Multi-Connectivity Module for URLLC Reliability
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR, face challenges in achieving high reliability and low latency without introducing single points of failure and maintaining cost-effectiveness, especially in applications requiring ultra-reliable and low latency communication (URLLC) such as factory automation and remote surgery.
Innovation Solution
A multi-connectivity module that combines multiple user equipment (UE) components, each supporting a different radio access technology (RAT), uses separate wireless links to transmit and receive data, ensuring redundancy and reliability by duplicating data traffic across multiple connectivity components, thereby eliminating single points of failure and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple connectivity components are used to achieve high reliability and eliminate single points of failure, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple connectivity components (first and second UEs) into a unified multi-connectivity module that functions as a single logical entity. The module integrates multiple radio access technologies and connectivity components while presenting a unified interface to the network, thereby achieving high reliability without proportionally increasing system complexity. The combined module shares common components such as antenna arrays, signal processing units, and control logic across multiple connectivity paths.
Solution Approach 2:
The multi-connectivity module is designed with universal functionality to support multiple radio access technologies (e.g., 5G NR, 4G LTE, Wi-Fi) and multiple connectivity components within a single integrated platform. This multi-functional design allows the system to adapt to different network conditions and requirements while maintaining a consistent operational framework, reducing the complexity that would arise from managing separate specialized systems.
2Reliability
If duplicate data traffic is transmitted across multiple connectivity components, then data integrity is improved, but use of energy increases
Solution Approach 1:
The system implements partial redundancy by transmitting duplicate data traffic only when necessary to achieve the required reliability level, rather than continuously duplicating all traffic. The multi-connectivity module intelligently determines when redundancy is needed based on network conditions, data priority, and reliability requirements, thereby reducing unnecessary energy consumption while maintaining data integrity for critical communications.
Solution Approach 2:
The system dynamically adjusts transmission parameters such as modulation schemes, coding rates, and power levels across different connectivity components based on channel conditions and reliability requirements. By optimizing these parameters in real-time, the system achieves the necessary data integrity with minimal energy expenditure, adapting the level of redundancy and transmission power to match the actual needs of each communication scenario.
3Adaptability or versatility
If multiple radio access technologies are supported, then adaptability is improved, but device complexity increases
Solution Approach 1:
The multi-connectivity module incorporates a universal architecture that natively supports multiple radio access technologies (5G NR, 4G LTE, Wi-Fi, and future RATs) through common hardware platforms and software-defined radio interfaces. This universal design allows the system to adapt to different network environments and technologies without requiring separate specialized hardware for each RAT, thereby maintaining manageable complexity while achieving broad compatibility.
Solution Approach 2:
The system employs dynamic capability management where the multi-connectivity module can adaptively enable or disable support for specific radio access technologies based on network availability, service requirements, and operational context. This dynamic approach allows the system to maintain support for multiple RATs in principle while only actively managing the subset needed at any given time, reducing the operational complexity associated with multi-RAT support.
Data Source
AI summary
Various aspects and features related to wireless communication for high reliability and low latency are described. In an aspect of the disclosure, a method, a computer-readable medium, a system, and an apparatus are provided. A method of wireless communication includes communicating with a network via one or more network nodes using separate wireless links for each UE in a set of UEs using a same RAT. The method includes either transmitting uplink data traffic from a common source to the network nodes using respective separate wireless links corresponding to the two or more UEs or receiving downlink data traffic destined for the common source from the network nodes using respective separate wireless links corresponding to the two or more UE.