Multi-User Full Duplex Scheduling for Interference Management
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Solution Overview
Problem
Full duplex wireless communication systems face interference issues due to user-to-user and self-interference, which affect signal quality and spectral efficiency, particularly in multi-user environments where simultaneous transmission and reception on the same frequency cause interference.
Innovation Solution
A method for interference cancellation in multi-user full duplex communications involves scheduling user equipment (UE) for full duplex time periods based on base station beam indices, channel measurements, UE capabilities, and positional information to minimize interference by optimizing beamforming and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If full duplex communication is implemented to improve spectral efficiency, then spectral efficiency is improved, but interference increases due to user-to-user and self-interference
Solution Approach 1:
The system segments the communication resources by scheduling different user equipment for full duplex operations based on their spatial separation, beam indices, and channel conditions. Users are divided into groups where some perform uplink transmission while others perform downlink reception, reducing mutual interference through resource segmentation.
Solution Approach 2:
The system applies local quality optimization by selecting specific users for full duplex operations based on their individual channel conditions, beamforming capabilities, and spatial locations. Each user's full duplex participation is determined by local channel characteristics rather than uniform application across all users.
2Object-affected harmful factors
If scheduling is performed to reduce interference, then interference is reduced, but system complexity increases due to multiple parameters to track
Solution Approach 1:
The system performs preliminary actions by pre-acquiring and storing user equipment capabilities, channel measurements, beam indices, and positional information before scheduling decisions are made. This advance preparation of data reduces the complexity of real-time scheduling by having relevant information readily available.
Solution Approach 2:
The system implements feedback mechanisms where user equipment reports channel interference measurements, channel conditions, and positional information back to the base station. This feedback loop enables dynamic adjustment of scheduling decisions to optimize interference reduction while managing system complexity through information-driven control.
Data Source
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AI summary
A method for scheduling multiple users for multi-user full duplex communications in a wireless network over a wireless channel. The scheduling may be based on base station beam indices, base station channel measurements, received UE capabilities, received UE measured channel conditions and/or received UE positional information. In another embodiment, the scheduling of the UE full duplex time slots may be updated based on base station channel interference measurements, received UE measured channel interference, the received UE measured channel conditions, and/or received UE positional information updates.