Dynamic Hardware Capability Reallocation for Dual SIM User Equipment
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Solution Overview
Problem
In dual SIM dual active (DSDA) deployments, the static allocation of hardware capabilities between network subscriptions in user equipment (UE) is inefficient due to changing network conditions, leading to suboptimal performance as network conditions vary over time.
Innovation Solution
The UE dynamically allocates its hardware capabilities based on current or predicted network conditions, using measurement reports and machine learning algorithms to optimize resource allocation between its two subscriptions, allowing it to utilize the better-suited network for specific tasks and adjust according to geographic locations and mobility paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static allocation of hardware capabilities is used between network subscriptions, then device complexity is reduced and ease of operation is improved, but communication efficiency and adaptability deteriorate due to inability to respond to changing network conditions
Solution Approach 1:
The patent implements dynamic hardware capability allocation by enabling the UE to reconfigure which network subscription (first or second) is associated with which hardware capability (first or second) based on real-time network conditions. The UE monitors network conditions and can switch the association between subscriptions and capabilities without requiring network reconfiguration, transforming a static system into a dynamic one that adapts to changing conditions.
Solution Approach 2:
The patent employs feedback mechanisms where the UE monitors network conditions for both subscriptions and uses this information to determine optimal hardware capability allocation. Measurement reports from the network are processed by the UE to assess current network quality, and this feedback drives the reconfiguration decisions. The UE can base allocation decisions on predicted network conditions derived from historical measurement data, creating a closed-loop control system.
2Productivity
If dynamic allocation of hardware capabilities is implemented, then communication efficiency and performance are improved, but device complexity and ease of operation worsen due to constant reconfiguration requirements
Solution Approach 1:
The patent implements self-service by enabling the UE to autonomously monitor network conditions, process measurement reports, predict future network states, and make reconfiguration decisions without external intervention. The UE independently determines when hardware capability reallocation is beneficial and executes the reconfiguration automatically, eliminating the need for manual user configuration or network-side control of the allocation process.
Solution Approach 2:
The patent applies preliminary action by having the UE predict future network conditions based on historical measurement data before actually performing the hardware capability reallocation. The UE processes past measurement reports to forecast future network states, allowing it to proactively reconfigure hardware capabilities in anticipation of improved network conditions rather than reacting passively to changes.
3Reliability
If hardware capability is allocated based on current network conditions, then communication performance is improved, but loss of time increases due to continuous monitoring and reconfiguration
Solution Approach 1:
The patent applies preliminary action by having the UE predict future network conditions based on historical measurement data before actually performing the hardware capability reallocation. The UE processes past measurement reports to forecast future network states, allowing it to proactively reconfigure hardware capabilities in anticipation of improved network conditions rather than reacting passively to changes.
Solution Approach 2:
The patent employs feedback mechanisms where the UE monitors network conditions for both subscriptions and uses this information to determine optimal hardware capability allocation. Measurement reports from the network are processed by the UE to assess current network quality, and this feedback drives the reconfiguration decisions. The UE can base allocation decisions on predicted network conditions derived from historical measurement data, creating a closed-loop control system.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may support multi-subscriber identity module (SIM) operation in dual SIM dual active (DSDA) deployments. In some aspects, the UE may dynamically allocate its hardware capabilities between a first network subscription and a second network subscription based on current or predicted future network conditions. The UE may predict future network conditions based on past and/or current measurement reports of network conditions. In some aspects, a UE may determine that a first network subscription's hardware capability is better suited to perform one or more network measurements assigned to a second network subscription of the UE. The UE may perform one or more network measurements assigned to the second network subscription via the first network subscription, and then transmit the report to the network via the second network subscription.