Transmit Channel Initial Phase Correction in MIMO Systems
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Solution Overview
Problem
Existing communication systems face challenges in accurately correcting the initial phase of transmit channels in MIMO systems without altering the base station's structure, leading to significant initial phase errors due to the impact of feeders, which requires additional hardware changes and costs.
Innovation Solution
A method that involves obtaining downlink channel weight matrices from user equipment, calculating initial phase difference matrices based on polarization directions, and using a cell initial phase difference matrix for phase correction, thereby accounting for feeder impacts without altering the base station's hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the coupling unit is disposed at the antenna unit to avoid feeder impact on initial phase, then initial phase correction accuracy is improved, but base station structure complexity increases and hardware costs increase
Solution Approach 1:
The patent replaces the mechanical/physical solution of moving the coupling unit with an electronic/software solution. By using digital signal processing and calculation algorithms to compensate for feeder-induced phase errors, the system achieves initial phase correction accuracy without physically relocating hardware components, thus avoiding increased structural complexity and hardware costs.
Solution Approach 2:
The patent changes the approach from physical reconfiguration to parameter-based correction. By measuring the actual phase errors introduced by feeders and applying correction parameters through signal processing, the system achieves accurate initial phase correction while maintaining the original base station structure.
2Measurement precision
If the coupling unit is disposed at the antenna unit to avoid feeder impact on initial phase, then initial phase correction accuracy is improved, but hardware costs increase
Solution Approach 1:
The patent substitutes expensive hardware reconfiguration with cost-effective digital signal processing. By using software-based correction algorithms to compensate for feeder phase effects, the system achieves high initial phase correction accuracy without incurring additional hardware costs associated with relocating the coupling unit to the antenna unit.
Solution Approach 2:
The patent employs computationally inexpensive correction algorithms that can be implemented through software rather than expensive hardware modifications. The correction parameters are calculated and applied through processing, avoiding the need for costly physical changes to the base station architecture.
3Ease of operation
If correction is performed at the coupling unit using customized correction sequence, then amplitude and delay correction are achieved, but initial phase correction accuracy deteriorates due to feeder impact
Solution Approach 1:
The patent introduces a feedback mechanism where the actual phase errors caused by feeders are measured and then used to generate correction parameters. By continuously monitoring and compensating for feeder-induced phase variations, the system achieves accurate initial phase correction while maintaining ease of operation through automated correction processes.
Solution Approach 2:
The patent performs preliminary measurement of feeder phase characteristics and pre-calculates correction parameters before actual signal transmission. By anticipating and compensating for feeder phase effects in advance, the system achieves high initial phase correction accuracy without complicating the operational process.
Data Source
AI summary
An apparatus: obtains K downlink channel weight matrices based on K pieces of downlink channel information sent by K UEs, where the downlink channel information is fed back by the UE in response to a preset reference signal sent by the base station, the downlink channel weight matrix is an NT×rank-dimensional matrix, and rank is a quantity of signal streams received by the UE; obtains K×rank first initial phase difference matrices and K×rank second initial phase difference matrices based on the K downlink channel weight matrices and a first polarization direction and a second polarization direction of transmit channels of the base station; obtains a cell initial phase difference matrix based on the K×rank first initial phase difference matrices and the K×rank second initial phase difference matrices; and implements initial phase correction of the transmit channels based on the cell initial phase difference matrix.