Grouping User Signals in MIMO Systems
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Solution Overview
Problem
Wireless communication systems face challenges in achieving high data rates due to factors like multi-path propagation, shadowing, and interference, which existing Multiple-Input Multiple-Output (MIMO) systems struggle to address effectively, particularly in efficiently transmitting multiple independent user signals using a single radio resource.
Innovation Solution
The method involves grouping users into groups and using power division, code division, or spatial division multiplexing techniques to combine and transmit signals, allowing for flexible resource allocation and adaptation to varying channel conditions, thereby optimizing transmission parameters for each user group.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple independent user signals are transmitted through a single radio resource in a MIMO system, then system transmission capacity is increased, but frequency efficiency and resource allocation flexibility deteriorate
Solution Approach 1:
The patent segments multiple user signals into distinct groups, with each group assigned to specific antenna ports. This segmentation enables independent resource allocation and multiplexing strategies for different user groups, thereby improving frequency efficiency while maintaining high system transmission capacity through parallel processing of multiple signal groups.
2Speed
If multiple antenna systems are used to increase data rate, then transmission speed is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal signal processing framework where the same multiplexing and resource allocation algorithms are applied across multiple antenna ports and user groups. This multi-functional approach allows the system to handle various transmission scenarios (single-user, multi-user, different modulation schemes) using a unified complex processing structure, thereby achieving high data rates without proportionally increasing hardware complexity.
3Reliability
If transmission parameters are optimized for specific users, then individual user performance is improved, but overall system adaptability to varying channel conditions deteriorates
Solution Approach 1:
The patent employs dynamic resource allocation and multiplexing strategies that adapt transmission parameters based on real-time channel conditions for each user group. The system continuously adjusts power distribution, code allocation, and spatial multiplexing configurations according to varying channel states, thereby maintaining both individual user performance and overall system adaptability through flexible, condition-dependent parameter optimization.
Data Source
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AI summary
Provided are an apparatus and method for grouping multiple user data and transmitting the grouped data in a multiple antenna system. According to the method, a plurality of user groups are configured, and at least one antenna group is assigned to the plurality of user groups. Then, user signals for each user group are combined using at least one user multiplexing method to generate a user group signal, and a plurality of user group signals are combined using at least one group multiplexing method. Then, the combined user group signal is transmitted to a plurality of users belonging to the plurality of user groups using the at least one antenna group.