Interference Leakage Sharing for MU-MIMO Link Adaptation
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Solution Overview
Problem
Current wireless communication systems face challenges in managing interference, particularly in ultra-dense networks, where user nodes experience significant interference from multiple access nodes, leading to reduced data rates and inefficient link adaptation due to high energy requirements and control-channel overhead in existing feedback-based solutions.
Innovation Solution
Sharing key interference information between neighboring access nodes or clusters allows for predicting and mitigating inter-cluster/inter-cell interference, enabling accurate modulation and coding scheme determination and joint link adaptation with reduced data exchange requirements, particularly in Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If feedback-based interference management is used, then interference mitigation capability is improved, but energy consumption and control-channel overhead increase significantly
Solution Approach 1:
The patent extracts only the essential interference information (interference indicators) from the full channel state information feedback, transmitting only this extracted subset to the network side. This reduces the feedback overhead and energy consumption while maintaining the core interference mitigation capability.
Solution Approach 2:
Instead of implementing complete channel state information feedback, the patent applies partial action by transmitting only the necessary interference indicators. This partial feedback approach achieves sufficient interference management performance while significantly reducing the energy and overhead costs associated with full feedback.
2Measurement precision
If complete channel state information is fed back, then link adaptation accuracy is improved, but control-channel overhead and energy consumption increase
Solution Approach 1:
The patent extracts only the critical interference indicators from the complete channel state information, separating the essential interference data from the full CSI. This extraction enables accurate link adaptation based on interference conditions without the overhead of transmitting complete channel state information.
3Object-affected harmful factors
If interference information is shared between all neighboring access nodes, then inter-cluster interference mitigation is improved, but data exchange requirements and system complexity increase
Solution Approach 1:
The patent applies local quality by having each access node transmit interference indicators only to its immediate neighboring access nodes, rather than to all nodes in the network. This localized information exchange reduces the overall system complexity and data exchange requirements while still enabling effective inter-cluster interference mitigation through coordinated beamforming.
Data Source
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AI summary
The invention relates to a control entity (101, 201, 301, 401, 501) for connecting to at least a first access node (ANd1) and at least a second access node (ANd2, ANd3, ANd4). The control entity is configured to instruct the second access node (ANd2, ANd3, ANd4) to share an interference leakage towards users, to instruct the first access node (ANd1) to calculate a SINR value based on the interference leakage from the second access node (ANd2, ANd3, ANd4); and to instruct the first access node (ANd1) to choose a modulation and coding scheme, MCS, for each user based on the SINR of the second access node (ANd2, ANd3, ANd4).