Inter-gNB CLI Sensing for Dynamic TDD Scheduling
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, face challenges in effectively mitigating crosslink interference (CLI) which affects the performance of multiple-access technologies.
Innovation Solution
Implementing a sensing-based approach at user equipment (UE) and network entities to detect and manage crosslink interference by performing sensing operations on uplink (UL) and downlink (DL) transmissions, utilizing dynamic time division duplexing and full-duplex techniques to optimize scheduling and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic TDD or full-duplex techniques are used to increase spectrum efficiency and throughput, then productivity is improved, but crosslink interference increases and reliability deteriorates
Solution Approach 1:
The system performs sensing operations to detect upcoming UL transmissions from neighbor UEs before initiating DL transmissions. This preliminary detection allows the network entity to anticipate potential CLI and take preventive actions, such as adjusting scheduling decisions or applying interference mitigation techniques, thereby maintaining reliability while utilizing dynamic TDD or full-duplex modes for improved productivity
Solution Approach 2:
The system implements a feedback mechanism where sensing results about neighbor UL transmissions are reported back to the network entity. This feedback loop enables real-time adjustments to DL transmission scheduling and interference mitigation strategies, allowing the system to dynamically balance between maximizing spectrum efficiency and maintaining signal quality by resolving the contradiction between productivity improvement and reliability maintenance
2Reliability
If sensing operations are performed to detect CLI, then reliability is improved, but device complexity increases
Solution Approach 1:
The network entity acts as an intermediary that centralizes the sensing operations for detecting CLI. Instead of requiring each UE to perform complex sensing and analysis, the network entity receives sensing information from UEs and performs the interference detection and mitigation decision-making. This approach improves reliability through centralized sensing while reducing the complexity burden on individual UEs, as the sensing functionality is distributed and coordinated by the network
Data Source
AI summary
Apparatus, methods, and computer program products for CLI mitigation are provided. An example method may include receiving scheduling information for one or more UL transmissions associated with one or more neighbor UEs and a second network entity. The example method may further include performing one or more actions based on a sensing operation for the one or more UL transmissions.