André F. Godinho, Daniel F. S. Fernandes, Diogo J. A. Clemente, G. Soares, P. Sebastião, Paulo M. Pina, L. Ferreira
{"title":"Cloud-based Cellular Network Planning System: Proof-of-Concept Implementation for GSM in AWS","authors":"André F. Godinho, Daniel F. S. Fernandes, Diogo J. A. Clemente, G. Soares, P. Sebastião, Paulo M. Pina, L. Ferreira","doi":"10.1109/WPMC48795.2019.9096082","DOIUrl":null,"url":null,"abstract":"Frequency planning for radio network has always been a time consuming, low reward task. Although, it is a must for a quality network. This paper presents a new pattern to plan radio frequency in global system for mobile communications, using cloud-services to automatically configure, optimize and heal a network, with the advantage of this services making both the implementation and its execution faster, without the need to acquire specific hardware. Our implementation analyses the current state of the network and uses interference as a metric to plan and heal networks. We compare our pattern to a realistic scenario and an already implemented pattern.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPMC48795.2019.9096082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Frequency planning for radio network has always been a time consuming, low reward task. Although, it is a must for a quality network. This paper presents a new pattern to plan radio frequency in global system for mobile communications, using cloud-services to automatically configure, optimize and heal a network, with the advantage of this services making both the implementation and its execution faster, without the need to acquire specific hardware. Our implementation analyses the current state of the network and uses interference as a metric to plan and heal networks. We compare our pattern to a realistic scenario and an already implemented pattern.