Comparison and evaluation of multiple objective genetic algorithms for the antenna placement problem

L Raisanen, RM Whitaker - Mobile Networks and Applications, 2005 - Springer
The antenna placement problem, or cell planning problem, involves locating and configuring
infrastructure for cellular wireless networks. From candidate site locations, a set needs to be …

Wireless heterogeneous transmitter placement using multiobjective variable-length genetic algorithm

CK Ting, CN Lee, HC Chang… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
The problem of placing wireless transmitters to meet particular objectives, such as coverage
and cost, has proven to be NP-hard. Furthermore, the heterogeneity of wireless networks …

Evolutionary multiobjective optimization of cellular base station locations using modified NSGA-II

N Lakshminarasimman, S Baskar, A Alphones… - Wireless …, 2011 - Springer
In this paper, various parameters of cellular base station (BS) placement problem such as
site coordinates, transmitting power, height and tilt angle are determined using evolutionary …

Models and solvers for coverage optimisation in cellular networks: Review and analysis

ZA Dahi, JÁ Morell - 2022 IEEE 9th International Conference on …, 2022 - ieeexplore.ieee.org
Cellular phone networks are one of the most widely-used means of communication whose
design is a quality-determining task. During the former step many engineering problems …

On solving wcdma network planning using iterative power control scheme and evolutionary multiobjective algorithm [application notes]

HL Liu, F Gu, YM Cheung, S Xie… - IEEE Computational …, 2014 - ieeexplore.ieee.org
Due to the increasing demand for mobile radio services, 3G wireless network planning has
been becoming one of the most important research f ields. 3G system, eg WCDMA, is based …

Base Station Planning Based on Region Division and Mean Shift Clustering

J Chen, Y Shi, J Sun, J Li, J Xu - Mathematics, 2023 - mdpi.com
The problem of insufficient signal coverage of 5G base stations can be solved by building
new base stations in areas with weak signal coverage. However, due to construction costs …

A genetic algorithm based decision support system for the multi-objective node placement problem in next wireless generation network

O Abdelkhalek, S Krichen, A Guitouni - Applied Soft Computing, 2015 - Elsevier
The node placement problem involves positioning and configuring infrastructure for wireless
networks. Applied to next generation networks, it establishes a new wireless architecture …

Evolutionary algorithms for solving the automatic cell planning problem: a survey

F Luna, JJ Durillo, AJ Nebro, E Alba - Engineering Optimization, 2010 - Taylor & Francis
Automatic cell planning (ACP) is an optimization problem from the mobile
telecommunications domain that addresses finding the location of the network antennae as …

Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation

F Gu, H Liu, YM Cheung, S Xie - Knowledge and Information Systems, 2015 - Springer
The wideband code division multiple access (WCDMA) network planning problem requires
to determine the location and the configuration parameters of the base stations (BSs) so as …

Optimal base station location in LTE heterogeneous network using non-dominated sorting genetic algorithm II

OM Amine, Z Sylia, K Selia… - International journal of …, 2018 - inderscienceonline.com
The main objective of the radio network planning is to provide a cost-effective solution for the
radio network in terms of coverage, capacity and quality of service. The network planning …