Adaptive Beamforming for User Experience Under Network Contention
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Solution Overview
Problem
Existing communication networks often fail to provide a satisfying user experience due to discrepancies between claimed performance and actual user experience, particularly in environments with high resource contention, leading to issues like slow downloads, latency, and disconnections.
Innovation Solution
A system that employs a network test device or 'experience tester' to conduct quantitative tests, converting them into qualitative assessments of user experience, and dynamically adjusts beamforming or resource allocation based on these assessments to improve user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beamforming is used to serve multiple users in high resource contention environments, then network bandwidth utilization is improved, but user experience quality deteriorates due to latency and disconnections
Solution Approach 1:
The system dynamically adjusts beamforming parameters and resource allocation based on real-time qualitative assessment of user experience. The resource manager continuously monitors network conditions and modifies beamforming configurations to maintain optimal user experience while maximizing bandwidth utilization, transforming static beamforming into a dynamic adaptive system.
Solution Approach 2:
The system implements a feedback loop where qualitative assessment of user experience (including latency, disconnections, and service quality) is continuously measured and fed back to the resource manager. This feedback drives real-time adjustments to beamforming and resource allocation, enabling the system to respond to changing network conditions and maintain reliable user experience.
2Quantity of substance
If network operators claim high bandwidth and speed capabilities, then network capacity is improved, but actual user experience deteriorates due to resource contention and latency
Solution Approach 1:
The system performs preliminary qualitative assessment of network capabilities across different service categories before users experience degradation. By proactively evaluating network performance metrics and predicting potential latency issues, the resource manager can pre-adjust resource allocation and beamforming configurations to prevent user experience deterioration rather than reacting after problems occur.
Solution Approach 2:
The system dynamically changes network operating parameters including beamforming configurations, resource allocation, and service prioritization based on qualitative assessment results. By adjusting these parameters in real-time, the system optimizes the balance between bandwidth utilization and latency performance, ensuring high-speed delivery without sacrificing user experience quality.
3Device complexity
If binary connected or offline mode is used in applications, then system complexity is reduced, but user experience deteriorates due to inability to provide degraded mode operations
Solution Approach 1:
The system transitions from static binary connection modes to dynamic connection quality assessment. The qualitative evaluation mechanism continuously monitors network performance and enables applications to adapt their operation mode smoothly based on real-time conditions, providing continuous degraded mode operations rather than abrupt disconnected states.
Solution Approach 2:
The system enables applications to self-adjust their operation based on qualitative network assessment. By providing network capability information to applications, the system allows them to autonomously select appropriate operation modes (full functionality, degraded mode, or offline) without complex centralized control, simplifying system architecture while maintaining user experience continuity.
Data Source
AI summary
A system may include an access network comprising at least two base stations configured to communicate with a wireless communication device via dynamically steerable or formable beams, a resource manager disposed at a location accessible via the access network or at the wireless communication device, and an experience tester configured to determine a qualitative assessment of capabilities of the access network relative to different categories of services or applications for the wireless communication device via a first beam formed or selected to serve the communication device. The resource manager may be configured to initiate a handover based on both location-based criteria and user experience based criteria. The user experience based criteria may be associated with the qualitative assessment.