MIMO Antenna Configuration Selection for Throughput and Power Trade-offs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
MIMO wireless systems face challenges in dynamically adapting the number of transmitting antennas in response to changes in spatial richness, which affects transmission rates, interference, latency, and power consumption, especially in mobile environments.
Innovation Solution
A method that determines the signal-to-interference-and-noise ratio (SINR) for each antenna configuration based on estimated channel characteristics, selects the optimal antenna configuration and transmission mode parameters such as encoding rate and modulation order, using look-up tables to maximize throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of transmitting antennas is increased to improve transmission rate, then throughput increases, but power consumption increases and interference increases
Solution Approach 1:
The patent implements dynamic adaptation of the number of transmitting antennas based on real-time channel conditions. The system transitions from a static antenna configuration to a dynamic one where the number of active antennas is adjusted according to spatial richness measurements, thereby optimizing the balance between transmission rate and power consumption in mobile environments.
Solution Approach 2:
The patent changes the operational parameters of the MIMO system by adjusting the number of active transmitting antennas based on measured channel characteristics. This parameter adaptation allows the system to optimize performance metrics including throughput, power consumption, and interference levels by selecting appropriate antenna configurations for different spatial richness conditions.
2Productivity
If the number of transmitting antennas is increased to improve transmission rate, then throughput increases, but interference among sub-signals increases
Solution Approach 1:
The system dynamically adjusts the number of active transmitting antennas based on real-time spatial richness measurements. When spatial richness is low, fewer antennas are activated to reduce interference among sub-signals. When spatial richness is high, more antennas can be used to increase throughput without excessive interference, thereby dynamically optimizing the trade-off between throughput and interference.
Solution Approach 2:
The patent changes the operational parameter of antenna configuration based on channel conditions. By adjusting the number of active transmitting antennas according to measured spatial richness, the system optimizes the balance between maximizing throughput and minimizing interference among sub-signals in different environmental conditions.
3Use of energy by moving object
If the number of transmitting antennas is decreased to reduce power consumption, then energy efficiency improves, but transmission rate decreases
Solution Approach 1:
The patent implements dynamic adaptation where the number of active transmitting antennas is adjusted based on real-time spatial richness measurements. This dynamic approach allows the system to reduce power consumption by using fewer antennas when spatial richness is low, while maintaining acceptable transmission rates by using more antennas when spatial richness is high, thereby optimizing energy efficiency across varying conditions.
4Adaptability or versatility
If the number of transmitting antennas is dynamically adjusted, then adaptability to environment improves, but device complexity increases
Solution Approach 1:
The patent implements dynamic adaptation of the number of transmitting antennas based on real-time spatial richness measurements. This dynamic approach enables the system to adapt to changing environmental conditions in mobile environments, improving versatility and performance optimization while managing the complexity through systematic measurement and adjustment protocols.
Data Source
AI summary
In an embodiment of the method, at least one signal-to-interference-and-noise ratio (SINR) for each antenna configuration in a set of transmission antenna configurations is determined based on an estimated channel characteristic. At least one received signal characteristic is determined for each antenna configuration in the set of antenna configurations based on the determined signal-to-interference-and-noise ratios. One of the antenna configurations in the set of antenna configurations is selected based on the determined received signal characteristics.


