CoMP Resource Allocation via Node Segmentation
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Solution Overview
Problem
Current CoMP transmission technologies face complexity due to varying backhaul link performance and node statuses within the same CoMP cluster, making specific implementation challenging.
Innovation Solution
A method for CoMP-based resource allocation where nodes within a cluster select and transmit CoMP hypotheses based on measurement information, allowing for more suitable resource allocation and enhanced transmission performance by considering dimensional conditions and status information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If coordinated transmission is implemented across all nodes in a CoMP cluster, then transmission performance should improve, but system complexity increases due to varying backhaul link performance and node statuses
Solution Approach 1:
The patent segments the CoMP cluster into different types of nodes based on their capabilities and statuses. Type 1 nodes have ideal backhaul links and can perform full coordinated transmission, while Type 2 nodes have non-ideal backhaul links and perform limited coordinated transmission. This segmentation allows each node to operate according to its capabilities, improving overall system reliability while managing complexity through differentiated roles.
Solution Approach 2:
The patent applies local quality by allowing different nodes within the same CoMP cluster to have different transmission characteristics. Type 1 nodes transmit with full coordination capabilities, while Type 2 nodes transmit with restricted capabilities due to backhaul constraints. This local differentiation optimizes performance for each node's specific conditions rather than forcing uniform behavior across the cluster.
2Productivity
If resource allocation is optimized for each node's specific status, then transmission efficiency improves, but the resource allocation process becomes more complex
Solution Approach 1:
The patent changes key parameters including node classification (Type 1/Type 2), resource allocation strategies, and transmission modes based on backhaul link performance and node status. By dynamically adjusting these parameters according to measured conditions, the system achieves efficient resource allocation while managing complexity through structured parameter differentiation rather than ad-hoc optimization.
3Measurement precision
If CoMP hypotheses are selected based on detailed measurement information, then transmission accuracy improves, but the selection process and feedback overhead increase
Solution Approach 1:
The patent applies partial action by having Type 2 nodes with non-ideal backhaul links provide limited measurement information and receive restricted resource allocations compared to Type 1 nodes. This partial information exchange reduces feedback overhead and processing time while still achieving acceptable transmission accuracy for nodes with backhaul constraints.
Data Source
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AI summary
The present invention provides a method, in a first node, for performing Co MP-based resource allocation for a second node, the method comprising steps of: a. selecting at least one Co MP hypothesis from among a plurality of Co MP hypotheses based on measurement information reported by the second node; b. transmitting a resource allocation request to the second node; c. receiving feedback information from the second node with response to the resource allocation request, and performing a corresponding operation. According to the method of the present embodiment, the CoMP transmission performance can be enhanced, and the second node has more freedom to select a CoMP hypothesis more suitable for the second node based on its own status.