Abstract

Upgrading from Second Generation (2G) to Third Generation (3G) mobile networks is an important concept for every practicing telecommunications engineer and technical decision maker involved in 3G planning. Coverage and capacity are important issues in the planning process for cellular 3G mobile networks. The planning process aims to allow the maximum number of users sending and receiving adequate signal strength in a cell. In this paper we show and apply the methodology and the planning steps for designing a 3G network on top of existing 2G mobile network. The roadmap of this paper works, is to define the geographical region under study and as our design target, then, forecasting the subscriber profile is considered and well defined to meet the design parameter for the traffic demand,taking into consideration both current profile and the forecasted future service demand, later, the paper show how to perform both capacity and coverage dimensioning process in order to achieve nominal cell palling.

References

• Edoardo Amaldi, Antonio Capone, and Federico Malucelli. Radio planning and coverage optimization of 3g cellular networks. Wireless Networks, 14(4):435–447, 2008.
• Prodip Chaudhury, Werner Mohr, and Seizo Onoe. The 3gpp proposal for imt-2000. Communications Magazine, IEEE, 37(12):72–81, 1999.
• Vijay Kumar Garg. Wireless Network Evolution: 2G to 3G. Prentice Hall PTR, Upper Saddle River, NJ, USA, 1st edition, 2001.
• D. Goodman and R.A. Myers. 3g cellular standards and patents. In Wireless Networks, Communications and Mobile Computing, 2005 International Conference on, volume 1, pages 415–420 vol.1, June 2005.
• Liang Guo, Jie Zhang, and Carsten Maple. Coverage and capacity calculations for 3g mobile network planning. proc. PGNET2003, June, pages 16–17, 2003.
• Harri Holma and Antti Toskala. HSDPA/HSUPA for UMTS: high speed radio access for mobile communications. JohnWiley & Sons, 2007.
• Patrick A Hosein. Qos control for wcdma high speed packet data. In Mobile andWireless Communications Network, 2002. 4th International Workshop on, pages 169–173. IEEE, 2002.
• TEMS Investigation. Tems investigation. www. ascom.com/nt/en/index-nt/tems-products-3/ tems-investigation-5.htm#overview, 2015. [Online; accessed 20-October-2015].
• Farooq Khan. LTE for 4G mobile broadband: air interface technologies and performance. Cambridge University Press, 2009.
• A. Medeisis and A. Kajackas. On the use of the universal okumura-hata propagation prediction model in rural areas. In Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st, volume 3, pages 1815– 1818 vol.3, 2000.
• A. Molisch. GSM Global System for Mobile Communications. Wiley-IEEE Press, 2011.
• Wataniya Mobile powered by Blue Technology and Development. Wataniya mobile, member of ooredoo group. www. wataniya.ps/en/, 2016. [Online; accessed 10-January- 2016].
• Charalabos Skianis. Introducing automated procedures in 3g network planning and optimization. Journal of Systems and Software, 86(6):1596–1602, 2013.
• Saed Tarapiah, Kahtan Aziz, and Shadi Atalla. Common radio resource management algorithms in heterogeneous wireless networks with kpi analysis. International Journal of Advanced Computer Science & Applications, 1(6):53–58, 2015.
• Saed Tarapiah, Kahtan Aziz, and Shadi Atalla. Radio resource management in heterogeneous networks, functional models and implementation requirements. International Journal of Computer Applications, 127(16):1–4, 2015.
• Saed Tarapiah, Kahtan Aziz, Shadi Atalla, and Yousef Tarabeih. Advanced radio resource management solutions for multi-access wireless and mobile technologies. International Journal of Enhanced Research in Science, Technology & Engineering (IJERSTE ), 4(9):165–169, 2015.
• Yufei Wu and Samuel Pierre. Optimization of 3g radio network planning using tabu search doi: 10.14209/jcis. 2007.4. Journal of Communication and Information Systems, 22(1), 2015.
• S. Yelen, S. Selim Seker, and F. C. Kunter. Radio propagation path loss prediction of umts for an urban area. In Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on, pages 1–1, May 2010.