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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:
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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