Hence, additional base stations (BSs) may be needed to satisfy the new demand. This case addresses the application of dynamic permanent demand for service such as establishing a new residential area over several time periods where new demand clusters are created in each time period as the residential area expands.
Some studies optimize the location of BSs in wireless communication networks through exact solution approaches such as mixed integer linear programs (MILP) and algorithmic approaches , , .
However, if higher height and power of the transmitters are considered, higher coverage could be obtained but without satisfying the quality-of-service constraint. Moreover, the optimal number of BSs and their location might be different when considering some additional candidate sites.
The proposed optimization model for locating BSs to serve mobile users in a given geographical area is presented in Section 3. In Section 4, experimental results are provided for two scenarios that cover Cases A and B. Finally, concluding remarks with possible future extensions are provided in Section 5.
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The loss of capacity is shown for a wide range of tilts and different antenna directions. Nonuniform distribution of base stations has been also included in the simulation scenarios influencing...
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The electric field distribution near the tower with the base station, the electric field distribution characteristics under different base station installation quantities and different …
I. INTRODUCTION Driven by the explosive installment of base stations (BSs) globally recently, the issue of the optimal BS deployment, i.e., a collection of BSs distributed …
With the development of 5G technology, the communication bandwidth is increasing, the coverage of the base station is getting smaller and smaller, and the types and …
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