precoding matrix calculation is performed for each UE across all RRUs, then overall rate performance is maximized, but processing complexity and time increase
Solution Approach 1:
The patent segments the global precoding matrix calculation into local precoding matrix calculations for each subnet. Each RRU calculates a precoding matrix only for UEs in its assigned subnet, significantly reducing processing complexity. The overall rate performance is achieved by aggregating the rate improvements from individual subnet optimizations, avoiding the need for complex global calculations.
Data Source
AI summary
This application provides a networking method, a networking apparatus, a network access method, and user equipment. The networking method includes: determining a network association relationship between each remote radio unit (RRU) and each user equipment (UE) for all RRUs and all UEs managed by a baseband processing unit (BBU) resource pool, where the network association relationship includes whether the RRU is capable of providing a service for the UE, or a relationship between the UE and the RRU represented by a reference signal received power that corresponds to each RRU and that is reported by the UE; and configuring all the RRUs to M subnets based on the network association relationship between each RRU and each UE, where M≥1, and M is not greater than a quantity of all the RRUs.