Joint QoS Data Flow Aggregation for Uplink Power
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Solution Overview
Problem
Current wireless networks face limitations in uplink throughput due to the maximum transmit power of User Equipment (UE), which restricts the attainment of guaranteed bit rate and quality of service requirements, especially when individual UEs operate alone and cannot aggregate their transmit power effectively.
Innovation Solution
A system and method that allow multiple UEs to jointly request and establish data flows with shared quality-of-service requirements, aggregating their transmit power to improve uplink throughput and meet quality of service demands that would otherwise be unattainable, by creating a request for joint quality-of-service requirements and scheduling data packets based on aggregated power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If more spectral resources are assigned to a given UE, then the available spectral resources increase, but the per-PRB SINR decreases and the attainable throughput gains are counteracted
Solution Approach 1:
The patent combines multiple UEs into a single group that shares transmit power resources. By merging the power capabilities of multiple UEs while maintaining separate spectral assignments, the system achieves higher aggregate transmit power without diluting per-PRB SINR, thus resolving the contradiction between spectral resource allocation and power efficiency.
Solution Approach 2:
The patent introduces a new dimension of power aggregation by grouping multiple UEs together. Instead of allocating power and spectrum in a single dimension per UE, the system creates a multi-UE group dimension where power is aggregated while spectrum remains individually assigned, allowing simultaneous optimization of both parameters.
2Ease of operation
If a UE operates in solitary fashion handling its own data traffic, then the UE maintains independent control, but the uplink throughput is limited by the maximum transmit power of the individual UE
Solution Approach 1:
The patent merges the transmit power resources of multiple UEs into an aggregate pool while maintaining separate data flow handling. This allows individual UEs to retain operational independence for their respective data traffic while collectively accessing higher power resources, thus improving uplink throughput without sacrificing ease of operation.
Solution Approach 2:
The patent introduces a network-side intermediary that manages the aggregated power resources for a group of UEs. This intermediary coordinates power allocation across multiple UEs while allowing each UE to independently handle its own data traffic, resolving the contradiction between independent control and aggregated power utilization.
3Reliability
If the UE's transmit power is a bottleneck, then the network cannot support given GBR requirement and other performance requirement, but increasing individual UE power is limited by hardware constraints
Solution Approach 1:
The patent combines the transmit power resources of multiple UEs to create an aggregate power pool that can support higher GBR requirements. By merging power capabilities across multiple devices, the system achieves the necessary power levels for reliable GBR support without requiring individual UEs to have excessive power capabilities.
Solution Approach 2:
The patent creates a universal power aggregation mechanism that serves multiple UEs simultaneously. The aggregated power resource functions as a shared pool that can be dynamically allocated to support various GBR requirements across different UEs in the group, providing multi-functional power support rather than dedicated power for each UE.
4Power
If multiple UEs are grouped to aggregate transmit power, then the aggregate transmit power increases and higher per-PRB SINR can be achieved, but the system complexity increases
Solution Approach 1:
The patent introduces network-side intermediaries that manage the complexity of power aggregation. These intermediaries handle the coordination and resource allocation for multiple UEs in a group, offloading the computational and management complexity from individual UEs while enabling aggregate power utilization. This resolves the contradiction by centralizing complexity management.
Solution Approach 2:
The patent implements feedback mechanisms where the network monitors and adjusts power allocation across UE groups. This feedback system dynamically optimizes the aggregation configuration based on current network conditions and UE requirements, managing system complexity through adaptive control rather than static complex configurations.
Data Source
AI summary
A device (1) for transmitting data over a data radio bearer associated with a first data flow is configured to determine one or more quality-of-service requirements of one or more applications and create a request specifying the one or more quality-of-service requirements to admit a group of at least two data flows with one or more joint quality-of-service requirements. The group of data flows comprises the first data flow. The device is further configured to transmit (251) the request to a system (41) for establishing data flows. receive (257), from the system for establishing data flows, a response indicating whether the request has been accepted or rejected, and transmit (263) data to a base station (21) over the data radio bearer associated with the first data flow if the request has been accepted.