Distributed Massive MIMO Power Control for Indoor Beamforming
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Solution Overview
Problem
Current 5G communication systems face challenges in achieving efficient beamforming in indoor millimeter-wave environments without increasing the number of antenna elements, particularly in supporting massive and low-latency access through distributed massive MIMO systems, where traditional power control methods can lead to SNR degradation and mis-detection of active users.
Innovation Solution
The proposed method involves using hybrid Fresnel and Frauenhoffer zone beamforming, where terminals estimate large-scale channel gains from downlink reference signals to adjust uplink transmission power, enabling active-user detection and maximizing the Fresnel zone for improved signal strength based on user location, without increasing the number of antenna elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional power control methods are used in distributed massive MIMO systems, then uplink transmission can be supported, but SNR degradation and mis-detection of active users occur
Solution Approach 1:
The patent changes the power control parameter from traditional open-loop power control to closed-loop power control based on actual channel conditions. The base station adjusts the uplink transmission power of terminal devices based on downlink reference signal measurements and channel state information, transforming the power control from a fixed parameter to a dynamically adjusted parameter that adapts to actual communication conditions, thereby preventing SNR degradation and mis-detection
Solution Approach 2:
The patent introduces feedback mechanisms where the base station measures downlink reference signals and provides feedback information about channel conditions to the terminal devices. This feedback loop enables the terminal to adjust its uplink transmission power accordingly, ensuring accurate active user detection while maintaining adequate SNR levels through continuous monitoring and adjustment based on actual system state
2Strength
If the number of antenna elements is increased to improve beamforming performance, then signal strength increases, but system complexity increases
Solution Approach 1:
The patent segments the beamforming function across multiple distributed base stations rather than concentrating all antenna elements at a single location. Each base station employs a limited number of antenna elements, but collectively they achieve the signal strength equivalent of a large single aperture through spatial distribution, thereby reducing the complexity burden on any single device while maintaining overall system performance
3Strength
If hybrid Fresnel and Frauenhoffer zone beamforming is used, then signal strength is maximized for indoor users, but beamforming complexity increases
Solution Approach 1:
The patent implements dynamic beamforming mode selection where the system automatically determines whether to use Fresnel zone beamforming, Frauenhoffer zone beamforming, or hybrid approaches based on real-time channel conditions and user location. This dynamic adaptation allows the system to maximize signal strength for indoor users while avoiding the complexity of applying complex beamforming algorithms in situations where simpler approaches are sufficient
Solution Approach 2:
The patent applies different beamforming strategies to different spatial zones and user locations. Instead of using a uniform complex beamforming approach everywhere, the system identifies indoor users who benefit from hybrid Fresnel-Frauenhoffer beamforming and applies this specialized approach locally to them, while using simpler beamforming methods for other users, thereby maximizing signal strength where needed without unnecessarily increasing overall system complexity
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 signal strength and reduces mis-detection rates in indoor environments by optimizing power control and beamforming, allowing for efficient massive and low-latency access in 5G networks without the complexity of additional antenna elements.
Implementation Method 1
a first set of antenna elements of the base station to transmit downlink reference signals
Implementation Method 2
obtaining a parameter for identifying an uplink transmission power, and identifying the uplink transmission power for a TRP among the plurality of TRPs based on the parameter and a channel gain associated with the TRP
Implementation Method 3
hybrid Fresnel and Frauenhoffer zone beamforming, where terminals estimate large-scale channel gains from downlink reference signals to adjust uplink transmission power, enabling active-user detection and maximizing the Fresnel zone for improved signal strength
Implementation Method 4
hybrid Fresnel and Frauenhoffer zone beamforming... maximizing the Fresnel zone for improved signal strength based on user location
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The disclosure includes a methods and apparatus to enable massive and low-latency access via distributed massive MIMO where downlink reference signal or downlink synchronization signal is utilized for an open-loop power control designed to be suitable for compressive sensing-based grant free-random access.