Work

The automatic location of base-stations for optimised cellular coverage: a new combinatorial approach

Year: 2003

Type: conference-paper

Abstract: The cost and complexity of a network is closely related to the number of base-stations (BSs) required to achieve the system operator's service objectives. The location of BSs is not an easy task and there are numerous factors that must be taken into account when deciding the optimum position of BSs. This paper discusses the performance of three different algorithms developed to solve the BS location problem: the greedy algorithm (GR), the genetic algorithm (GA) and the combination algorithm for total optimisation (CAT). These three methods are compared and results are given for a typical test scenario.

Source: IEEE Vehicular Technology Conference

DOI: 10.1109/vetec.1999.778212

Authors: A. Molina, G.E. Athanasiadou, A.R. Nix

Institution: University of Bristol

Language: English

Topic: Facility Location and Emergency Management

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W1852593402

FWCI: 96.99

Cites: 5

Cited by: 107

Related to: 10