Hybrid D-MIMO Signal Processing with Segmented Fronthaul
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Solution Overview
Problem
Current distributed multiple-input multiple-output (D-MIMO) systems face challenges in achieving high performance while maintaining scalable fronthaul capacity and low node processing complexity, with fully centralized processing being expensive and sequential decoding algorithms performing poorly with small antenna elements.
Innovation Solution
Implementing a hybrid processing scheme that assigns a group of cooperating access points to each User Equipment (UE) for phase-coherent signal processing and sequential signal routing, allowing for improved interference suppression and reduced fronthaul requirements, with a segmented fronthaul structure connecting access points to a processing node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fully centralized processing is implemented in D-MIMO systems, then processing performance is improved, but fronthaul capacity requirements and node processing complexity increase significantly
Solution Approach 1:
The patent segments the centralized processing function into distributed processing units located at different access points. Each access point performs local signal processing and forwarding operations, dividing the monolithic centralized processing task into smaller, distributed segments that reduce fronthaul capacity requirements and individual node complexity while maintaining overall system performance
Solution Approach 2:
The patent introduces a hierarchical processing dimension with multiple forwarding levels (first access points forwarding to second access points, which then forward to the processing node). This multi-dimensional forwarding architecture distributes the processing load across different levels and locations, reducing the burden on any single fronthaul link or processing node while achieving performance comparable to fully centralized processing
2Ease of manufacture
If the number of antenna elements per access point is reduced for cost efficiency, then deployment cost decreases, but signal processing performance deteriorates
Solution Approach 1:
The patent combines signals from multiple access points with fewer antenna elements each, processing them together in a coordinated manner. By merging the signal processing functions across multiple nodes, the system achieves performance comparable to systems with more antennas at each individual access point, while reducing the cost and complexity of each individual node
Solution Approach 2:
The patent segments the antenna function across multiple access points rather than concentrating all antennas at a single location. Each access point has fewer antenna elements, but the collective antenna array across all access points provides the necessary processing performance through distributed signal processing and coherent combining
3Device complexity
If sequential decoding algorithms are used to simplify processing, then node processing complexity is reduced, but processing performance deteriorates
Solution Approach 1:
The patent segments the decoding process into sequential stages performed at different locations in the hierarchy. First access points perform initial signal processing and forwarding, second access points perform intermediate processing, and the central processing node performs final decoding. This segmentation allows each node to use simpler algorithms appropriate to its level, while the combined sequential process achieves performance comparable to more complex algorithms at a single node
Data Source
AI summary
Methods and apparatus are provided. In an example aspect, a method in a first access point (AP) of processing signals from at least one User Equipment (UE) is provided. The method includes receiving, for each of at least one other access point, information based on signals received at one or more antennas of the other access point from the at least one UE, processing the information based on the signals received at the one or more antennas of the at least one other access point to determine symbol estimates of symbols in the signals, and forwarding information identifying the symbol estimates to a processing node.