5G Beam Adjustment for Inter-Node Interference and Coverage Holes
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Solution Overview
Problem
High-frequency radio networks in 5G scenarios face challenges such as non-uniform coverage, inter-node interference, beam blocking, and coverage holes due to the high frequency characteristics and random deployment of nodes, leading to inefficient radio network coverage.
Innovation Solution
A method and node configuration for beam adjustment that determines the need for beam adjustments based on conditions like beam overlap, blocking, or coverage holes, allowing nodes to adjust their beams or inform neighboring nodes to adjust theirs, ensuring that the relationship between beams meets preset conditions, thereby improving network uniformity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple high frequency nodes are deployed close together to cover small areas, then coverage density is improved, but beam overlap and inter-node interference increase
Solution Approach 1:
The patent applies dynamic beam adjustment where nodes continuously monitor beam conditions and dynamically change beam directions or power levels. When beam overlap or interference is detected, nodes automatically adjust their beams to avoid harmful interference while maintaining coverage, transforming static beam configurations into dynamic adaptive systems.
Solution Approach 2:
The patent implements feedback mechanisms where nodes exchange beam condition information with neighboring nodes. Through this feedback loop, nodes detect interference levels and coverage holes, then adjust their beam parameters accordingly, creating a closed-loop control system that continuously optimizes beam placement.
2Ease of manufacture
If nodes are randomly deployed to simplify deployment, then deployment ease is improved, but coverage uniformity deteriorates
Solution Approach 1:
The patent enables nodes to self-adjust and self-optimize their beam configurations without requiring precise pre-deployment positioning. Nodes autonomously detect coverage holes and interference issues, then automatically adjust their own beam parameters to achieve uniform coverage, making the system self-healing and self-optimizing.
Solution Approach 2:
The patent changes operational parameters (beam direction, power level, width) dynamically based on detected conditions. When coverage holes or interference are detected, nodes modify these parameters to achieve optimal coverage distribution, transforming random deployment into effectively uniform coverage through parameter optimization.
3Ease of operation
If beam direction is fixed to simplify node operation, then operational simplicity is improved, but coverage adaptability deteriorates
Solution Approach 1:
The patent transitions from static fixed beam directions to dynamic adjustable beams. Nodes automatically change beam directions and power levels in response to detected conditions such as obstacles, coverage holes, or interference, enabling the system to adapt to changing environmental conditions while maintaining ease of operation through automation.
Solution Approach 2:
The patent performs preliminary beam adjustments proactively before coverage issues fully develop. Nodes continuously monitor their environment and adjust beams in anticipation of potential problems, ensuring coverage adaptability is maintained without requiring complex real-time manual intervention.
Data Source
AI summary
Methods for beam adjustment are disclosed. A method includes: determining, by a first node, whether a beam adjustment is required; and when the beam adjustment is required, at least adjusting, by the first node, its beam, or informing, by the first node, a neighboring second node of adjusting the second node's beam, so that relationship between the beam of the first node and the beam of the second node meets a preset condition. There are also provided associated nodes.