Linear Transceivers for Full-Duplex MIMO Weighted Sum Rate Maximization
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Solution Overview
Problem
Full-duplex multi-user MIMO communication networks face significant challenges in mitigating self-interference and interference between uplink and downlink user devices, limiting data rate and spectral efficiency.
Innovation Solution
The implementation of a system that uses a precoder and decorrelator scheme with an optimization algorithm to select appropriate user devices and initialize iterative optimization, maximizing the weighted sum rate by solving convex sub-problems and iteratively updating precoders and decoders to minimize mean square error, while accounting for power constraints and interference mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If full-duplex MIMO protocol is used to enable simultaneous transmission and reception, then spectral efficiency and data rate are improved, but self-interference between incoming and outgoing signals deteriorates performance
Solution Approach 1:
The patent introduces an intermediary signal processing approach using a 2-stage iterative echo canceller that processes self-interference signals through multiple stages of cancellation and enhancement, effectively managing the harmful interference without sacrificing the full-duplex capability
Solution Approach 2:
The patent implements feedback mechanisms through iterative echo cancellation where the system continuously monitors and adjusts based on the interference patterns, using feedback loops to progressively reduce self-interference while maintaining spectral efficiency
2Productivity
If multi-user full-duplex communication is implemented, then network capacity is improved, but interference between uplink and downlink user devices increases
Solution Approach 1:
The patent segments the communication system into distinct uplink and downlink user sets, assigning different spatial resources and processing paths to each group, thereby reducing the interference between users while maintaining overall network capacity
Solution Approach 2:
The patent applies local quality by customizing the signal processing parameters and cancellation strategies for different user pairs based on their specific interference characteristics, optimizing performance for each local interaction while contributing to global network capacity
3Object-affected harmful factors
If existing interference cancellation approaches are used, then self-interference is reduced, but data rate and throughput remain limited
Solution Approach 1:
The patent ensures continuity of useful action by implementing continuous iterative optimization of the echo canceller parameters, continuously adapting to changing interference conditions to maintain high data rates while effectively suppressing self-interference throughout the communication process
Data Source
AI summary
Signal interference associated with multi-user multiple-input multiple-output (MIMO) full-duplex wireless communication systems is reduced. In an example, first streams are received by a MIMO base station from uplink user devices based on a first availability of channel matrices and second streams are transmitted to downlink user devices based on a second availability of the channel matrices. A weighted sum of a first data rate for a first linear transceiver matrix and a second data rate of a second linear transceiver matrix is maximized based on the channel matrices, the first streams, and the second streams. The base station generates a first linear transceiver vector used in transmission of the first streams to the base station from the uplink user devices and a second linear transceiver vector used in transmission of the second streams from the base station to the downlink user devices.