Hybrid Beamforming Precoder Determination for Massive MIMO
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Solution Overview
Problem
In wireless communication systems, hybrid beamforming faces challenges in optimizing precoders for efficient beamforming, particularly in massive MIMO environments where hardware complexity and beam estimation complexity are high, limiting transmission rates and flexibility in resource allocation.
Innovation Solution
A method and apparatus for determining a precoder in hybrid beamforming, where user equipment acquires and calculates channel quality information by assuming pre-compensation and second precoders are applied, and reports this information to the base station, optimizing the precoding matrix index for the wireless channel environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hybrid beamforming is applied to reduce hardware complexity and enable multi-stream transmission, then transmission rate and resource allocation flexibility are improved, but precoder optimization complexity and beam estimation complexity increase
Solution Approach 1:
The precoder is segmented into two distinct components: an analog precoder implemented through hardware circuits (phase shifters and power amplifiers) and a digital precoder implemented through software processing. This segmentation allows the analog part to handle beamforming with fixed hardware while the digital part optimizes for multi-stream transmission, thereby improving transmission rate without proportionally increasing overall complexity.
Solution Approach 2:
The system performs preliminary beam estimation and analog precoder configuration before digital signal processing. By pre-determining the analog precoder settings based on channel state information and fixing the hardware configuration in advance, the system reduces the complexity of real-time optimization while maintaining high transmission rates through subsequent digital processing.
2Device complexity
If analog beamforming is used to simplify hardware structure, then hardware complexity is reduced, but beamforming accuracy and multi-user support capability deteriorate
Solution Approach 1:
The system merges analog beamforming and digital beamforming into a hybrid architecture. The analog precoder handles coarse beam direction with simple hardware, while the digital precoder refines beam accuracy and enables multi-user support. This combination allows the system to maintain simplified hardware structure while achieving high beamforming accuracy through the complementary strengths of both analog and digital processing.
Solution Approach 2:
Different parts of the beamforming system are assigned different qualities: the analog precoder provides broad beam coverage with fixed hardware characteristics, while the digital precoder provides precise beam steering and user-specific optimization. This local quality differentiation allows each component to operate at its optimal performance level, achieving overall high accuracy without requiring all components to be complex.
3Measurement precision
If digital beamforming is applied to maximize beamforming accuracy and multi-user support, then beamforming accuracy and resource allocation flexibility are improved, but hardware complexity and computational load increase
Solution Approach 1:
The beamforming function is segmented between analog and digital domains. The analog precoder handles the computationally intensive hardware operations with fixed circuits, while the digital precoder performs lighter software-based optimization. This segmentation reduces hardware complexity by offloading heavy computation to the digital domain where flexible processing can be achieved with less hardware overhead.
Solution Approach 2:
The analog precoder acts as an intermediary between the digital signal processor and the physical antenna array. It translates digital beamforming commands into analog signals with appropriate phase and amplitude adjustments, thereby reducing the computational burden on digital processors while maintaining beamforming accuracy through the intermediary's hardware-based signal conditioning.
Data Source
AI summary
Disclosed is a method for reporting channel quality information by a terminal to a base station in a wireless communication system to which hybrid beamforming is applied. Particularly, the method comprises the steps of: obtaining information associated with a first precoder for first beamforming from among hybrid beamforming; calculating information associated with a second precoder for second beamforming by receiving, from the base station, a reference signal to which the first beamforming is applied; calculating channel quality information by assuming that a pre-compensation precoder and the second precoder are applied; and reporting the channel quality information to the base station.