Dynamic Base Station Beam Codebook Design for 5G Coverage
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Solution Overview
Problem
Current 5G communication systems face challenges in dynamically optimizing base station beam codebooks to accommodate varying user equipment (UE) channels and mobility patterns, leading to suboptimal coverage and throughput, especially in obstructed areas and environments with changing user distributions.
Innovation Solution
The implementation of a site-specific and dynamic base station beam codebook design that updates based on real-time UE measurement reports, estimating UE channels to maximize coupling gain and adapt to environmental conditions, using iterative algorithms and ray tracing data to optimize beamforming and antenna array configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed base station beam codebook is used, then device complexity is reduced, but coverage and throughput deteriorate in obstructed areas and changing environments
Solution Approach 1:
The patent implements dynamic codebook updates by continuously monitoring UE measurement reports and adjusting the base station beam codebook in real-time based on changing channel conditions and UE mobility patterns, transforming the static codebook into an adaptive system that responds to environmental changes
Solution Approach 2:
The patent performs preliminary ray tracing simulations to predict optimal beam configurations for different environmental scenarios, allowing the system to pre-compute codebook updates based on predicted UE movements and environmental obstructions before they occur
2Reliability
If beam switching is increased to adapt to mobility patterns, then coverage is improved, but system stability deteriorates due to excessive beam changes
Solution Approach 1:
The patent implements a feedback mechanism where UE measurement reports continuously inform base station beam selections, creating a closed-loop system that adjusts beam configurations based on actual received signal quality while preventing excessive beam switching through threshold-based decision making
Solution Approach 2:
The patent employs periodic codebook updates synchronized with UE reporting intervals and mobility patterns, updating beam configurations at optimal periods rather than continuously, which maintains coverage reliability while reducing unnecessary beam changes that would destabilize the system
3Productivity
If site-specific codebook optimization is implemented, then throughput is improved, but measurement precision requirements increase
Solution Approach 1:
The patent applies partial optimization by focusing codebook refinement on the most significant channel parameters (angle of departure, path gain) while accepting coarser estimation for less critical parameters, achieving substantial throughput improvement without requiring ultra-precise measurement of all channel characteristics
Data Source
AI summary
A base station (BS) can include a site-specific and dynamic codebook design. The BS includes an antenna and a transceiver coupled to the antenna and configured to communicate via a wireless communication medium. The BS also includes a processor coupled to the transceiver. The processor is configured to: receive, from a user equipment (UE), a measurement report comprising a best beam index and a corresponding received power; estimate a UE channel including a path gain and angle of departure; update the site-specific codebook based on the estimated UE channel; and transmit control and data signals to the UE using the updated site-specific codebook.