Dynamic RAT Pruning for Throughput and Power Balance
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Solution Overview
Problem
Wireless communication networks face inefficiencies when user equipment (UE) devices establish multiple concurrent Radio Access Technologies (RATs) due to limited resources, leading to suboptimal network performance.
Innovation Solution
UE devices dynamically adjust the number and type of RATs by concurrently using multiple RATs for improved throughput and then pruning unnecessary links based on duty cycle and throughput estimation to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple concurrent RATs are used, then data throughput is improved, but device complexity and resource consumption increase
Solution Approach 1:
The system dynamically adjusts the number of concurrent RATs based on real-time network conditions, UE mobility state, and traffic requirements. The network entity monitors parameters such as signal quality, throughput, and UE speed, and adaptively configures whether to maintain multiple RAT connections or prune to a single RAT, thereby optimizing the balance between productivity and device complexity
Solution Approach 2:
The invention changes operational parameters including the number of active RATs, connection priorities, and resource allocation based on measured network conditions. By monitoring parameters like reference signal received power (RSRP), signal-to-noise ratio (SNR), and UE mobility indicators, the system adjusts configuration parameters to achieve optimal throughput while managing complexity
2Reliability
If multiple concurrent RATs are maintained, then network reliability is improved, but power consumption increases
Solution Approach 1:
The system dynamically switches between multi-RAT and single-RAT modes based on real-time assessment of network conditions and reliability requirements. When network conditions are stable and single RAT provides sufficient performance, the system prunes connections to conserve power. When conditions deteriorate or high reliability is required, multiple RATs are re-established
Solution Approach 2:
The UE device autonomously monitors its own power consumption, processing capabilities, and network performance metrics to determine when to maintain or prune RAT connections. The device self-adjusts its connection strategy without requiring continuous network control signaling, thereby reducing overall power consumption while maintaining reliability
3Speed
If multiple concurrent RATs are used, then data transmission speed is improved, but computational resource utilization increases
Solution Approach 1:
The system dynamically adjusts computational resource allocation based on the number of active RATs and current processing load. When multiple RATs are active, the network entity and UE coordinate to optimize processing schedules, prioritize critical functions, and prune less important connections when computational capacity is constrained, thereby maintaining high data transmission speed while managing computational resource utilization
Data Source
AI summary
Disclosed are methods, systems, and computer-readable medium to perform operations including obtaining data representing: one or more characteristics of a first wireless link between the UE device and a wireless network, and one or more characteristics of a second wireless link between the CE device and the wireless network; determining, based on the data; a first estimated data throughput between the UE device and the wireless network using the first wireless link and the second wireless link concurrently, and a second estimated data throughput between the UE device and the wireless network using the first wireless link and without using the second wireless link; determining, based on the first estimated data throughput and the second estimated data throughput, whether a first set of criteria is satisfied; and upon determining that the first set of criteria is satisfied, terminating the second wireless link.