RAN Agent Coordination Using Value Functions to Avoid Conflicts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In mobile cellular networks, multiple agents with conflicting intents and actions, such as self-organizing network (SON) agents, core network agents, and network slicing agents, often lead to uncoordinated network conflicts that violate service-level agreements (SLAs) and increase network load, making it difficult to manage and configure cells due to their operation by different vendors and departments.
Innovation Solution
A decentralized or centralized coordination mechanism using edge value functions and optimization algorithms that allow agents to select actions that are locally optimal while minimizing conflicts, involving the use of value functions and message passing algorithms to determine joint actions across agents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If multiple agents independently optimize network parameters to reduce energy consumption, then energy efficiency improves, but network conflicts increase and service-level agreements are violated
Solution Approach 1:
The patent introduces a coordination mechanism that acts as an intermediary between multiple autonomous agents. This mediator collects intent information from agents, detects conflicts using value functions, and resolves them through coordinated decision-making, allowing energy optimization while preventing SLA violations.
Solution Approach 2:
The system implements feedback loops where agents continuously report their intended actions and received coordination decisions. The coordination mechanism uses value functions to evaluate the impact of agent actions on network KPIs and adjusts decisions accordingly, creating a closed-loop control system that balances energy efficiency with reliability.
2Adaptability or versatility
If agents from different vendors and departments operate independently, then system autonomy and adaptability improve, but coordination difficulty increases
Solution Approach 1:
The patent creates a universal coordination mechanism that can handle multiple types of agents from different vendors and domains through a standardized interface. The value function framework provides a common language for expressing agent intents and evaluating conflicts, enabling heterogeneous agents to coordinate without increasing operational complexity.
3Productivity
If agents modify network parameters aggressively to improve performance, then optimization speed increases, but network stability decreases
Solution Approach 1:
The coordination mechanism allows agents to propose aggressive optimization actions but applies partial modification through conflict resolution. The value function evaluation determines the appropriate level of parameter adjustment, preventing excessive changes that would destabilize the network while still achieving performance improvement through coordinated incremental adjustments.
Data Source
AI summary
A method is provided for coordinating nodes in a radio access network to optimize radio network operations. The method includes obtaining a topology of a plurality of network nodes in the radio access network. The method includes obtaining, for each network node of the plurality of network nodes, a plurality of potential actions each network node can perform in the radio access network to optimize one or more radio network operations. The method includes obtaining, for each network node of the plurality of network nodes, an optimization function. The method includes determining an action from the plurality of potential actions for a first network node of the plurality of network nodes to perform based on the plurality of potential actions and an optimization function.