Some Lessons Learned in GSM Network Optimization

Jia, Shanpo; Wang, Zhi'an; Guo, Ying; Kang, Kai

doi:10.1109/mvhi.2010.30

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationships between these KPIs are introduced and thresholds for some KPIs are suggested so that the GSM operators should not exceed them. Jia et al (2010) addressed the optimisation of GSM network, data sorting and analysing, implementing the optimisation and system fine tuning. Network dimensioning such as BSC, MSC and other related parameters are addressed and the top ten wireless parameters are listed which are the most important from the authors' point view.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and optimisation of GSM network in Jenien City, Palestine

Mkheimer¹,

Jamoos

2012

IJMNDI

View full text Add to dashboard Cite

This paper presents a case study about the evaluation and optimisation of GSM network in Jenien City, Palestine. Two approaches are used to evaluate the network performance, namely: key performance indicators (KPIs) and drive test. The initial evaluation of the network showed that about 0.76% of the initiated connections are dropped. In addition, about 7.76% of the collected samples from the drive test lie in level 4 which is the worst level in terms of signal quality and signal strength. Moreover, only 65.5% of the collected samples lie in level 1 which is the best level in terms of signal quality and strength. A new traffic channel (TCH) and broadcast control channel (BCCH) frequency plans are proposed to decrease TCH drop rate, reduce interference level and boost signal quality. The proposed plans are implemented into the network. Two kinds of optimisation procedures are adopted. The first one is manual optimisation while the second one is by using specific optimisation tools. According to the comparative study, we carried-out between the performance of the network before and after optimisation, the average TCH drop rate is reduced from 0.76% to 0.62%. In addition, the percentage of samples in level 1 is increased from 65.5% to 76.8% while the percentage of samples in level 4 is decreased from 7.76% to 5.16%. His research interests are in the field of signal processing for wireless communications with focus on mobile fading channel modelling and estimation, multicarrier techniques, cellular network planning and optimisation. He is a member of the IEEE Communications Society.

show abstract

Section: Introductionmentioning

confidence: 99%