eNodeB Base Station M2M UE Data Separation
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Solution Overview
Problem
Current machine-to-machine (M2M) communication systems require additional equipment or modifications to base stations for efficient data transmission, particularly in wireless networks, which can be costly and complex to implement.
Innovation Solution
An enhanced Node B base station design that includes separate processing units for M2M and user equipment (UE) data, utilizing RF interfaces, digital front ends, and processors to handle distinct frequency bands, allowing for efficient separation and forwarding of M2M and UE data without the need for extensive modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If base stations are modified with additional equipment to carry M2M communications, then M2M communication capability is improved, but device complexity and cost increase
Solution Approach 1:
The base station is designed to perform multiple functions by simultaneously supporting both traditional UE communications and M2M communications through a unified architecture. The eNodeB handles both types of traffic without requiring separate specialized equipment, making the base station universal and adaptable to different communication types.
Solution Approach 2:
The patent combines M2M communication handling with existing UE communication infrastructure. By merging M2M support into the standard base station architecture and using shared resources (processors, RF interfaces, antennas), the system avoids the need for separate M2M-specific equipment while maintaining both communication types.
2Productivity
If separate processing units are added for M2M and UE data, then data processing efficiency is improved, but device complexity increases
Solution Approach 1:
The base station processor is segmented into different functional units that can independently handle M2M and UE data streams. This segmentation allows parallel processing of different data types, improving efficiency while keeping each processing unit relatively simple and focused on specific tasks.
Solution Approach 2:
The patent introduces logical separation dimensions (different processing threads, memory spaces, or functional modules) rather than requiring complete physical separation. This allows efficient handling of both data types through software or logical configurations rather than adding extensive hardware complexity.
Data Source
AI summary
A base station includes an antenna to receive a first frequency band associated with first signals carrying machine-to-machine (M2M) data, and a second frequency band associated with second signals carrying user equipment (UE) data; a radio frequency interface to connect to the antenna, and configured to receive the first signals and the second signals; at least one digital front end to generate, based on the first signals, first time-aligned symbols, generate, based on the second signals, second time-aligned symbols, store the first time-aligned symbols at a first portion of a buffer, and store the second time-aligned symbols at a second portion of the buffer; and a processor to convert, based on contents stored at the first portion of the buffer, the first time-aligned symbols into the M2M data, and convert, based on contents stored at the second portion of the buffer, the second time-aligned symbols into the UE data.