Base Station Scheduling for Moving and Unmoving Terminals
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Solution Overview
Problem
Current communication systems in ultra high-density distributed antenna systems fail to maintain high-speed and high-capacity communications due to the lack of consideration for the movement/stillness of user terminals during channel estimation, leading to deterioration in communication characteristics.
Innovation Solution
A base station with radio transceivers and a control circuit that groups user terminals based on over-time variations in received power, performing scheduling for signal-transmission-target user terminals to differentiate between moving and unmoving terminals, thereby optimizing signal transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If channel estimation is performed for scheduling without taking into consideration the movement/stillness of user terminals, then the scheduling process is simple, but communication characteristics deteriorate due to propagation channel variations caused by terminal movement
Solution Approach 1:
The patent segments user terminals into two distinct groups: moving terminals and unmoving terminals. This segmentation is based on detecting terminal movement status and applying different channel estimation methods to each group. Moving terminals use one type of channel estimation while unmoving terminals use another, allowing the system to optimize for each category's specific characteristics rather than using a single approach for all terminals.
Solution Approach 2:
The patent implements dynamic adaptation by adjusting channel estimation methods based on terminal movement status. The system dynamically determines whether a terminal is moving or unmoving and switches between different channel estimation approaches accordingly. This dynamic approach allows the scheduling process to adapt to changing channel conditions while maintaining communication reliability.
2Ease of operation
If channel estimation is performed for scheduling without taking into consideration the movement/stillness of user terminals, then the system is easy to operate, but high-speed and high-capacity communications cannot be achieved due to propagation channel variations
Solution Approach 1:
The patent segments user terminals into two distinct groups: moving terminals and unmoving terminals. This segmentation is based on detecting terminal movement status and applying different channel estimation methods to each group. Moving terminals use one type of channel estimation while unmoving terminals use another, allowing the system to optimize for each category's specific characteristics rather than using a single approach for all terminals.
Solution Approach 2:
The patent changes the channel estimation parameters and methods based on terminal movement status. For moving terminals, the system applies channel estimation techniques suitable for varying propagation conditions, while for unmoving terminals, it uses methods optimized for stable channels. This parameter adaptation enables high-speed and high-capacity communications by matching the estimation accuracy to the actual channel conditions.
3Device complexity
If channel estimation is performed for scheduling without taking into consideration the movement/stillness of user terminals, then the scheduling algorithm is simple, but MIMO transmission characteristics deteriorate due to terminal movement
Solution Approach 1:
The patent segments user terminals into two distinct groups: moving terminals and unmoving terminals. This segmentation is based on detecting terminal movement status and applying different channel estimation methods to each group. Moving terminals use one type of channel estimation while unmoving terminals use another, allowing the system to optimize for each category's specific characteristics rather than using a single approach for all terminals.
Solution Approach 2:
The patent changes the channel estimation parameters and methods based on terminal movement status. For moving terminals, the system applies channel estimation techniques suitable for varying propagation conditions, while for unmoving terminals, it uses methods optimized for stable channels. This parameter adaptation enables high-speed and high-capacity communications by matching the estimation accuracy to the actual channel conditions.
Data Source
AI summary
Deterioration in communication characteristics is prevented by performing scheduling in which movement/stillness of user terminals is taken into consideration. Received-power measurement section 103 measures the power of a reference signal from each of the user terminals. Movement/stillness determination section 104 determines whether each of the user terminals is a moving terminal or an unmoving terminal based on over-time variations in received power at transmission points for each of the user terminals. Group selection section 105 groups the user terminals into a moving terminal group and an unmoving terminal group, and selects one of the groups as a signal-transmission target. Transmission control section 108 performs open-loop signal processing without precoding when the moving terminal group is selected, or performs closed-loop signal processing with precoding when the unmoving terminal group is selected.