MIMO Layer Distribution in Base Station Modems
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Solution Overview
Problem
The increasing complexity and cost of managing base stations in 5G communication systems due to the exponential multiplication of layers in MIMO systems, which exceeds the processing capacity of modems, leading to higher communication fees for service providers and users.
Innovation Solution
A method and apparatus for distributing MIMO layers in a base station using a central scheduler that allocates resources efficiently across multiple cells, allowing for optimized MIMO performance and increased capacity without exceeding modem processing limits, enabling adaptive service to a larger number of terminals without frequent handovers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of layers in MIMO system is increased to improve data rate, then the processing capacity of modem is exceeded, but the complexity and cost of managing base station increases
Solution Approach 1:
The patent segments the MIMO layer processing across multiple modems, where each modem handles a subset of layers. The base station includes multiple modems (first modem, second modem, etc.) that each process specific layers independently, allowing the system to support more total layers than a single modem could handle alone.
Solution Approach 2:
Each modem is designed with multi-functional capability to process different layers of the MIMO system. The modems can be dynamically allocated to handle different layer configurations based on service requirements, making the processing architecture flexible and adaptable to varying data rate demands without requiring dedicated hardware for each layer.
2Productivity
If more modems are added to increase processing capacity, then the layer distribution capability improves, but the cost of managing base station increases
Solution Approach 1:
The patent introduces a centralized layer distribution manager as an intermediary component that coordinates between multiple modems and the MIMO layers. This manager allocates layers to appropriate modems based on current system state and service requirements, simplifying the management complexity by providing a single point of control rather than requiring complex peer-to-peer coordination between modems.
Solution Approach 2:
The layer distribution architecture is designed to be dynamic, where the assignment of layers to modems can change based on real-time conditions. The system can adaptively reallocate layers between modems as traffic patterns change, modem availability changes, or service requirements evolve, allowing efficient resource utilization without permanent fixed assignments.
3Adaptability or versatility
If the number of cells serviced by base station is increased, then the network coverage improves, but the modem processing capacity is exceeded
Solution Approach 1:
The patent segments the processing of multiple cells across multiple modems, where each modem is responsible for processing layers associated with specific cells. This segmentation allows the base station to service more cells than a single modem could handle while maintaining manageable processing loads per modem.
Solution Approach 2:
The system dynamically changes the parameter of layer allocation to modems based on the number of cells that need to be serviced. When more cells require service, the layer distribution manager adjusts the allocation to distribute the processing load appropriately across available modems, effectively scaling the system's cell servicing capability.
Data Source
AI summary
Provided is a method for distributing a layer of multi-input multi-output (MIMO) system in a base station of a wireless communication system, the method including obtaining scheduling information for each of a plurality of cells, calculating a number of layers required for each cell using the obtained scheduling information and a predetermined layer metric, allocating a layer and a modem resource corresponding to the calculated the number of layers for each cell, and performing downlink scheduling using the allocated resources.