This system provides a solution for resolving conflicts between xApps (cross applications) in a network environment. It utilizes an auction-based mechanism to determine the optimal parameter values for conflicting parameters, allowing xApps to submit bids for various values they desire to set.
- Allows xApps to submit multiple bids for conflicting parameters.
- Implements an auction algorithm to determine the final winner for each parameter.
- Supports multiple xApps with multiple conflicting parameters.
- Provides flexibility in defining objectives and parameters for each xApp. Limitations
- The current auction algorithm is too simplistic and does not assure Incentive compatibility, individual rationality, and budget balance.
The input data for the auction algorithm is provided in a CSV file. Each row represents a bid submitted by an xApp for a particular parameter. The CSV file should have the following format:
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Columns:
xApp: Name of the xApp submitting the bid.ICP (Input Control Parameter): The parameter for which the bid is submitted.Desired Value: The desired value for the parameter.Bid Amount: The amount bid by the xApp for the desired value.
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Example: xApp,ICP (Input Control Parameter),Desired Value,Bid Amount MLB,TXP,10,50 MLB,TXP,15,30 MLB,TTT,5,20 CCO,TXP,100,70 CCO,TXP,90,40 CCO,RET,10,60 ES,TXP,50,80 MRO,TXP,20,30 MRO,TXP,25,50 MRO,CIO,3,40
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Input Data: Define the bids data for xApps and their desired parameter values in a CSV file following the specified format.
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Auction Algorithm: Run the provided Python notebook (
auction_conflict_resolution.py). The notebook reads the bids data from the CSV file, conducts the auction, and determines the winning bids for each parameter. -
Output: The auction algorithm outputs the winning bids for each parameter, along with the corresponding xApp name and bid amount. These results can be used to resolve conflicts between xApps effectively.
An example CSV file (xapps_info.csv) and Python notebook (auction_conflict_resolution.py) are provided to demonstrate the usage of the system. You can customize the bids data according to your network environment and objectives.
- Abdul Wadud, Fatemeh Golpayegani, and Nima Afraz. "Conflict Management in the Near-RT-RIC of Open RAN: A Game Theoretic Approach." 2023. arXiv:2311.13389
If you would like to contribute to this project or have any suggestions for improvements, please feel free to open an issue or a pull request.