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Hybrid Metamodeling/Metaheuristic Assisted Multi-Transmitters Placement Planning

Computers, Materials & Continua 2021年第7期68卷 569-587页

作者： amir parnianifard MuhammadSaadi Manus Pengnoo Muhammad Ali Imran Sattam Al Otaibi Pruk Sasithong Pisit Vanichchanunt Tuchsanai Polysuwan Lunchakorn Wuttisittikulkij Wireless Communication Ecosystem Research Unit Chulalongkorn UniversityBangkok10330Thailand Department of Electrical Engineering University of Central PunjabLahorePakistan School of Engineering University of GlasgowGlasgowG128QQUK Head-of-Innovation-and-Entrepreneurship-Center College of EngineeringTaif UniversityTaifKSA Department of Electrical and Computer Engineering King Mongkut University of Technology North BangkokBangkokThailand Department of Electrical Engineering Siam UniversityBangkokThailand

With every passing day,the demand for data traffic is increasing,and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the existing spectrum *** sizes are shrinking with every upcoming communication generation,which makes base station placement planning even more complex and *** order to make the next-generation cost-effective,it is important to design a network in such a way that it utilizes the minimum number of base stations while ensuring seamless coverage and quality of *** paper aims at the development of a new simulation-based optimization approach using a hybrid metaheuristic and metamodel applied in a novel mathematical formulation of the multi-transmitter placement planning(MTPP)*** first develop a new mathematical programming model for MTPP that is flexible to design the locations for any number of *** solve this constrained optimization problem,we propose a hybrid approach using the radial basis function(RBF)metamodel to assist the particle swarm optimizer(PSO)by mitigating the associated computational burden of the optimization *** evaluate the effectiveness and applicability of the proposed algorithm by simulating the MTPP model with two,three,four and five transmitters and estimating the Pareto front for optimal locations of *** quantitative results show that almost maximum signal coverage can be obtained with four transmitters;thus,it is not a wise idea to use higher number of transmitters in the ***,the limitations and future works are discussed.

关键词： Simulation-optimization radial basis function particle swarm optimization multi-transmitter placement

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