Base Station Data Transmission with Dynamic Rate Adaptation
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Solution Overview
Problem
In mobile communications systems, providing efficient broadcast/multicast services is hindered by varying channel conditions among base stations, leading to inefficient use of wireless resources and degraded service quality due to the need for uniform transport formats across all cells, which does not account for differing channel environments.
Innovation Solution
A method that allows sectors within the same zone to use different transmit data rates for packet transmission based on individual channel conditions, enabling dynamic adjustment of sub-packet transmission according to the channel state of each base station, thereby optimizing data rates and ensuring reliable service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform transport formats are used across all base stations, then system complexity is reduced and ease of operation is improved, but data transmission efficiency deteriorates due to inability to adapt to varying channel conditions
Solution Approach 1:
The patent applies local quality by allowing each base station to independently select transport formats based on its specific channel conditions. Different base stations can use different transport formats (e.g., different data rates, modulation schemes) tailored to their local environment, rather than enforcing a uniform format across all base stations. This resolves the contradiction by improving data transmission efficiency through local adaptation while maintaining manageable system complexity through standardized procedures.
Solution Approach 2:
The patent implements dynamics by enabling base stations to dynamically adjust transport formats according to real-time channel conditions. The system allows flexible selection of transport formats that can change over time based on fading conditions, interference levels, and other environmental factors. This dynamic adaptation improves data transmission efficiency without significantly increasing system complexity through the use of predefined format sets.
2Productivity
If different transport formats are used by each base station according to channel conditions, then data transmission efficiency is improved, but device complexity increases due to need for multiple format configurations
Solution Approach 1:
The patent applies parameter changes by allowing base stations to select from multiple predefined transport formats with different parameters (data rates, modulation schemes, coding rates) based on channel conditions. Each base station can change these parameters dynamically to match its environment, improving data transmission efficiency. The complexity is managed by using a finite set of standardized formats rather than allowing arbitrary parameter combinations.
Solution Approach 2:
The patent implements dynamics by enabling flexible, condition-based selection of transport formats. Base stations can dynamically switch between different formats as channel conditions change, optimizing data transmission efficiency. The system manages complexity through standardized format definitions and systematic selection procedures based on channel quality metrics.
3Productivity
If higher data rates are used in good channel conditions, then productivity is improved, but reliability deteriorates when channel conditions degrade
Solution Approach 1:
The patent applies dynamics by enabling base stations to adaptively adjust data rates and transport formats based on real-time channel conditions. When channel conditions are good, higher data rates are used to improve productivity. When conditions degrade, the system dynamically switches to more robust formats with lower data rates but higher reliability, ensuring stable reception quality. This resolves the contradiction by making the system responsive to changing conditions.
Solution Approach 2:
The patent implements parameter changes by allowing flexible adjustment of transmission parameters (data rate, modulation order, coding rate) based on channel quality. The system changes these parameters dynamically to optimize the trade-off between productivity and reliability. In good conditions, parameters favor higher data rates; in poor conditions, parameters shift toward more robust transmission, ensuring reliable reception.
Data Source
AI summary
In a mobile communications system, a method of transmitting data corresponding to the same logical channel through two or more base stations, comprising: transmitting a first sub-packet generated by a first base station and a second base station based upon an encoded packet; and at a time point after the lapse of a certain time period from when the first sub-packet was transmitted, transmitting a second sub-packet generated by one of the first and second base stations based upon the encoded packet. When data corresponding to the same logical channel is broadcast from each base station that has respectively different channel environments, data transmission efficiency can be improved.