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Edge station deployment by fewest covered user first for cost improvement
Kaili Shao1, Yuping Wang2, Bo Wang3
1Faculty of Engineering, Huanghe Science and Technology University, No. 666, South Zijing Mountain Road, Zhengzhou, 450002, China.
Scientific Reports
|April 16, 2026
Summary
This study presents a new heuristic algorithm for the edge station deployment problem (ESDP) to maximize user coverage and minimize costs. The method efficiently identifies optimal edge station locations, achieving full coverage with reduced expenses.
Area of Science:
- Operations Research
- Computer Science
- Telecommunications Engineering
Background:
- The edge station deployment problem (ESDP) is crucial for optimizing network infrastructure.
- Maximizing user coverage while minimizing deployment costs presents a significant challenge.
Purpose of the Study:
- To develop an efficient algorithm for solving the NP-hard edge station deployment problem.
- To determine optimal edge station sites for enhanced user coverage and reduced costs.
Main Methods:
- Formulated the ESDP as a binary linear programming model.
- Proved the NP-hardness of ESDP via reduction from the set covering problem.
- Developed a novel heuristic algorithm prioritizing users with limited site coverage options.
Main Results:
- The proposed heuristic algorithm solves the ESDP in polynomial time.
- Achieved 100% user coverage in simulations using a real-world dataset.
- Demonstrated lower deployment costs compared to existing algorithms.
Conclusions:
- The novel heuristic algorithm is effective for the edge station deployment problem.
- Offers a practical solution for optimizing edge station placement.
- Provides a cost-efficient approach to maximizing network coverage.
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