UE TDD Pattern Selection Using QoS-Based Traffic Differentiation
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Solution Overview
Problem
Current mobile network operators use a single TDD pattern for their entire network, which may result in suboptimal spectrum usage for certain services due to undifferentiated traffic handling by base stations, leading to poor performance for services with asymmetric data transmission needs.
Innovation Solution
A base station selects and configures different TDD patterns for a UE based on quality-of-service (QoS) parameters associated with various traffic flows, using QoS parameters like ARP, QCI, or 5QI to identify services and adjust TDD patterns accordingly, potentially switching between patterns as service needs change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single TDD pattern is used for the entire network, then network configuration is simple, but spectrum usage is suboptimal for services with asymmetric data transmission needs
Solution Approach 1:
The patent segments the network configuration by service type, assigning different TDD patterns to different services (e.g., voice calling, video streaming, data downloads) based on their asymmetric data transmission needs. This allows each service to receive optimized spectrum allocation while maintaining overall network simplicity through automated service-based classification.
2Adaptability or versatility
If packet inspection is performed to differentiate traffic types, then service-specific TDD pattern selection becomes possible, but service performance may be degraded
Solution Approach 1:
The patent implements feedback mechanisms where the base station receives QoS parameters from the core network that indicate service type and traffic characteristics. This feedback allows the base station to automatically select appropriate TDD patterns without requiring packet inspection, maintaining service performance while enabling service-specific optimization.
3Reliability
If a 50:50 TDD pattern is used, then voice calling and video calling services are supported well, but video streaming and data downloads perform poorly due to insufficient downlink capacity
Solution Approach 1:
The patent applies local quality by assigning different TDD patterns to different services based on their specific requirements. Voice calling services receive 50:50 patterns for balanced uplink-downlink communication, while video streaming and data download services receive downlink-heavy patterns (e.g., 70:30 or 80:20) to optimize downlink capacity for their specific needs.
Data Source
AI summary
A base station configured to select a time division duplex (TDD) pattern for a user equipment (UE) is described herein. The base station determines a QoS parameter associated with a traffic flow for a UE, selects a TDD pattern for the UE based on the QoS parameter, and configures the UE with the TDD pattern. The base station may select different TDD patterns for the UE based on different QoS parameters associated with different traffic flows of the UE.