Adaptive Reference Signaling Pattern for Massive MIMO Overhead
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Solution Overview
Problem
In massive MIMO wireless communication systems, the use of large antenna arrays leads to undesirable overhead and interference in reference signaling, making it challenging to balance estimation accuracy and overhead reduction.
Innovation Solution
Adapting the pattern of reference signaling based on beamforming and beam reception states, adjusting resource density and allocation dynamically to optimize CSI-RS transmission for both wide and narrow beams, thereby reducing overhead while maintaining estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a large number of antennas are used in massive MIMO systems, then the system capacity and coverage are improved, but the reference signaling overhead and interference increase
Solution Approach 1:
The patent segments the reference signaling transmission by dividing the antenna array into multiple groups, where each group transmits reference signals on different resource elements. This segmentation reduces the overhead by allowing selective transmission and reception of reference signals from specific antenna groups rather than all antennas simultaneously.
Solution Approach 2:
The patent applies local quality by assigning different reference signaling patterns to different spatial regions or antenna groups. Each antenna group or sector uses a locally optimized reference signaling configuration based on its specific coverage area and interference characteristics, thereby reducing overall overhead while maintaining local estimation accuracy.
2Measurement precision
If reference signaling density is increased to maintain estimation accuracy, then the measurement precision is improved, but the overhead and resource consumption increase
Solution Approach 1:
The patent implements dynamic reference signaling patterns where the density and allocation of reference signals are adaptively adjusted based on channel conditions, beamforming states, and reception requirements. This dynamic approach allows the system to maintain measurement precision when needed while reducing overhead during favorable conditions or for secondary channels.
Solution Approach 2:
The patent changes key parameters of reference signaling including time-domain density, frequency-domain density, and spatial distribution based on operational conditions. By dynamically adjusting these parameters, the system optimizes the balance between estimation accuracy and overhead reduction for different beamforming scenarios.
3Reliability
If reference signaling is transmitted with high density for all beams, then the reliability of beam selection is improved, but the resource consumption and interference increase
Solution Approach 1:
The patent segments beam-specific reference signaling into primary and secondary beam groups. Primary beams receive higher density reference signaling to ensure reliable selection, while secondary beams use reduced density patterns. This segmented approach maintains beam selection reliability for critical beams while reducing overall resource consumption.
Solution Approach 2:
The patent applies partial action by providing full-density reference signaling only for the most critical primary beams that require high reliability, while using reduced-density patterns for secondary and tertiary beams. This partial approach ensures sufficient reliability for beam selection without the excessive resource consumption of uniform high-density transmission across all beams.
Data Source
AI summary
This disclosure pertains to a network node for a wireless communication network, the network node being adapted for transmitting reference signaling utilising an antenna array, the network node further being adapted for transmitting the reference signaling in a pattern, the pattern being determined based on a beamforming state for transmitting the reference signaling and/or based on a beam reception state.The disclosure also pertains to related devices and methods.