返回
A Mixed-Integer Linear Programming Approach to Deploying Base Stations and Repeaters
DOI:10.1109/LCOMM.2023.3324395.png)
摘要
En 中文
A novel integer linear programming (ILP) formulation of deploying base stations and repeaters to meet a target coverage of traffic points (TPs) with minimum cost is presented, where the number of discrete variables approximately equals the sum between the number of TPs and the number of backhaul links. The ILP is proved equivalent to a mixed-ILP (MILP) where the number of discrete variables is reduced by the number of TPs. Our MILP approach always yields optimal deployment solutions. A case study is presented to demonstrate the benefits of using repeaters based on the optimal solutions of the MILP.
Keyword:
Optimal network deployment
repeaters
mixed-integer linear programming
network coverage
millimeter-wave technology
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
机构
引用论文
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems6g无线系统的愿景: 应用,趋势,技术和开放研究问题
IEEE NETWORK
IF6.3
A Data-Driven Multiobjective Optimization Framework for Hyperdense 5G Network Planning
IEEE ACCESS
IF3.6

