Distributed-Optimization-with-Centralized-Refining

Citation Author(s):
Jiyang
Bai
Xianbin
Wang
Submitted by:
Jiyang Bai
Last updated:
Tue, 03/19/2024 - 16:30
DOI:
10.21227/kzja-gd50
Data Format:
License:
0
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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

Instructions: 

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.