Virtual Antenna Cycling for MIMO Channel Quality Estimation
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Solution Overview
Problem
In wireless communication systems, using multiple transmit antennas for data transmission requires estimating the full channel response for each antenna pair, which consumes significant resources and increases processing overhead, reducing the efficiency of data transmission.
Innovation Solution
The method involves obtaining pilots from a base station, identifying virtual antennas, computing channel quality information (CQI) for each supported layer by cycling through these virtual antennas, and sending the CQI data to the base station for data transmission scheduling, allowing for efficient data transmission by cycling across supported virtual antennas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full channel response estimation is performed for all antenna pairs, then data transmission reliability is improved, but processing overhead and resource consumption increase significantly
Solution Approach 1:
The patent segments the channel estimation process by introducing virtual antennas that represent combinations of physical antennas. Instead of estimating all T*R channel responses individually, the system estimates channel responses for virtual antennas, reducing the total number of estimation operations while maintaining sufficient reliability for data transmission.
Solution Approach 2:
The patent creates virtual antennas as copies or representations of physical antenna combinations. These virtual antennas replicate the channel characteristics of multiple physical antenna pairs without requiring separate estimation for each pair, thereby reducing processing overhead while preserving the necessary channel quality information.
2Reliability
If full channel response estimation is performed for all antenna pairs, then transmission reliability is improved, but link resources for data transmission are reduced
Solution Approach 1:
The patent applies partial action by estimating channel responses only for virtual antennas rather than all physical antenna pairs. This partial estimation approach provides sufficient channel quality information for reliable data transmission while consuming fewer link resources, thereby improving overall data transmission efficiency.
Solution Approach 2:
By using virtual antennas as copies of physical antenna combinations, the system obtains channel quality information more efficiently. The virtual antenna representations allow the system to maintain transmission reliability through adequate channel estimation while reducing the resources consumed for estimation, thus improving productivity.
3Productivity
If multiple transmit antennas are used for data transmission, then system throughput is improved, but channel estimation resources are consumed
Solution Approach 1:
The patent segments the channel estimation task by organizing physical antennas into virtual antenna groups. This segmentation allows the system to estimate channel responses for a reduced set of virtual antennas, consuming fewer estimation resources while still supporting multiple transmit antennas for high throughput data transmission.
Solution Approach 2:
The virtual antennas serve as efficient copies that capture channel characteristics without requiring proportional estimation resources. This copying approach enables the system to maintain high system throughput through multiple transmit antennas while significantly reducing the channel estimation resources required.
Data Source
AI summary
Systems and methodologies are described that facilitate cycling across antennas for channel quality information (CQI) computation and data transmission in a multiple-input multiple-output (MIMO) wireless communication environment. Pilots can be obtained by a wireless terminal. Further, virtual antennas that can be supported by a channel can be identified based upon an analysis of the pilots. Moreover, CQI computations can be effectuated for each of the supported virtual antennas; thereafter, the CQI data can be sent to a base station for data transmission scheduling. Additionally, the base station can schedule transmission based upon the CQI data and/or fairness considerations. When scheduled, data transmission can occur by cycling across the supported virtual antennas.