Adaptive MU-MIMO Beamforming via Dynamic RF Path Selection
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Solution Overview
Problem
Existing MU-MIMO wireless communication systems lack the ability to dynamically match the number of RF paths to the multipath environment and select optimal multipath directions for signal transmission, leading to inefficiencies in signal strength and data rate.
Innovation Solution
The use of an electromagnetic lens and a connection and switch network that dynamically maps signals from multiple antennas to a limited number of RF paths, allowing adaptive selection of RF paths and antennas based on signal strength metrics for each user equipment, optimizing signal transmission in both uplink and downlink directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all N antenna elements are connected to N RF paths, then the system can serve more user equipment simultaneously, but the power consumption and device complexity increase
Solution Approach 1:
The patent implements dynamic RF path activation where the base station selectively activates only the necessary number of RF paths (M ≤ N) based on the current multipath environment and number of user equipment being served. This dynamic adaptation allows the system to maintain high productivity when serving multiple users while reducing power consumption by deactivating unnecessary RF paths during low-traffic periods.
Solution Approach 2:
The system changes the operational parameter of RF path count from a fixed N to a variable M that adapts to channel conditions. By monitoring the multipath environment and adjusting the number of active RF paths accordingly, the system optimizes the trade-off between serving capacity and power consumption, activating more paths only when environmental conditions warrant it.
2Device complexity
If a fixed number of RF paths are used, then the device complexity is reduced, but the adaptability to different multipath environments deteriorates
Solution Approach 1:
The patent employs dynamic selection of RF paths based on real-time channel state information. The base station monitors the multipath environment and dynamically determines which M RF paths (where M ≤ N) should be activated to optimally serve the current set of user equipment. This dynamic approach maintains low device complexity while achieving high adaptability to varying multipath conditions.
Solution Approach 2:
The system implements feedback mechanisms where channel state information from user equipment is used to determine the optimal configuration of RF paths. The base station receives feedback about channel conditions and adjusts the number and selection of active RF paths accordingly, enabling adaptability to different multipath environments without increasing inherent system complexity.
3Device complexity
If non-adaptive beamforming is used, then the system is simpler to implement, but the signal strength and data rate are reduced
Solution Approach 1:
The patent implements adaptive beamforming that dynamically adjusts beam directions and RF path selections based on current channel conditions. The system monitors signal strength metrics and multipath characteristics, then adaptively configures which RF paths are activated and how antenna elements are grouped, thereby maintaining strong signal strength while managing implementation complexity through structured adaptation.
Solution Approach 2:
The system uses feedback from channel state information to continuously optimize beamforming performance. By monitoring signal strength and channel conditions, the base station adjusts the beamforming configuration and RF path selection to maintain optimal signal strength, transforming a potentially complex adaptive system into a manageable implementation through feedback-driven optimization.
4Productivity
If all RF paths are always activated, then the system can handle peak traffic demands, but the power consumption increases during low traffic periods
Solution Approach 1:
The patent implements dynamic RF path activation that adjusts the number of active RF paths based on current traffic demand and channel conditions. During peak traffic periods, more RF paths are activated to handle the increased load, while during low traffic periods, fewer RF paths remain active to reduce power consumption. This dynamic adaptation resolves the contradiction between maintaining peak handling capability and reducing idle power consumption.
Solution Approach 2:
The system changes the operational parameter of active RF path count from a static maximum N to a variable M that scales with traffic demand. By monitoring traffic patterns and channel conditions, the system adjusts M accordingly, ensuring sufficient capacity during peaks while minimizing power consumption during low-traffic periods through parameter adaptation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the Signal-to-Noise Ratio (SNR) and Signal-to-Interference-plus-Noise Ratio (SINR), improves data rate, and reduces power consumption by selectively activating only necessary RF paths, while maintaining flexibility in serving multiple user equipment.
Implementation Method 1
an electromagnetic lens and a connection and switch network that dynamically maps signals from multiple antennas to a limited number of RF paths
Data Source
AI summary
This invention presents methods and systems for RF path and antenna connection and switch in wireless communication comprising an electromagnetic lens and M antennas; N (N<=M) radio frequency (RF) transmitting and receiving chains/paths that contain Low Noise Amplifiers (LNAs), RF filters, mixers, amplifiers; a plural of digital to analog converters (DACs) and analog to digital converters (ADCs); a connection and switch network that maps the signals from M antennas to N RF paths in the UL or mapping the signals from N RF path to M antennas in the DL, and a processor unit that measures and estimates the receiving signal strength (RSS) or the equivalent metrics on each antenna for each user equipment (UE) based on the received UL reference signals, and drives signals to control the connection and switch network to connect RF paths and antennas for data transmission.