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Evolutionary algorithms for optimal placement of antennae in radio network design

E. Alba
18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.  
In this paper, evolutionary algorithms (EAs) are applied to solve the radio network design problem (RND).  ...  , radio network design, performance evaluation.  ...  Vallejo for his help.  ... 
doi:10.1109/ipdps.2004.1303166 dblp:conf/ipps/Alba04 fatcat:wytbelloz5gclm7lp7jzmupl7i

A Study of the Effects of Clustering and Local Search on Radio Network Design: Evolutionary Computation Approaches

Yago Saez, Fernando Zazo, Pedro Isasi
2008 2008 Eighth International Conference on Hybrid Intelligent Systems  
The goal of this paper is twofold. First, we want to make a study about how evolutionary computation techniques can efficiently solve the radio network design problem.  ...  Experiments carried out provide empirical evidence of how clustering-based techniques help in improving all algorithms tested.  ...  Evolutionary computation for radio network design problems As mentioned before, the OPLINK environment is a complex NP-hard optimization problem with a large search space.  ... 
doi:10.1109/his.2008.99 dblp:conf/his/SaezZI08 fatcat:6vy2pyixcbceplzx6lnhcxaqvi

Processor for Measuring Radio Network Design Quality

Juan A Gomez-Pulido, Silvio Priem Mendes, Miguel A Vega-Rodriguez, Paulo J Cordeiro, Juan M Sanchez-Perez
2011 Wireless Engineering and Technology  
This problem consists in the search for an optimal set of locations in which to place radio antennas in order to obtain the maximum possible coverage, for a given terrain and antenna characteristics.  ...  network design optimization problem.  ...  Acknowledgements This work was partially funded by the Spanish Ministry of Science and Innovation and ERDF (the European Regional Development Fund), under the contract TIN2008-06491-C04-04 (the MSTAR project  ... 
doi:10.4236/wet.2011.23028 fatcat:i3j6ws67erchtp4ge5mpczy2ma

Genetic Algorithm Aided Antenna Placement in 3D and Parameter Determination Considering Electromagnetic Field Pollution Constraints

Tomislav Rolich, Darko Grundler
2012 Journal of Computing and Information Technology  
This paper presents genetic algorithm based method for antenna placement in 3D space and parameter determination satisfying environmental electromagnetic field pollution constraints.  ...  The main goal is to find out antenna parameters (power, position in 3D, azimuth and elevation) in the area of interest so that electromagnetic field satisfies minimal electromagnetic field strength for  ...  Radio network design is a fundamental problem in cellular networks for telecommunications.  ... 
doi:10.2498/cit.1002022 fatcat:sp3b64hxibderl7xmb7m6sm73y

Field-Based Optimal Placement of Antennas for Body-Worn Wireless Sensors

Łukasz Januszkiewicz, Paolo Di Barba, Sławomir Hausman
2016 Sensors  
Our optimization scheme employs evolutionary computing.  ...  We investigate a case of automated energy-budget-aware optimization of the physical position of nodes (sensors) in a Wireless Body Area Network (WBAN).  ...  Also nature-mimicking algorithms are successfully exploited in WBAN design: for instance, [7] presents a fast evolutionary algorithm inspired by an ant colony; the case study is the optimal design of  ... 
doi:10.3390/s16050713 pmid:27196911 pmcid:PMC4883404 fatcat:muiszsqhlvgbbm5exechk2dph4

Solving the Wireless Mesh Network Design Problem using Genetic Algorithm and Simulated Annealing Optimization Methods

Moheb R.Girgis, Tarek M. Mahmoud, Bahgat A. Abdullatif, Ahmed M. Rabie
2014 International Journal of Computer Applications  
Experimental results proved that the performance of the genetic algorithm and simulated annealing in minimizing WMN network costs while satisfying quality of service.  ...  Mesh clients, mesh routers and gateways are components of Wireless Mesh Network (WMN). In WMN, gateways connect to Internet using wireline links and supply Internet access services for users.  ...  GAs are evolutionary algorithms designed to apply the selection operation as it happens in nature.  ... 
doi:10.5120/16835-6680 fatcat:zbryrlx2ffgyldxfouwquosm4i

Multi-Objective Optimization of a Wireless Body Area Network for Varying Body Positions

Łukasz Januszkiewicz, Paolo Di Barba, Sławomir Hausman
2018 Sensors  
The optimal design procedure exploits a low-cost Estra, which is an evolutionary strategy optimization algorithm linked with Remcom XFdtd, a full-wave Finite-Difference Time-Domain (FDTD) electromagnetic  ...  The purpose of this research was to improve the performance of a wireless body area sensor network, operating on a person in the seated and standing positions.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s18103406 pmid:30314345 pmcid:PMC6210086 fatcat:ifwuprzxtjh3pif2kj73pimme4

Evolutionary Algorithms for 5G Multi-Tier Radio Access Network Planning

Hassana Ganame, Liu Yingzhuang, Aymen Hamrouni, Hakim Ghazzai, Hua Chen
2021 IEEE Access  
the 2%, for different scenarios and illustrate the efficiency of the evolutionary algorithms in solving this NP-hard problem in reasonable running time.  ...  In this paper, we investigate the planning process for a 5G radio access network having mmWave Micro Remote Radio Units (mRRUs) on top of sub-6 GHz Macro Remote Radio Units (MRRUs).  ...  essential for optimized placement of the radio access networks.  ... 
doi:10.1109/access.2021.3058619 fatcat:f2knc4umdveddogrbaprabspwq

