Uplink Training Resource Allocation for UE Hardware Components
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently allocating resources for uplink training of user equipment (UE) hardware components, leading to increased latency and inefficiencies in manufacturing and real-time operating conditions.
Innovation Solution
A method where a network entity allocates specific resources for uplink response training of UE hardware components, allowing the UE to perform training based on received signaling and transmit updated transmission characteristics, potentially without adhering to certain radio frequency requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used for uplink training of UE hardware components, then manufacturing processes can be completed, but latency is increased and manufacturing time is extended
Solution Approach 1:
The network entity performs uplink training procedures in advance before actual communication begins. The UE executes training sequences and the network entity measures responses beforehand, so that when real communication starts, the transmission characteristics are already determined and can be applied immediately, eliminating training latency during operational time.
Solution Approach 2:
The patent implements continuous training where the UE repeatedly transmits training sequences and receives measurements from the network entity throughout the communication process. This ongoing feedback loop allows the transmission characteristics to be continuously optimized without interrupting normal communication operations, effectively eliminating the need for separate training phases.
2Measurement precision
If resources are allocated for uplink training, then transmission characteristics can be determined, but system resources are consumed
Solution Approach 1:
The training sequences and measurement procedures are designed to serve multiple purposes: they characterize UE hardware components (power amplifiers, antennas), optimize transmission characteristics for communication, and can be used for both initial setup and ongoing communication adjustments. This multi-functionality reduces the need for separate dedicated training resources.
Solution Approach 2:
The patent utilizes different training sequences with varying parameters (modulation schemes, power levels, coding rates) to efficiently extract multiple transmission characteristics simultaneously. By changing these parameters across different training iterations, the system determines multiple hardware component characteristics without requiring separate dedicated resources for each measurement.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive, from a network entity, first signaling allocating a first set of resources for uplink response training of one or more hardware components of the UE. Further, the UE may perform, via the first set of resources and based on the first signaling, the uplink response training and transmit, to the network entity and via a second set of resources, second signaling in accordance with one or more transmission characteristics that are based on the uplink response training.