MIMO Transmitter Resource Allocation via Channel Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In massive MIMO systems, the computational complexity and memory requirements of receivers increase exponentially with the number of received streams, leading to performance deterioration and high implementation costs, while existing interference cancellation methods are inefficient and error-prone.
Innovation Solution
A method is proposed where a MIMO transmitter estimates channel correlation among resource elements, allocates resources based on this correlation, and schedules users using a weighted proportional fair algorithm, thereby reducing computational complexity and improving resource allocation efficiency without additional receiver operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of transmit and receive antennas is increased to improve communication capacity, then throughput and capacity are improved, but computational complexity and memory requirements of the receiver increase exponentially
Solution Approach 1:
The patent divides the resource region into multiple resource elements and groups them based on channel correlation. By segmenting the reception processing into groups of correlated resource elements, the receiver processes fewer independent streams simultaneously, reducing computational complexity while maintaining the benefits of multiple antennas for communication capacity.
2Productivity
If MRT and MRC algorithms are used to achieve optimal transmission and reception, then communication capacity is maximized, but interference is not accounted for causing performance deterioration when the number of antennas is finite
Solution Approach 1:
The patent applies different processing strategies to different groups of resource elements based on their channel correlation properties. By identifying and grouping resource elements with high channel correlation, the system applies optimized reception processing locally to each group, achieving better performance by accounting for interference patterns in different channel conditions rather than using a uniform approach.
3Ease of manufacture
If resource allocation is performed without considering channel correlation, then allocation simplicity is maintained, but resource utilization efficiency is reduced
Solution Approach 1:
The patent performs preliminary estimation of channel correlation among resource elements before resource allocation. By pre-grouping resource elements based on their correlation characteristics, the system prepares optimized allocation groups in advance, which simplifies the actual allocation process while ensuring high resource utilization efficiency through correlation-aware grouping.
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
Disclosed are: a MIMO transmitter communication method estimating a channel correlation for REs on the basis of information regarding channels of REs contained in a resource region allocable to a MIMO receiver, allocating a part of the resource region as a resource for the MIMO receiver in consideration of the estimated channel correlation, and transmitting a downlink signal to the MIMO receiver through the allocated resource; and a MIMO transmitter.