Lattice Reduction Matrix Offloading for Wireless Demodulation
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Solution Overview
Problem
The calculation of lattice reduction transformation matrices in wireless communications is complex, consuming significant compute cycles and power, particularly at user equipment (UE) devices, which increases energy consumption and reduces demodulation performance.
Innovation Solution
Offloading the calculation of lattice reduction transformation matrices from user equipment (UE) to a network entity, such as a base station, which performs the channel estimate and sends the matrices to the UE for use in demodulation, thereby reducing the computational burden on the UE.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lattice reduction transformation matrix calculation is performed at the user equipment, then demodulation performance is improved, but energy consumption and compute cycles increase significantly
Solution Approach 1:
The patent extracts the computationally intensive lattice reduction transformation matrix calculation from the user equipment and relocates it to the network entity (base station). This separation allows the UE to benefit from improved demodulation performance using pre-calculated matrices while the network entity bears the computational burden, effectively resolving the contradiction between performance and energy consumption.
Solution Approach 2:
The network entity performs the lattice reduction transformation matrix calculation in advance, before the UE needs to perform demodulation. By pre-calculating and providing these matrices to the UE, the system enables high-performance demodulation without requiring the UE to execute complex calculations in real-time, thus reducing energy consumption while maintaining performance.
2Reliability
If lattice reduction transformation matrix calculation is performed at the user equipment, then demodulation performance is improved, but compute cycles and processing complexity increase
Solution Approach 1:
The patent removes the complex lattice reduction calculation functionality from the user equipment architecture and places it at the network entity. This extraction simplifies the UE's processing requirements while maintaining the ability to use advanced demodulation techniques, effectively reducing device complexity without sacrificing performance.
3Use of energy by moving object
If lattice reduction transformation matrix calculation is offloaded to network entity, then energy consumption at UE is reduced, but network entity processing load increases
Solution Approach 1:
The patent introduces a signaling mechanism as an intermediary between the network entity and UE. The network entity calculates transformation matrices, transmits them via downlink control information, and the UE applies them for demodulation. This intermediary signaling approach enables the network entity to provide computational support without requiring continuous high-power processing at the UE, balancing the power distribution in the system.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for wireless communications by an apparatus. Certain techniques include sending an indication that the apparatus is capable of supporting lattice reduction (LR) demodulation; receiving a first LR transformation matrix (to be used for demodulating a modulated signal); and receiving the modulated signal.