Link Adaptation for Interference-Canceling Receivers
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Solution Overview
Problem
In cellular communication networks, the mismatch between reported and actual channel quality due to interference from neighboring cells leads to suboptimal link adaptation, resulting in reduced system capacity and performance gains from interference-canceling receivers.
Innovation Solution
The method involves determining a mapping between interfering-signal transport formats and cancelation efficiencies, using actual knowledge of the transport format for neighbor-cell transmissions to estimate own-cell signal quality, and selecting the appropriate transport format for own-cell transmissions based on this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If interference-canceling receivers are deployed to improve user performance in dense networks, then interference mitigation capability is improved, but mismatch between reported and actual channel quality occurs leading to suboptimal link adaptation
Solution Approach 1:
The patent implements a feedback mechanism where the receiver measures actual channel quality after interference cancellation and feeds back this information to the transmitter. The transmitter uses this feedback to adjust link adaptation parameters, creating a closed-loop system that continuously optimizes performance based on actual channel conditions rather than relying solely on pre-cancellation quality reports.
Solution Approach 2:
The patent dynamically adjusts link adaptation parameters (such as modulation and coding scheme) based on the measured performance of interference cancellation. By monitoring actual channel quality metrics and comparing them against expected values, the system modifies transmission parameters to optimize throughput while maintaining reliability, adapting to the actual interference environment rather than assuming fixed cancellation efficiency.
2Productivity
If link adaptation is optimized for interference-canceling receivers, then throughput and system capacity are improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The patent performs interference cancellation before decoding operations, removing interfering signals from the received signal in advance. This preliminary action simplifies subsequent processing by providing cleaner input to the decoder, reducing the computational burden and complexity of the overall receiver architecture while maintaining high throughput performance.
Solution Approach 2:
The patent divides the received signal into desired signal components and interfering signal components, processing them separately through the interference cancellation mechanism. This segmentation allows the receiver to handle interference mitigation as a distinct processing stage, making the overall system more manageable and potentially enabling parallel processing implementations that reduce computational complexity.
Data Source
AI summary
Network-side and device-side methods and apparatuses improve transmit link adaptation for devices operating in a cellular network that have interference-canceling receivers. Own-cell link adaptation towards a device in a current transmission interval exploits a determined mapping between the interfering-signal cancelation efficiency of the device versus the interfering-signal transport format, in combination with actual knowledge of the transport format that will be used to make an interfering neighbor-cell transmission in the current transmission interval. For example, a serving radio node uses the known transport format of the interfering transmission, to accurately determine the expected cancelation efficiency for the device with respect to the interfering transmission, and uses the expected cancelation efficiency to obtain a more accurate estimate of the own-cell channel quality expected for the device in the current transmission interval. Link adaptation towards the device in the current transmission interval uses this more accurate estimate of own-cell channel quality.