Optimal antenna placement using a new multi-objective chc algorithm

Antonio J. Nebro, Enrique Alba, Guillermo Molina, Francisco Chicano, Francisco Luna, Juan J. Durillo
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
Radio network design (RND) is a fundamental problem in cellular networks for telecommunications.  ...  The problem may be reduced to figure out the optimal placement of antennae out of a list of candidate sites trying to satisfy two objectives: to maximize the area covered by the radio signal and to reduce  ...  ACKNOWLEDGEMENTS The authors are partially supported by the Spanish Ministry of Education and Science, and by European FEDER under contract TIN2005-08818-C04-01 (the OPLINK project,  ... 
doi:10.1145/1276958.1277128 dblp:conf/gecco/NebroAMCLD07 fatcat:cxcg5lq4o5hcxkqshsauvdv23e

Table of contents

2019 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)  
352 Optimal Switching Algorithm for Different Topologies of 15-Level Inverter Using Genetic Algorithm 63 359 Development of a Hybrid Bayesian Network Model for Hydraulic Simulation of 64 iii  ...  510 Utilization-aware Virtual Network Function Placement Using NSGA-II Evolutionary Computing 89 515 Performance improvement and hardware implementation of OpenFlow switch using FPGA 90 521 Procedural  ... 
doi:10.1109/kbei.2019.8735099 fatcat:je2kzjeqrnh2pd3jlnswms2l74

Optimum 2-D LOS MIMO Performance Using Omni-directional Antennas Attained through Genetic Algorithms

Ian B. Haya, Brent R. Petersen, Bruce G. Colpitts
2008 6th Annual Communication Networks and Services Research Conference (cnsr 2008)  
mum 2-D LOS MIMO performance using omni-directional antennas attained through genetic algorithms, "  ...  It is proposed that through the use of a genetic algorithm optimization, for a given placement of users in the space, an optimum antenna placement can be achieved.  ...  GA Optimization Design Antenna DNA In this simulation, the placement of the four antennas is chosen as the individuals DNA structure.  ... 
doi:10.1109/cnsr.2008.56 dblp:conf/cnsr/HayaPC08 fatcat:wsrvnb24azgz7eefsogvsaaskm

2018 IndexIEEE Wireless Communications LettersVol. 7

2018 IEEE Wireless Communications Letters  
., +, LWC June 2018 284-287 Cellular networks An Algorithm of Efficient Proactive Placement of Autonomous Drones for Maximum Coverage in Cellular Networks.  ...  ., +, LWC April 2018 234-237 Atmospheric modeling An Algorithm of Efficient Proactive Placement of Autonomous Drones for Maximum Coverage in Cellular Networks.  ... 
doi:10.1109/lwc.2018.2888676 fatcat:olfvetmkt5bt3c572e5y76b5pm

Analytical synthesis technique for linear uniform-amplitude sparse arrays

D. Caratelli, M. C. Viganó
2011 Radio Science  
In particular, the developed antenna placement method does not require any iterative or stochastic optimization procedure, resulting in a dramatic reduction of the antenna design times (typically on the  ...  Viganó (2011), Analytical synthesis technique for linear uniform-amplitude sparse arrays, Radio Sci., 46, RS4001,  ...  This research is conducted as part of the Sensor Technology Applied in Reconfigurable systems for sustainable Security (STARS) project. For further information see  ... 
doi:10.1029/2010rs004522 fatcat:wkljmp2o3fd7pigs4goq6yk4ke

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications [article]

Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili, Dinh Thai Hoang, Diep N. Nguyen, Pubudu N. Pathirana, Won-Joo Hwang
2020 arXiv   pre-print
In such a network, a very large number of devices and applications are emerged, along with heterogeneity of technologies, architectures, mobile data, etc., and optimizing such a network is of utmost importance  ...  Besides convex optimization and game theory, swarm intelligence (SI) has recently appeared as a promising optimization tool for wireless networks.  ...  For example, an ACO algorithm is proposed to optimize the mobility trajectory for a mobile sink in home automation networks [25] , the PSO method is employed to optimize antenna placement in distributed  ... 
arXiv:2007.15221v1 fatcat:ysap6mdfcvdbtcwojnmvvbrjdu

Solving optimization problems in the fifth generation of cellular networks by using meta-heuristics approaches

Dalila Boughaci
2021 Procedia Computer Science  
Meta-heuristics are a set of intelligent algorithms and techniques that have been used to solve various complex problems in several domains in particular in cellular networks and telecommunications.  ...  Abstract Meta-heuristics are a set of intelligent algorithms and techniques that have been used to solve various complex problems in several domains in particular in cellular networks and telecommunications  ...  Among the evolutionary approaches proposed for optimization problems, we mention the well-known genetic algorithms [12, 15] , scatter search [11] and memetic algorithms [22, 23] .  ... 
doi:10.1016/j.procs.2021.02.008 fatcat:ax3vefapinhwrfz7qtaksfnrlm
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