NodeB Noise Level Communication for HSUPA Scheduling
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Solution Overview
Problem
In the UMTS network, the decentralized scheduling in HSUPA for WCDMA systems faces challenges in adapting to instantaneous traffic variability due to bandwidth constraints, leading to inefficient resource allocation and noise rise management, especially during soft handover scenarios.
Innovation Solution
A communication flow is designed to allow the NodeB to measure or be signaled the thermal plus background noise level (Prx—noise) by the RNC, enabling flexible scheduling decisions and ensuring a consistent reference for noise management, allowing the NodeB to use either measured or signaled values for scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the packet scheduler is located in the RNC, then the scheduling decisions can be made with broader network visibility, but the scheduling response speed is slow and cannot quickly adapt to instantaneous traffic variability
Solution Approach 1:
The packet scheduler functionality is segmented and relocated from the RNC to the NodeB, enabling faster local response to traffic changes while maintaining network control through RNC signaling interfaces. This segmentation allows the NodeB to independently make rapid scheduling decisions without waiting for RNC processing.
Solution Approach 2:
The NodeB acts as an intermediary between the UE and the RNC, taking over scheduling decisions to enable fast response while the RNC provides higher-level control through signaling. This intermediary role allows rapid adaptation to instantaneous traffic variability while maintaining overall network coordination.
2Adaptability or versatility
If the NodeB implements decentralized scheduling, then the scheduling flexibility and response speed improve, but the noise rise management becomes more difficult due to lack of centralized coordination
Solution Approach 1:
The NodeB continuously monitors noise rise levels and uses this feedback to dynamically adjust scheduling decisions. When noise rise exceeds thresholds, the NodeB can immediately modify allocations to maintain reliable communication, enabling both flexibility and reliable noise control through closed-loop feedback.
Solution Approach 2:
The scheduling system transitions from static centralized control to dynamic decentralized control, where the NodeB can real-time adjust scheduling parameters based on instantaneous traffic conditions and noise levels, providing both flexibility and adaptive noise management.
3Measurement precision
If the NodeB measures Prx-noise locally, then the scheduling accuracy improves, but the measurement capability requirements and device complexity increase
Solution Approach 1:
The NodeB performs self-measurement of Prx-noise using its own received signal strength indicators, eliminating the need for external measurement equipment. The NodeB uses its existing reception chain to measure noise levels, providing accurate local measurements without adding complex external measurement devices.
Solution Approach 2:
The NodeB uses copies of its own received signal strength measurements to infer Prx-noise values, rather than requiring separate dedicated measurement instruments. This copying approach allows the NodeB to measure noise levels using existing components already present in the reception path.
Data Source
AI summary
A communication flow for HSUPA is shown that allows a NodeB to measure the thermal plus background noise level (Prx<sub2>—</sub2>noise), and at the same time which also allows the RNC, according to its own (centralized) strategy, to overwrite the very same value that is then used in NodeB (de-centralized) scheduling.