Joint Sector Processing for Interference Suppression in Wireless Networks
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Solution Overview
Problem
Current wireless communication networks face significant performance degradation due to interference between sectors in centralized systems, which is not effectively managed by traditional distributed base station architectures, even with advancements like CoMP and C-RAN.
Innovation Solution
The solution involves decoupling channel estimation and joint processing functions, allowing for the selection of users to model for channel estimation independently of joint processing sectors, and using joint equalizers to incorporate antenna data from multiple sectors for improved interference suppression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized processing of multiple sectors is implemented, then interference management capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the centralized processing system into multiple coordination clusters, where each cluster handles a specific group of sectors. This allows interference management to be distributed across multiple independent processing units rather than requiring a single complex centralized processor, thereby improving interference management capability while controlling system complexity through modular architecture.
Solution Approach 2:
The patent introduces a new dimension of processing by implementing joint equalization across multiple sectors simultaneously. Instead of processing each sector independently in time or frequency domains, the system processes multiple sectors together in a unified spatial domain, enabling better interference management through multi-dimensional signal processing while managing complexity through efficient algorithm design.
2Object-affected harmful factors
If joint processing across multiple sectors is performed, then interference suppression is improved, but computational complexity increases
Solution Approach 1:
The patent implements partial joint processing by selecting specific subsets of sectors for coordinated processing rather than processing all sectors simultaneously. The system identifies and processes only the most interfering sector combinations, achieving effective interference suppression for critical cases while avoiding the excessive computational complexity that would result from processing all possible sector combinations.
Solution Approach 2:
The patent dynamically adjusts processing parameters such as the number of sectors included in joint processing, the processing window size, and equalization complexity based on interference conditions. By changing these parameters adaptively, the system achieves effective interference suppression when needed while reducing computational complexity during low-interference periods or for less critical users.
3Measurement precision
If channel estimation is performed for all users including interfering users, then channel estimation accuracy is improved, but processing overhead increases
Solution Approach 1:
The patent applies different channel estimation strategies to different users based on their interference characteristics. For highly interfering users, the system performs comprehensive channel estimation with high accuracy. For non-interfering or low-priority users, the system uses simplified or reduced channel estimation. This localized quality approach ensures accurate channel estimation where needed while reducing processing overhead for users who don't require it.
Data Source
AI summary
Methods and systems are described for jointly processing multiple sectors in a wireless communication network. In one aspect, a first antenna serving a first sector is associated with a second antenna serving a second sector for joint processing. First and second antenna data is received. A plurality of wireless users associated with at least one of the first or second antenna data to model for channel estimation is determined, including an interfering wireless user connected via a third antenna serving a third sector not currently being jointly processed with the first or second antenna data. Channel estimates are determined for the plurality of wireless users. The first and second antenna data is jointly processed. Interference from the wireless user connected via a third antenna is suppressed based on a determined corresponding channel estimate for the wireless user and other received information for the wireless user.