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Distributed-Optimization-with-Centralized-Refining
- Citation Author(s):
- Submitted by:
- Jiyang Bai
- Last updated:
- Tue, 03/19/2024 - 16:30
- DOI:
- 10.21227/kzja-gd50
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
Distributed-Optimization with Centralized-Refining (DO-CR) mechanism to achieve more efficient resource allocation by engaging both access point and all devices. Specifically, the new DO-CR mechanism first utilizes the distributed processing capacity of all devices, allowing them to optimize their own resource allocation schemes through a new resource reservation and reporting technique. Then a centralized optimizer generates a graph of resource trading topology based on individual optimization results and achieves the Pareto optimal solution by the graph-based algorithm. This Pareto optimal solution simplifies the overall optimization problem and enables the central optimizer to solve it with smaller feasible regions
This project includes time limited optimization process of both linear objective function and non-linear objective function. Please following the Note.txt in each file to run the simulation.
Suggested citation: J. Bai and X. Wang, "Distributed-Optimization with Centralized-Refining for Efficient Resource Allocation in Future Wireless Networks," in IEEE Transactions on Communications, doi: 10.1109/TCOMM.2024.3379368.