Service-Aware EUL Scheduling for WCDMA Network Capacity
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Solution Overview
Problem
Current mechanisms for predicting enhanced uplink interference headroom in WCDMA networks are inflexible and result in a trade-off between terminal transmission power and cell capacity, limiting network efficiency.
Innovation Solution
A method and device that acquire information on the type of communication service for each terminal, allowing for scheduling data transmissions based on service-specific traffic patterns, enabling more efficient use of network resources by scheduling secondary terminals during periods of communication inactivity of primary terminals, and temporarily reallocating resources to maximize network throughput without compromising quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conservative prediction mechanisms based on SIR and RTWP measurements are used, then interference headroom is predicted, but network capacity is reduced due to inflexible scheduling
Solution Approach 1:
The patent changes the prediction parameters from traditional SIR/RTWP measurements to service-type-based predictions. By categorizing terminals according to their communication services (e.g., voice, video, data) and using service-specific traffic patterns, the system achieves more accurate interference headroom predictions that reflect actual service requirements rather than just signal measurements, thereby enabling better capacity utilization.
Solution Approach 2:
The scheduling system transitions from static, conservative scheduling to dynamic, service-aware scheduling. The scheduler continuously adapts its decisions based on real-time service type identification and predicted traffic patterns, allowing flexible adjustment of transmission parameters to match actual network conditions and service demands, thus optimizing both reliability and productivity.
2Speed
If high terminal transmission power is allowed, then data transmission rate is improved, but cell capacity is reduced due to increased interference
Solution Approach 1:
The patent applies local quality by differentiating transmission parameters based on service types and terminal characteristics. Instead of uniform power allocation, the system assigns appropriate transmission powers and scheduling priorities according to the specific communication service (e.g., higher power for voice during critical periods, adaptive power for data services), optimizing the balance between individual transmission rate and overall cell capacity.
Solution Approach 2:
The system performs preliminary action by predicting future traffic patterns based on service types before actual data transmission occurs. By anticipating when high-rate transmission will be needed and pre-allocating resources accordingly, the system can allow higher transmission powers during predictable low-interference periods while maintaining capacity during peak interference periods.
3Productivity
If service-aware scheduling is implemented, then resource allocation is optimized, but scheduling complexity increases
Solution Approach 1:
The patent segments the scheduling problem by categorizing terminals into different service types (voice, video, data, etc.). This segmentation simplifies the complex task of service-aware scheduling by handling each service category with dedicated prediction models and scheduling strategies, making the overall system more manageable while achieving optimized resource allocation across diverse services.
Solution Approach 2:
The system implements self-service by having terminals self-identify their service types and traffic patterns, reducing the burden on the network scheduler. Terminals provide information about their service requirements and current conditions, enabling the scheduler to make informed decisions without requiring complex centralized analysis of every individual terminal's needs, thus reducing scheduling complexity while maintaining high throughput.
Data Source
AI summary
The present invention relates to a method and device for scheduling transmission of data of terminals in a cell. To this end, information is acquired indicating type of communication service for which a first terminal is to be scheduled. Then, the first terminal and at least a second terminal in the cell is scheduled for transmission of data on the basis of the acquired information indicating the type of communication service for which the first terminal is to be scheduled, the at least second terminal being scheduled for data transmission in time periods between data transmissions of the first terminal.