Fixed Wireless Access Prescheduling for Low-Latency Traffic
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Solution Overview
Problem
Conventional cellular and Internet networking fail to adjust rapidly to changes in uplink and downlink data rates while meeting strict latency requirements, especially for applications like extended reality and augmented-reality wearable devices, which demand flexible support for both indoor network usage and mobile traffic.
Innovation Solution
Implementing uplink and downlink prescheduling in fixed wireless access networks, where a base station proactively allocates resources through blind grants for uplink data and dynamic scheduling for downlink data, adjusting to traffic and network conditions to reduce latency and enhance bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional cellular and Internet networking are used, then network infrastructure is simple and cost-effective, but the system cannot adjust rapidly to changes in uplink and downlink data rates while meeting strict latency requirements
Solution Approach 1:
The patent implements prescheduling mechanisms where the base station proactively allocates uplink resources to user equipment before data transmission is needed. This preliminary action eliminates the delay of waiting for scheduling requests and grants, enabling rapid adjustment to data rate changes while maintaining low latency for extended reality applications
2Adaptability or versatility
If conventional scheduling is used, then system complexity is low, but the system cannot flexibly support both indoor network usage and mobile traffic with stringent latency and throughput requirements
Solution Approach 1:
The patent employs dynamic scheduling mechanisms that adapt resource allocation based on real-time network conditions and traffic requirements. The base station can flexibly switch between different scheduling modes to support both indoor fixed wireless access and mobile extended reality traffic, adjusting uplink and downlink resource distribution dynamically without requiring complex reconfiguration
Solution Approach 2:
The system changes scheduling parameters such as grant allocation, resource block assignment, and modulation schemes based on detected traffic patterns and quality of service requirements. This allows the network to adapt to different application demands while maintaining manageable system complexity through parameter adjustment rather than structural changes
3Loss of time
If prescheduling with blind grants is implemented for uplink, then uplink latency is reduced, but network resource allocation becomes more complex
Solution Approach 1:
The base station sends blind grants to user equipment in advance, allocating uplink resources before data transmission is initiated. This preliminary resource allocation eliminates the need for scheduling requests and waiting for grants, significantly reducing uplink latency for extended reality applications while managing complexity through automated grant management
Data Source
AI summary
A base station receives a request from a fixed wireless access network for uplink and downlink prescheduling. Blind grants for uplink data are sent to multiple subscriber units. The fixed wireless access network implements dynamic scheduling of downlink data. The uplink data is received from the multiple subscriber units based on the blind grants. The downlink data is sent to the multiple subscriber units using dynamic scheduling. Presence of congestion on a physical uplink shared channel (PUSCH) or a physical downlink shared channel (PDSCH) of the fixed wireless access network is determined. The uplink and downlink prescheduling for a first one or more subscriber units is terminated. The first one or more subscriber units is associated with a first subscription tier. The uplink and downlink prescheduling is continued for a second one or more subscriber units associated with a second subscription tier higher than the first subscription tier.