Adaptive Modulo Base Selection for Non-Linear Precoding
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Solution Overview
Problem
Current wireless communication systems face challenges in balancing power consumption and decoding accuracy in non-linear precoding due to the need for adaptive modulo base selection, as larger modulo bases improve decoding accuracy but increase power usage, while smaller bases reduce power consumption but increase block error rates.
Innovation Solution
Implementing adaptive modulo base selection techniques that dynamically choose the modulo base based on parameters such as signal-to-noise ratio, channel state information accuracy, and user equipment pairing to balance power consumption and decoding accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a larger modulo base is used in non-linear precoding, then decoding accuracy is improved, but power consumption increases
Solution Approach 1:
The patent applies dynamics by making the modulo base adjustable rather than fixed. The base station dynamically selects different modulo base values based on current channel conditions, signal-to-noise ratio, and traffic requirements. This allows the system to adaptively optimize the balance between decoding accuracy and power consumption according to real-time operating conditions.
Solution Approach 2:
The patent implements parameter changes by varying the modulo base value as a controllable parameter. Different modulo base values (e.g., 2, 4, 8, 16) are selected based on system requirements, enabling flexible adjustment of the trade-off between power consumption and decoding performance without changing the underlying hardware or architecture.
2Use of energy by moving object
If a smaller modulo base is used in non-linear precoding, then power consumption is reduced, but block error rate increases
Solution Approach 1:
The system dynamically adjusts the modulo base selection based on real-time channel quality indicators and signal-to-noise ratio measurements. When channel conditions are good, smaller modulo bases can be used with acceptable error rates. When conditions deteriorate, the system switches to larger modulo bases to maintain reliability, creating a dynamic adaptation to operating conditions.
Solution Approach 2:
The patent incorporates feedback mechanisms where the base station monitors decoding performance and channel conditions, then adjusts the modulo base selection accordingly. This feedback loop enables the system to learn from past performance and optimize the balance between power consumption and block error rate over time.
Data Source
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AI summary
Certain aspects of the present disclosure provide techniques for adaptive modulo base selection for non-linear precoding. Aspects provide a method for wireless communications that can be performed by a base station (BS). The BS adaptively selects a modulo base for a data stream for at least one user equipment (UE) in a transmission to one or more UEs. The BS selects the modulo base based on one or more parameters. The BS transmits a signal for at least one UE of the one or more UEs to identify the selected modulo base. The BS performs the transmission to the one or more UEs. The UE receives the transmission from the BS and the signal for the identification of the selected modulo base. Based on the signal, the UE determines the modulo base for at least one data stream in the transmission and decodes the data stream using the modulo base.