5G Dual-Connectivity Split Bearer Allocation for Spectrum Efficiency
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Solution Overview
Problem
Conventional split bearer implementations in 5G dual connectivity fail to achieve spectral efficiency, leading to inefficient allocation of high-band and low-band resources, particularly in Fixed Wireless Access (FWA) scenarios, where resources are wasted on low-revenue users, impacting more profitable mobility services.
Innovation Solution
A method where user equipment (UE) communicates its resource allocation preferences to the gNB, prompting the base station to allocate preferred multiband resources, ensuring optimal distribution based on distance and Signal-to-Interference-plus-Noise Ratio (SINR), thereby mitigating connectivity issues for devices farther from the base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional split bearer implementations allocate multiband resources in 5G dual connectivity, then data transmission capacity is increased, but spectral efficiency deteriorates leading to wasted resources on low-revenue users
Solution Approach 1:
The patent changes the parameter of resource allocation by introducing UE preference indication and gNB distance-based allocation. The gNB determines UE preference for multiband resources and the UE's distance from the gNB, then allocates high-band or low-band resources accordingly. This parameter-based differentiation resolves the contradiction by optimizing spectral efficiency for distant UEs while maintaining capacity for near UEs.
Solution Approach 2:
The patent applies local quality by differentiating resource allocation strategies based on UE location and preference. Distant UEs receive high-band resources with relaxed QoS requirements, while near UEs receive low-band resources with stricter QoS. This localized optimization resolves the spectral efficiency issue for specific UE groups without compromising overall system capacity.
2Speed
If high-band resources are allocated to distant UEs, then data rate is improved, but connection reliability deteriorates due to poor signal conditions
Solution Approach 1:
The patent changes the allocation parameters by considering both UE preference and distance from gNB. For distant UEs, it allocates high-band resources but with relaxed QoS requirements, accepting lower reliability in exchange for higher data rates. For near UEs, it allocates low-band resources with stricter QoS, ensuring high reliability. This resolves the contradiction by matching resource characteristics to UE location.
Solution Approach 2:
The patent applies partial action by not requiring all UEs to achieve high reliability. Instead, it provides high data rates to distant UEs with relaxed QoS requirements, accepting that connection reliability will be lower for this group. This partial optimization resolves the contradiction by prioritizing data rate for distant UEs while maintaining reliability only where necessary.
3Stability of the object's composition
If low-band resources are allocated to near UEs, then connection stability is improved, but spectrum utilization efficiency deteriorates
Solution Approach 1:
The patent changes the resource allocation parameters by introducing distance-based differentiation. Near UEs receive low-band resources with stricter QoS requirements, ensuring connection stability. Distant UEs receive high-band resources with relaxed QoS, improving spectrum utilization efficiency. This parameter-based allocation resolves the contradiction by optimizing for stability only where it matters.
Solution Approach 2:
The patent applies local quality by providing different resource allocations to different UE groups based on their location. Near UEs receive stable low-band connections, while distant UEs receive high-band resources with relaxed requirements. This localized optimization resolves the spectrum utilization issue by not forcing stability requirements on all UEs.
4Device complexity
If multiband resource allocation is performed without UE preference indication, then system complexity is reduced, but resource allocation optimality deteriorates
Solution Approach 1:
The patent applies self-service by having the UE indicate its own preference for multiband resources to the gNB. The UE autonomously determines and reports its preference based on its distance from the gNB and signal conditions. This self-service mechanism resolves the contradiction by enabling optimal allocation without complex centralized control.
Solution Approach 2:
The patent introduces feedback by having the UE report its resource allocation preference to the gNB. The gNB uses this feedback information to make informed allocation decisions, matching high-band or low-band resources to UE needs. This feedback loop resolves the contradiction by providing the gNB with necessary information for optimal allocation without excessive system complexity.
Data Source
AI summary
A method is described that involves a method for dual connectivity at a network device in a wireless communication system. The method includes determining at a UE a preferred allocation of multiband resources to be allocated by a gNB, sending, by the UE, a request to the gNB that includes data effective to cause the gNB to respond by allocating the preferred allocation of multiband resources, and receiving a first allocation of the multiband resources from the gNB, where the gNB provides the first allocation of the multiband resources based on the data effective to cause the gNB to allocate the preferred allocation of multiband resources.