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 ap...
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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 optimaldeployment solutions. A case study is presented to demonstrate the benefits of using repeaters based on the optimal solutions of the MILP.
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