Wireless Interference Coordination via Spatial Spectrum Analysis
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Solution Overview
Problem
Current wireless communication systems face challenges in interference coordination between small base stations and macro base stations, particularly in estimating the arrival angles of signals from specific user terminals, which leads to mutual interference and suboptimal communication performance.
Innovation Solution
A method and device for determining arrival angles of signals from user terminals using a two-layer MIMO structure, comprising a smart antenna layer and a MIMO layer, to selectively serve user terminals and suppress interference, employing techniques like ESPRIT for angle estimation and modified LCMV criteria for weight vector determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional arrival angle estimation techniques (MUSIC, ESPRIT) are used, then the arrival angle of all signals can be estimated, but the arrival angle corresponding to the signal of each specific user terminal cannot be obtained
Solution Approach 1:
The patent segments the signal processing task by separating served user terminals from interference user terminals through spatial spectrum analysis. The antenna array's spatial spectrum is divided into different regions, with served users identified in one region and interference users in another, allowing selective processing and beamforming for each segment.
Solution Approach 2:
The patent introduces spatial spectrum as an intermediary to bridge the gap between conventional arrival angle estimation and user-specific identification. By analyzing the spatial spectrum characteristics, the system can identify which users are served and which are interference users, enabling selective beamforming without losing user terminal information.
2Reliability
If interference coordination is performed by suppressing interference user signals, then communication quality of served users is improved, but the system cannot distinguish between served and interference user terminals using conventional techniques
Solution Approach 1:
The patent segments users into served user terminals and interference user terminals based on spatial spectrum analysis. This segmentation enables the base station to apply different beamforming strategies: enhancing signals from served users while suppressing signals from interference users, thereby improving communication quality without losing user differentiation information.
Solution Approach 2:
The patent applies local quality by creating direction-dependent signal processing characteristics. Beamforming weights are locally optimized for each user's direction of arrival, with constructive beamforming for served users and destructive beamforming for interference users. This local optimization enables simultaneous improvement of served user quality while suppressing interference.
3Object-affected harmful factors
If frequency domain, time domain, or power control methods are used for interference coordination, then interference is reduced, but other aspects of system performance are compromised
Solution Approach 1:
The patent moves interference coordination from traditional frequency, time, and power domains to the spatial dimension. By utilizing the spatial domain through antenna arrays and beamforming, the system can suppress interference and maintain throughput simultaneously, avoiding the trade-offs inherent in frequency, time, and power domain methods.
Solution Approach 2:
The patent changes the parameter space for interference coordination by introducing spatial parameters (arrival angles, beamforming weights) rather than relying on frequency allocation, time scheduling, or power control adjustments. This parameter transformation enables interference suppression without sacrificing system throughput.
Data Source
AI summary
The present invention provides a method and device for performing interference coordination in a wireless communication system. The wireless communication system comprises a plurality of user terminals. The method comprises: determining, according information acquired from user terminals, arrival angles of signals sent by the user terminals; and selecting a user terminal that needs a service according to the arrival angles of the signals sent by the user terminals.