Adaptive Beamforming for Wireless Synchronization
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Solution Overview
Problem
In communications networks, existing beamforming techniques face challenges in efficiently synchronizing wireless devices with radio access network nodes, leading to prolonged synchronization times and potential congestion due to uniform resource allocation, especially in areas with varying user densities.
Innovation Solution
Adaptive beamforming is implemented by acquiring beamforming information to transmit identification signals using directional beams more frequently in spatial directions with high user density, thereby optimizing resource allocation and reducing congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If uniform resource allocation is used for transmitting identification signals in all spatial directions, then coverage is provided to all areas, but synchronization time increases and congestion occurs in high user density areas
Solution Approach 1:
The patent applies local quality by transmitting identification signals with different resource allocations in different spatial directions. Specifically, in spatial directions with high user density, the identification signal is transmitted occupying a larger portion of communications resources, while in directions with low user density, fewer resources are allocated. This resolves the contradiction by adapting resource allocation to local conditions, reducing synchronization time in high-density areas without wasting resources in low-density areas.
Solution Approach 2:
The patent implements dynamics by making the resource allocation for identification signal transmission adaptive and variable based on detected user presence. The system dynamically adjusts the portion of communications resources occupied by the identification signal in different spatial directions according to user density, rather than using a fixed uniform allocation. This dynamic adaptation reduces synchronization time while preventing congestion.
2Reliability
If identification signal is transmitted in all spatial directions with equal resource allocation, then all areas receive coverage, but congestion occurs due to simultaneous transmissions from multiple wireless devices
Solution Approach 1:
The patent applies local quality by differentiating resource allocation based on spatial direction and user density. In directions with high user presence, the identification signal occupies a larger portion of communications resources, ensuring reliable synchronization. In directions with low user presence, fewer resources are allocated. This local differentiation maintains synchronization reliability where needed while reducing congestion by not over-provisioning resources in areas with fewer users.
3Productivity
If communications resources are allocated uniformly across all spatial directions, then resource distribution is simplified, but synchronization performance deteriorates in high user density areas
Solution Approach 1:
The patent implements dynamics by making resource allocation adaptive based on detected user presence in different spatial directions. The system dynamically adjusts the portion of communications resources occupied by the identification signal according to user density, optimizing synchronization speed in high-density areas. The complexity is managed through automated detection and adaptive allocation algorithms that adjust resources in real-time based on network conditions.
Data Source
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AI summary
There is provided mechanisms for adaptive beamforming. A method is performed by a first network device. The method comprises acquiring beamforming information indicating spatial directions in which an identification signal is to be transmitted. The method comprises transmitting the identification signal in a transmission pattern using directional beams in the spatial directions towards second network devices. The identification signal is transmitted such that the identification signal occupies a larger portion of communications resources when transmitted in spatial directions with high second network device presence than in spatial directions with low second network device presence.