N. Hassan, K. Elkhazeen, Kaarman Raahemiafar, Xavier N Fernando
{"title":"Optimization of control parameters using averaging of handover indicator and received power for minimizing ping-pong handover in LTE","authors":"N. Hassan, K. Elkhazeen, Kaarman Raahemiafar, Xavier N Fernando","doi":"10.1109/CCECE.2015.7129166","DOIUrl":null,"url":null,"abstract":"This paper introduces an enhanced automatic self-optimization technique that picks up the best handover (HO) limits of long-term evolution (LTE) transceivers. The goal is to minimize the possible degradation due to HO call drop, HO failure (HOF) and Ping-Pong HO to improve HO performance indicator (HPI)of the network. The proposed algorithm tunes the hysteresis and time-to-trigger based on exponential averaging of HPI and the average of the old values of the received signal reference power (RSRP). The results show a clear improvement over weighted HPI averaging without RSRP averaging.","PeriodicalId":218111,"journal":{"name":"2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2015.7129166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper introduces an enhanced automatic self-optimization technique that picks up the best handover (HO) limits of long-term evolution (LTE) transceivers. The goal is to minimize the possible degradation due to HO call drop, HO failure (HOF) and Ping-Pong HO to improve HO performance indicator (HPI)of the network. The proposed algorithm tunes the hysteresis and time-to-trigger based on exponential averaging of HPI and the average of the old values of the received signal reference power (RSRP). The results show a clear improvement over weighted HPI averaging without RSRP averaging.