MU-MIMO Receiver Interference Direction Estimation
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Solution Overview
Problem
In MU-MIMO systems, user equipment (UE) faces challenges in decoding signals due to unknown interference directions, leading to limited performance at high signal-to-noise ratios, especially when conventional maximum ratio combining is used, and feeding back interference information increases overhead, which is not feasible with higher order systems.
Innovation Solution
The UE determines and estimates possible interference directions based on its own precoding matrix index, allowing for minimal mean square error (MMSE) receive combining without receiving interfering directions or precoding matrix indices from other UEs, enabling improved performance and network efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If maximum ratio combining is used for signal reception, then the system is simple to implement, but decoding performance is limited at high signal-to-noise ratios due to unknown interference directions
Solution Approach 1:
The UE independently determines possible interference directions by using its own precoding matrix index, without requiring interference information from other UEs or the base station. This self-service approach enables the UE to perform MMSE receive combining autonomously, resolving the contradiction between implementation simplicity and decoding performance by eliminating the need for complex interference information feedback mechanisms.
2Reliability
If interference information is fed back from UEs to improve decoding performance, then signal decoding accuracy improves, but system overhead increases which is not feasible with higher order systems
Solution Approach 1:
The invention extracts only the essential information needed for interference mitigation by having each UE determine possible interference directions based on its own precoding matrix index. This extracted information is sufficient for MMSE receive combining without requiring complete interference information from all other UEs, thereby achieving improved decoding accuracy while minimizing system overhead.
Solution Approach 2:
Each UE independently determines its own possible interference directions using its precoding matrix index, eliminating the need for inter-UE interference information feedback. This self-service mechanism resolves the contradiction by enabling accurate signal decoding without increasing system overhead, as each UE autonomously generates the interference direction information it needs.
3Ease of operation
If MMSE receive combining is implemented without knowing interference directions, then implementation remains simple, but performance is suboptimal compared to knowing interference directions
Solution Approach 1:
The UE performs preliminary determination of possible interference directions based on its precoding matrix index before executing MMSE receive combining. This preliminary action provides the necessary interference direction information locally, enabling optimal MMSE combining performance while maintaining implementation simplicity by avoiding complex real-time interference information exchange.
Solution Approach 2:
The UE generates its own possible interference direction information autonomously using its precoding matrix index, eliminating dependency on external interference information sources. This self-service approach achieves optimal MMSE receive combining performance while keeping implementation simple, as the UE independently prepares all necessary information for effective interference mitigation.
Data Source
AI summary
Some of the embodiments of the present disclosure provide a method within a wireless communication network, the method comprising, receiving by a user equipment (UE), a signal and interference component, wherein the interference component was transmitted in an unknown direction; and decoding, by the UE, the signal based at least in part on the interference component. Other embodiments are also described and claimed.