5G Precoding With 2D Beam Decomposition for Lower Complexity
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing beamforming and precoding in 5G networks, particularly with the use of two-dimensional antenna arrays, which are crucial for improving data rates and coverage in high-frequency bands.
Innovation Solution
A base station equipped with a transceiver and processor that measures sound reference signals, selects uplink beam vectors, determines downlink beam weight vectors, and constructs a precoding channel matrix based on feedback, incorporating vertical and horizontal beam weight vectors to enhance beamforming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional beamforming methods are used in 5G networks, then implementation is simpler, but data rates and coverage are insufficient at high frequencies
Solution Approach 1:
The patent segments the two-dimensional antenna array into multiple one-dimensional antenna arrays (horizontal and vertical subsets). This segmentation allows the complex 2D beamforming to be decomposed into simpler 1D beamforming operations, reducing computational complexity while maintaining high data rates through coordinated phase and amplitude control across segments.
Solution Approach 2:
The patent transitions from traditional two-dimensional beamforming to a hybrid approach that combines one-dimensional horizontal and vertical beamforming. By separating the 2D array into 1D subarrays and applying independent beamforming weights to each dimension, the system achieves mmWave performance with reduced complexity through dimensional decomposition.
2Reliability
If two-dimensional antenna arrays are deployed for FD-MIMO, then coverage and data rates improve, but system complexity increases
Solution Approach 1:
The patent divides the large two-dimensional antenna array into multiple smaller one-dimensional subarrays. Each subarray can be independently controlled and processed, making the overall system more manageable. This segmentation maintains full coverage capability through coordinated transmission while reducing the complexity of individual array processing.
Solution Approach 2:
The patent reformulates the two-dimensional antenna array processing into separate one-dimensional horizontal and vertical beamforming operations. By applying 1D beamforming weights to 1D subarrays in each dimension and combining them through Kronecker product, the system achieves FD-MIMO coverage with reduced computational burden compared to direct 2D processing.
3Measurement precision
If conventional precoding is used, then implementation is straightforward, but precoding accuracy is insufficient for advanced wireless systems
Solution Approach 1:
The patent segments the precoding operation into separate horizontal and vertical one-dimensional precoding stages. Instead of applying a single complex two-dimensional precoding matrix, the system applies simpler 1D precoding matrices to horizontal and vertical subarrays independently, then combines them. This segmentation improves precoding accuracy through dimension-specific optimization while reducing overall computational complexity.
Solution Approach 2:
The patent transforms conventional two-dimensional precoding into a hybrid one-dimensional approach where precoding is applied separately to horizontal and vertical dimensions. This dimensional decomposition enables more accurate channel state information processing and precoding optimization for each dimension, improving overall precoding accuracy for mmWave FD-MIMO systems.
Data Source
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AI summary
The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). According to various embodiments, Base station (BS) capable of beamforming in a wireless communication includes a transceiver comprising an antenna array, the transceiver configured to measure SRS from a UE, using at least one portion of the antenna array, and a processor configured to select at least one UL beam vector based on an SRS measurement from a UL beam-codebook comprising a set of beam weight vectors, determine at least one DL beam weight vector corresponding to each of the selected at least one UL beam weight vector, transmit a beamformed CSI- RS by applying the at least one DL beam weight vector to the antenna array, receive a CSI feedback including a PMI from the UE, wherein the PMI is determined based on the beamformed CSI-RS, and construct a precoding channel matrix for the UE based on the PMI and the at least one DL beam weight vector.