Multipoint RLC Coordinator for Backhaul Resource Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Next-generation densely-deployed networks face inefficiencies in utilizing backhaul resources due to higher data rates and sharing among multiple access points, leading to constrained data forwarding rates, particularly in multipoint reception scenarios where redundant data is unnecessarily communicated over backhaul links.
Innovation Solution
Implementing a multipoint RLC coordinator that performs lower-layer decoding of wireless transmissions at access points to obtain transport blocks, which are then strategically scheduled over backhaul links, reducing overhead and optimizing resource utilization by prioritizing time-sensitive data and rerouting to maximize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If all access points forward received data over backhaul links in multipoint reception scenarios, then data redundancy is eliminated and backhaul resource efficiency is improved, but coordination complexity between access points and network nodes increases
Solution Approach 1:
A multipoint RLC coordinator is introduced as an intermediary component at the network node to manage and coordinate data forwarding from multiple access points. The coordinator receives coordination information from access points indicating which transport blocks have been successfully decoded, and uses this information to schedule backhaul resource allocation, thereby reducing redundant data transmission while managing coordination complexity through a dedicated control mechanism
Solution Approach 2:
The system implements a feedback mechanism where access points send coordination information to the network node about their decoding status of transport blocks. This feedback enables the network node to make informed scheduling decisions about backhaul resource allocation, allowing efficient suppression of redundant data transmission based on real-time decoding status information from multiple access points
2Productivity
If backhaul resources are shared among greater numbers of access points in densely deployed networks, then network capacity utilization is improved, but data forwarding rates become constrained by backhaul capacity
Solution Approach 1:
Instead of having all access points forward all received data over backhaul links, the system uses partial action by selectively forwarding only those transport blocks that are actually needed. The multipoint RLC coordinator determines which access points should forward data based on decoding status information, thereby utilizing backhaul resources more efficiently without constraining data forwarding rates through unnecessary redundancy
Solution Approach 2:
The system changes the parameter of data forwarding by transforming it from a blanket approach (all access points forward all data) to a selective approach (only specific access points forward specific transport blocks). This parameter change is enabled by the coordination mechanism that tracks decoding status and dynamically adjusts forwarding requirements, thereby improving both backhaul utilization and maintaining data forwarding rates
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
Backhaul resource utilization efficiency can be improved by performing lower-layer decoding of uplink transmissions at access points to obtain transport blocks carried by the uplink transmissions, and then strategically scheduling the transport blocks over backhaul links extending between the access points and network nodes. Upon reception, the network nodes may perform radio link control (RLC) decoding of the transport blocks to obtain the uplink data. Transport blocks may be scheduled a manner that prioritizes time-sensitive data (e.g., voice traffic), or in a manner that strategically routes transport blocks over backhaul paths to increase the overall utilization of backhaul resources.