Hybrid Metamodeling/Metaheuristic Assisted Multi-Transmitters Placement Planning  

作　　者：Amir Parnianifard MuhammadSaadi Manus Pengnoo Muhammad Ali Imran Sattam Al Otaibi Pruk Sasithong Pisit Vanichchanunt Tuchsanai Polysuwan Lunchakorn Wuttisittikulkij 

机构地区：[1]Wireless Communication Ecosystem Research Unit,Chulalongkorn University,Bangkok,10330,Thailand [2]Department of Electrical Engineering,University of Central Punjab,Lahore,Pakistan [3]School of Engineering,University of Glasgow,Glasgow,G128QQ,UK [4]Head-of-Innovation-and-Entrepreneurship-Center,College of Engineering,Taif University,Taif,KSA [5]Department of Electrical and Computer Engineering,King Mongkut University of Technology North Bangkok,Bangkok,Thailand [6]Department of Electrical Engineering,Siam University,Bangkok,Thailand

出　　处：《Computers, Materials & Continua》2021年第7期569-587,共19页计算机、材料和连续体（英文）

基　　金：funded by TSRI Fund(CU_FRB640001_01_21_6).Amir Parnianifard would like to acknowledge the financial support by Second Century Fund(C2F),Chulalongkorn University,Bangkok;Supporting Project number(TURSP-2020/228),Taif University,Taif,Saudi Arabia for the financial support.

摘　　要：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 efficiently.Cell sizes are shrinking with every upcoming communication generation,which makes base station placement planning even more complex and cumbersome.In 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 service.This 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)problem.We first develop a new mathematical programming model for MTPP that is flexible to design the locations for any number of transmitters.To 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 procedure.We 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 transmitters.The 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 model.Furthermore,the limitations and future works are discussed.

关 键 词：Simulation-optimization radial basis function particle swarm optimization multi-transmitter placement 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]