Uplink Carrier Aggregation Selection for Throughput-Latency Tradeoffs
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Solution Overview
Problem
Existing uplink transmit switching methods in wireless communication devices, as defined by 3GPP specifications, do not consider application-specific requirements for uplink throughput or latency, leading to inefficient resource allocation and user experience optimization.
Innovation Solution
An electronic device predicts application requirements for uplink carrier aggregation (UL CA) combinations based on bandwidth and latency scores, dynamically selecting the optimal UL CA combination to minimize latency for latency-sensitive applications or maximize throughput for data-intensive applications, and communicates this selection to the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uplink transmit switching is implemented to support multiple modalities (carrier aggregation and MIMO), then overall bandwidth and bitrates are increased, but switching transmit paths cannot be done instantaneously as analog and digital circuits must be reconfigured
Solution Approach 1:
The system performs preliminary actions by pre-configuring and pre-testing multiple uplink carrier aggregation combinations before actual data transmission. The device determines supported UL CA combinations and their characteristics (bandwidth, latency, throughput) in advance, so when switching is needed, the configuration can be activated immediately without reconfiguration delays.
Solution Approach 2:
The system dynamically selects from multiple pre-configured UL CA combinations based on real-time conditions. The device can switch between different UL CA combinations (e.g., from a high-bandwidth combination to a low-latency combination) by selecting from the pre-determined set of supported combinations, enabling rapid adaptation without physical reconfiguration.
2Device complexity
If traditional uplink transmit switching is used without application awareness, then device complexity is reduced, but application performance optimization is lost
Solution Approach 1:
The system implements feedback mechanisms where the device monitors application performance requirements and network conditions, then uses this information to select the optimal UL CA combination. The device determines which UL CA combination best suits the current application needs (e.g., prioritizing bandwidth for data-intensive apps or reducing latency for real-time apps) and adjusts the configuration accordingly.
Data Source
AI summary
An electronic device supports multiple uplink carrier aggregation (UL CA) combinations for various frequency bands. The device includes processors that predict whether a foreground application will be optimized by a high bandwidth UL CA combination, a low uplink transmit switching time UL CA combination, or a UL CA combination having both a higher bandwidth and a lower uplink transmit switching time. The processors select the appropriate UL CA combination and transmit this information to a remote device. The method involves ranking UL CA combinations based on throughput and latency scores, building a user equipment capability information (UCI) message with fewer UL CA combinations, and dynamically updating the UCI message based on hardware changes or application requirements. This approach ensures optimal performance for applications requiring high throughput, low latency, or both.