Uplink Bandwidth Balancing in Relay Cellular Networks
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Solution Overview
Problem
Existing uplink scheduling solutions in relay assisted cellular networks face inefficiencies, including deviation from standards, inability to handle complex application priorities, administrative overheads, inefficient resource utilization, and lack of fair scheduling and overload handling.
Innovation Solution
An intelligent uplink bandwidth load balancer is introduced, which computes static and dynamic load values of data packets and balances uplink bandwidth utilization between mobile users/devices and the base station using scheduler context data, incorporating modules for load calculation and load balancing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If existing uplink scheduling solutions are used (sharing load status indicator bit, predetermined bandwidth support), then implementation is simpler, but uplink bandwidth utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic uplink bandwidth allocation by continuously monitoring buffer status reports and adjusting grant sizes based on real-time load conditions. The scheduler dynamically adapts bandwidth allocation to actual traffic demands rather than using predetermined fixed allocations, thereby improving uplink bandwidth utilization efficiency while maintaining manageable complexity through standardized procedures.
Solution Approach 2:
The patent employs feedback mechanisms where relay nodes report buffer status and load conditions to the base station scheduler. The scheduler uses this feedback information to adjust uplink grant sizes and bandwidth allocation in subsequent scheduling decisions, creating a closed-loop system that optimizes bandwidth utilization based on actual network conditions.
2Reliability
If time division scheduling per link basis is used, then resource allocation is more controlled, but administrative overhead increases
Solution Approach 1:
The patent merges the scheduling functions for multiple relay nodes and mobile users into a unified uplink scheduling process at the base station. Instead of separate time division scheduling for each link, the scheduler consolidates buffer status information from multiple sources and performs integrated bandwidth allocation, reducing administrative overhead while maintaining control over resource distribution.
Solution Approach 2:
The patent creates a universal scheduling framework that handles multiple types of traffic (different QoS requirements, different user priorities) through a single scheduling mechanism. The scheduler performs multiple functions including buffer status monitoring, grant size calculation, QoS enforcement, and bandwidth optimization within one unified process, eliminating the need for separate specialized scheduling procedures.
3Loss of energy
If consolidated UL buffer status reporting is implemented, then signaling overhead is reduced, but scheduling precision deteriorates
Solution Approach 1:
The patent segments the buffer status reporting into hierarchical levels: relay nodes report consolidated buffer status to the base station, and the scheduler segments this information by traffic type, QoS class, and user priority. This segmentation allows efficient aggregation reporting to reduce signaling overhead while maintaining precise scheduling decisions through detailed categorization of the reported status.
Solution Approach 2:
The patent changes the parameters of buffer status reporting by encoding multiple pieces of information (buffer levels, traffic types, QoS requirements) into compact representations. The scheduler interprets these parameter-encoded reports to make precise scheduling decisions, achieving both reduced signaling overhead and maintained scheduling precision through efficient parameter utilization.
Data Source
AI summary
A system and method for balancing uplink (UL) bandwidth utilization in a relay assisted cellular network are disclosed. In one embodiment, scheduler context data associated with one or more mobile users/devices connected to the relay assisted cellular network is obtained. Further, static and dynamic load values of data packets coming from the one or more mobile users or devices are computed using the obtained scheduler context data. Furthermore, UL bandwidth utilization between the one or more mobile users or devices and a base station in the relay assisted cellular network is balanced using the computed static and dynamic load values.