Abstract
Measurement and optimization of the quality, coverage and capacity of a wireless network system is one of the mandate conditions for today’s mobile technology. For that, numerous radio frequency (RF) drive test tools are used for wireless technologies like global system for mobile communication (GSM), code division multiple access (CDMA), global package radio services (GPRS), third generation (3G), evolution data optimized (EVDO), etc. In this work, two such tools like telecom expense management software (TEMS) and X-CAL are used to collect reasonable data accurately in real time for two different mobile networks like GSM and long-term evolution (LTE). Basically, the drive testing technique is nothing but an automobile that carries a wireless network system making set up for drive test and at the same time RF engineers keep records of various parameters (physical and virtual) of mobile cellular service for report making for a particular geographical area. The drive testing technique is categorized into three broad headings as: network benchmarking, optimization and troubleshooting and finally service quality monitoring. The objective of these types of drive tests is to collect datasets like signal level, signal quality, dropped calls, blocked calls, call statistics, Global Position System (GPS) location co-ordinates, etc. In this process, drive testing files are used to diagnose the root sources of dropped calls or omitted neighbour cell assignments due to specific disputes, typically confined disputes or network disputes. Objective of drive test and electromagnetic field wave (EMF) survey is to optimize RF in the mobile wireless network. In this process, one network can optimize its throughput power by using less spectrum by proper regulation work of RF engineer.
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References
Zander J (2001) Radio resource management for wireless networks. Artech House Inc.
Kyriazakos S, Karetsos G, Gkroustiotis E, Kechagias C, Fournogerakis P (2001) Congestion study and resource management in cellular networks of present and future generation. In: IST mobile summit 2001. Barcelona, Spain, 9–12 September 2001
Kechagias, Papaoulakis S, Nikitopoulos N, Karambalis D (2002) A comprehensive study on performance evaluation of operational GSM and GPRS systems under varying traffic conditions. In: IST mobile and wireless telecommunications summit. Greece
Rappaport TS (2003) Wireless communications, principles and practice, 2nd edn. Pearson Publications
Ekström H, Furuskär A, Karlsson J, Meyer M, Parkvall S, Torsner J, Wahlqvist M (2006) Technical solutions for the 3G long-term evolution. IEEE Commun Mag 44(3):38–45
Parkvall ED, Furuskär A, Ericsson RS (2008) ITU global standard for IMT-advanced; LTE advanced—evolving LTE. In: Vehicular technology conference, 2008. VTC 2008-Fall, 21–24 Sept 2008. IEEE, pp 1–5
Haider B, Zafrullah M, Islam MK (2009) Radio frequency optimization & QoS evaluation in operational GSM. In: Proceedings of the world congress on engineering and computer science 2009, vol I WCECS 2009, October 20–22, 2009. San Francisco, USA
Ronai A (2009) LTE ready mobile backhaul. Cargon Networks Report
Gunawan A (2010) LTE technology, challenge, and business. Technical Seminar, Sharjah, 18 Jan 2010
Chitranshi R, Kushwaha J, Pancholy P (2012) Intelligent optimization of GSM network. Int J Eng Sci Innov Technol (IJESIT) 1(2)
Durga Prasad YVS (2017) RF optimization in GSM. IJASTEMS 3(6)
Seytnazarov SO (2010) RF optimization issues in GSM networks. In: 2010 4th International conference on application of information and communication technologies, pp 1–5. https://doi.org/10.1109/ICAICT.2010.5611802
Balis P, Tanhatalab MR (2019) LTE practical optimization achievements on throughput in live cellular networks. In: 2019 1st International conference on cybernetics and intelligent system (ICORIS), pp 51–56. https://doi.org/10.1109/ICORIS.2019.8874877
Angadi AV, Yashaswini SD, Balaji K, Padma U (2019) RF planning and optimization practices applied to improve the KPI’s of 4G LTE network. In: 2019 3rd International conference on electronics, communication and aerospace technology (ICECA), pp 848–851. https://doi.org/10.1109/ICECA.2019.8821937
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Barik, D.K., Mali, S., Ali, F.A., Agarwal, A. (2022). Design and Analysis of RF Optimization in 2G GSM and 4G LTE Network. In: Mishra, M., Sharma, R., Kumar Rathore, A., Nayak, J., Naik, B. (eds) Innovation in Electrical Power Engineering, Communication, and Computing Technology. Lecture Notes in Electrical Engineering, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-16-7076-3_2
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DOI: https://doi.org/10.1007/978-981-16-7076-3_2
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