Wireless Communication Device Spatial Stream Bias Suppression
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Solution Overview
Problem
In multiuser MIMO wireless communication systems, the existing methods for resource allocation lead to biased reception quality among spatial streams, limiting flexibility and frequency use efficiency due to increased scheduler load and inefficient use of spatial resources.
Innovation Solution
A wireless communication method that dynamically adjusts resource allocation by setting additional data areas and null data areas within the MU-MIMO transmission framework, using continuous and distributed mapping techniques to balance resource utilization and improve channel estimation precision, thereby reducing interference and enhancing overall reception quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If resource allocation is performed by combining users with common allocation resource size, then spatial resource waste is reduced, but scheduler load increases and flexibility deteriorates
Solution Approach 1:
The patent segments the resource allocation process into two independent stages: first determining MU-MIMO user combinations based on allocation resource size, then independently determining spatial stream assignments. This segmentation reduces scheduler complexity by separating the combinatorial search (Stage 1) from the stream assignment (Stage 2), allowing flexible stream allocation without increasing overall scheduler load.
Solution Approach 2:
The patent introduces dynamic stream assignment where the number of spatial streams per user can vary independently. Instead of fixed equal allocation, the system dynamically adjusts stream numbers based on channel conditions and user requirements, enabling flexible resource utilization while maintaining manageable scheduler complexity through structured decision-making.
2Adaptability or versatility
If users with different allocation resource sizes are allocated as MU-MIMO users, then flexibility improves, but reception quality bias occurs
Solution Approach 1:
The patent applies local quality by assigning different numbers of spatial streams to different users based on their individual channel conditions and allocation resource sizes. Each user receives a customized stream allocation optimized for their specific reception quality, rather than uniform allocation. This ensures fair and efficient resource distribution while maintaining high reception quality for all users.
3Ease of operation
If spatial multiplexing transmission is performed with fixed stream allocation, then transmission simplicity is maintained, but frequency use efficiency decreases
Solution Approach 1:
The patent implements dynamic stream allocation where the number of spatial streams is determined based on channel conditions and user requirements. This dynamic approach allows the system to optimize frequency use efficiency by allocating more streams to users with better channels and fewer streams when necessary, while maintaining relatively simple transmission procedures through automated decision-making.
Data Source
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AI summary
A bias of reception qualities between spatial streams to a plurality of terminal devices is suppressed in a multiuser MIMO transmission. A wireless communication device according to the invention is one for performing a spatial multiplexing transmission to the plurality of terminal devices, that includes an additional data area setting section that allocates, as an additional data area, a part of a resource allocation area to which no data addressed to each terminal device of the plurality of terminal devices is allocated among resource allocation areas for the spatial multiplexing transmission which are allocated to each terminal device of the plurality of terminal devices, an additional data generator that generates additional data corresponding to the additional data area allocated by the additional data area setting section, and a transmitter that transmits the data which is addressed to each of the plurality of terminal devices and the additional data.