Adaptive Uplink Feedback Signaling for LTE Symbol Space Allocation
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Solution Overview
Problem
In LTE UL systems, efficiently allocating physical resources between data and control channels is challenging due to limitations in power control, modulation, and coding schemes, which affect the quality of service and reliability of control signaling, especially at the cell edge and during rapid propagation environment changes.
Innovation Solution
A method for dynamically selecting the symbol space and transport format for data-non-associated uplink feedback control signaling, allowing for flexible and efficient adjustment of resources to meet different performance requirements, including using dynamic TFCI signaling to optimize BLER and SINR for both control and data channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If power offset method is used to allocate resources between data and control channels, then resource allocation is simplified, but the quality of service for control signals becomes suboptimal, especially at cell edge
Solution Approach 1:
The patent applies dynamics by transitioning from static power offset to dynamic symbol space selection. The symbol space for control signaling is dynamically adjusted based on current channel conditions and QoS requirements, allowing the system to adapt to varying propagation environments and maintain optimal control signal quality while simplifying resource allocation.
Solution Approach 2:
The patent changes the parameter from fixed power offset to variable symbol space allocation. By dynamically selecting the symbol space size for control signaling based on SINR and QoS requirements, the system achieves both simplified allocation and optimal quality of service across different operational conditions.
2Ease of manufacture
If fixed symbol space allocation is used for control signaling, then resource allocation is straightforward, but resource utilization becomes inefficient in varying propagation environments
Solution Approach 1:
The system dynamically adjusts the symbol space allocation for control signaling based on current propagation conditions and QoS requirements. This dynamic adaptation allows efficient resource utilization across varying environments while maintaining straightforward allocation through standardized selection mechanisms.
Solution Approach 2:
The patent implements parameter changes by varying the symbol space size for control signaling according to channel conditions. This enables the system to optimize resource utilization efficiency while keeping the allocation process straightforward through predefined selection criteria.
3Productivity
If dynamic adjustment of symbol space and power allocation is implemented, then resource utilization efficiency improves, but system complexity increases
Solution Approach 1:
The patent focuses on parameter changes in symbol space allocation rather than complex power control mechanisms. This approach achieves improved resource utilization efficiency while limiting the increase in system complexity to primarily selection and adaptation functions.
4Productivity
If control signaling adapts to data channel SINR target, then resource allocation is optimized, but control signal delay requirements are harder to meet
Solution Approach 1:
The system dynamically selects symbol space sizes that balance resource allocation optimization with delay requirements. By adapting the symbol space allocation in real-time based on channel conditions and QoS needs, the system achieves both optimized resource utilization and meeting of control signal timing constraints.
Data Source
AI summary
One or more dynamically selected signaling bits are added in a downlink from a base station to user equipment (UE) so that the UE can use an adaptive “symbol space” for uplink feedback (CQI/HARQ) signaling and know from the extra added downlink signaling bits and the MCS currently signaled in parallel how big a symbol space to use at the moment for the uplink feedback.