Multi-Antenna Data Transmission Mode Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multi-user MIMO systems face challenges in achieving high data rates and reducing feedback and calculation complexity, particularly when the number of users is not large, due to the inefficiencies of current multi-mode schemes like random beamforming and dual-mode limited feedback systems.
Innovation Solution
A method for determining a candidate transmission mode that maximizes the upperbound approximation of the average total data rate, where user equipment selects a transmission mode based on received SINR and feeds back only the necessary information, optimizing the number of random beams according to the number of users, and reducing feedback bits to the base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dirty paper coding (DPC) scheme is used to remove interference from other users, then channel capacity is maximized, but implementation complexity and calculation requirements become too large for actual systems
Solution Approach 1:
The patent uses random beamforming as a simplified, computationally inexpensive alternative to DPC. Instead of performing complex interference cancellation calculations, the system employs random beam vectors that are easy to generate and update, sacrificing some theoretical optimality for practical implementability in real communication systems
Solution Approach 2:
The patent changes the approach from deterministic interference cancellation (DPC) to probabilistic random beamforming. By changing the parameter of beam selection from optimized to random, the system reduces calculation complexity while maintaining acceptable performance through spatial multi-user diversity
2Device complexity
If random beamforming (RBF) scheme is used with arbitrary weight values, then implementation complexity is reduced, but data transmission efficiency is drastically degraded when the number of users is only around 10 to 100
Solution Approach 1:
The patent introduces adaptive random beamforming where the beamforming parameters are dynamically adjusted based on feedback from user equipment. The system transitions from static arbitrary weight values to dynamic weights that adapt to channel conditions, maintaining low complexity while improving efficiency for moderate user numbers
Solution Approach 2:
The patent implements a feedback mechanism where user equipment reports channel state information and performance metrics back to the base station. This feedback enables the system to adaptively adjust random beamforming parameters, resolving the contradiction between simplicity and efficiency by using minimal feedback to guide the random process
3Productivity
If multi-mode schemes are used to adapt transmission signals from 1 to NT, then data rate is improved, but feedback amount and calculation complexity increase due to mode selection requirements
Solution Approach 1:
The patent extracts the mode selection complexity from the feedback process. Instead of requiring explicit mode indication feedback, the system determines the optimal number of beams to transmit based on channel conditions and user numbers, then directly configures the beamforming accordingly. This removes the need for feedback bits dedicated to mode selection
Solution Approach 2:
The system performs self-configuration of transmission modes based on pre-defined criteria involving user number and channel conditions. The base station autonomously determines the appropriate number of beams without requiring external feedback about mode preferences, making the mode selection process self-service and feedback-free
Data Source
AI summary
A method for transmitting data in a multi-antenna system includes determining a candidate mode in which a maximum upperbound approximation of an average total data rate is maximized as a transmission mode, selecting a user equipment to receive data by using the transmission mode, and transmitting data to the selected user equipment.