SRS Precoding Using Interference Estimation for mmWave Channel Capacity
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Solution Overview
Problem
Existing 5G communication systems face challenges in managing interference signals, particularly in the mmWave band, which affect the downlink channel capacity and propagation range, necessitating improved methods for generating and transmitting sounding reference signals (SRS) to enhance communication efficiency.
Innovation Solution
An electronic device generates a precoding matrix based on interference estimation, using an interference estimation circuit to detect interference signals and a precoding matrix calculation circuit to generate an SRS precoding matrix, which is applied to the transmission signal to optimize SRS transmission to a base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If beamforming and massive MIMO techniques are used to increase propagation range in mmWave band, then propagation range is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary interference estimation and precoding matrix calculation before SRS transmission. The terminal device estimates interference signals and calculates precoding matrices in advance, allowing the base station to perform accurate downlink channel estimation without requiring complex real-time processing during data transmission
Solution Approach 2:
The sounding reference signal (SRS) acts as an intermediary to transfer channel state information from terminal to base station. By using SRS with precoding matrices, the system enables the base station to estimate downlink channels indirectly through uplink transmissions, reducing the need for complex direct downlink measurement mechanisms
2Measurement precision
If interference estimation is performed to improve downlink channel capacity, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The terminal device performs self-service by autonomously estimating interference signals and calculating precoding matrices based on received signals. This eliminates the need for the base station to implement complex interference estimation algorithms, distributing the processing burden to the terminal while maintaining high measurement precision
Solution Approach 2:
The system implements feedback through SRS transmission, where the terminal sends precoded reference signals that contain channel state information. The base station uses these feedback signals to estimate downlink channels accurately, creating a closed-loop system that improves measurement precision without requiring complex open-loop mechanisms
Data Source
AI summary
An electronic device including a communication circuit configured to receive a reception signal including an interference signal, and to transmit a sounding reference signal (SRS) to a base station; and a control circuit comprising an interference estimation circuit configured to detect the interference signal in the reception signal, and a precoding matrix calculation circuit configured to generate an SRS precoding matrix corresponding to the SRS, based on a detection result obtained by the interference estimation circuit, wherein the control circuit is configured to control the communication circuit to transmit the SRS to the base station, and wherein the SRS is generated by multiplying a transmission signal by the SRS precoding matrix.