Antenna Grouping for MIMO Data Throughput Optimization
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Solution Overview
Problem
Existing transmission systems using multiple antennas do not efficiently utilize antenna combinations, leading to underutilization and inefficiency due to fixed antenna configurations and lack of consideration for signal strengths, resulting in suboptimal data throughput.
Innovation Solution
A method that involves receiving feedback information to group antennas based on weight values and channel status, selecting combinations for maximum data throughput, and applying these weight values to transmit data streams through optimized antenna groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed antenna configuration is used for transmitting data streams, then the system structure is simple and easy to implement, but the data throughput is suboptimal due to underutilization of antennas with strong signal strength and overuse of antennas with weak signal strength
Solution Approach 1:
The patent implements dynamic antenna configuration by allowing the antenna system to adaptively change its configuration based on real-time channel conditions. The receiving end evaluates channel quality indicators for different antenna combinations and feeds back this information, enabling the transmitting end to dynamically select the optimal antenna configuration for each transmission, thereby resolving the contradiction between fixed simplicity and dynamic optimality
Solution Approach 2:
The system changes the operational parameters of the antenna system by adjusting which antennas are active and how they are configured based on channel conditions. By modifying the antenna configuration parameters dynamically rather than maintaining a fixed setup, the system achieves higher data throughput while managing complexity through parameter adaptation
2Productivity
If data is transmitted through all antennas regardless of signal strength, then the system structure is simple, but transmission efficiency deteriorates due to inefficient use of weak signal antennas causing delays and resource wastage
Solution Approach 1:
The patent applies local quality by assigning different roles to different antennas based on their individual channel conditions. Instead of treating all antennas uniformly, the system identifies and utilizes antennas with strong signal strength for active data transmission while reducing or eliminating usage of antennas with weak signal strength, thereby achieving efficient local resource allocation that improves overall transmission efficiency
Solution Approach 2:
The system implements feedback mechanisms where the receiving end evaluates channel quality indicators for each antenna and antenna combination, then feeds this information back to the transmitting end. This feedback enables the transmitting end to make informed decisions about which antennas to use and how to configure them, improving transmission efficiency while maintaining operational simplicity through automated decision-making
3Productivity
If antenna combinations are not optimized based on channel status, then the system operation is simple, but data throughput is reduced due to inability to select combinations providing maximum throughput
Solution Approach 1:
The patent employs feedback mechanisms where the receiving end continuously monitors channel quality indicators for different antenna combinations and feeds this information back to the transmitting end. This automated feedback loop enables the system to identify and select the antenna combination that provides maximum data throughput without manual intervention, resolving the contradiction between automation complexity and throughput optimization
Solution Approach 2:
The system implements self-service by enabling the transmitting and receiving ends to automatically evaluate channel conditions and select optimal antenna combinations without external control. The system serves itself by using its own channel measurements to make intelligent antenna selection decisions, achieving high throughput while minimizing the need for external automation control
Data Source
AI summary
A method and system for transmitting and receiving data using a plurality of antennas are disclosed. The method of transmitting includes the steps of receiving feedback information from a receiving end, the feedback information including group selection information and weight values for the plurality of antennas, grouping the plurality of antennas into a plurality of antenna groups based on the group selection information included in the feedback information, and transmitting, to a receiving end, a plurality of data streams through the plurality of antenna groups, respectively, based on the weight values.