Abstract
Long Term Evolution (LTE) networks are designed with overlap between cells to support mobility along the network cells and to avoid out of coverage area; especially in suburban and rural area because high mobility. The overlapping results in interferences which reduce network capacity so this paper aims to bring customer demands for high-quality networks. This paper involves a good understanding of radio network planning and optimization of LTE and perform a case study in Taiz governorate with a selected suburban and rural area of 86.846 km2. Self-organizing networks (SONs) are widely considered to improve the end users’ quality of experience. The simulation was performed using ATOLL software. The radio frequency (RF) optimization involves Inter-Cell Interference Coordination (ICIC). The downlink (DL) LTE coverage area is enhanced and increased to 84 km2 with probability of 97%. In addition, the overlapping zone is reduced to 0.4% and the block error rate (BLER ≥ 0.2) is reduced to 2.1% in the DL and (BLER ≥ 0.2) to 0.6% in the uplink (UL).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sesia, S., Toufik, I., Baker, M.: LTE-the UMTS Long Term Evolution. Wiley, New York (2015)
Liu, H., Jiao, Y., Gao, Y., Sang, L., Yang, D.: Performance evaluation of flexible duplex implement based on radio frame selection in LTE heterogeneous network. In: ICT IEEE, pp. 308–312 (2015)
Shaddad, R., Mohammad, A., Al-Gailani, S., Al-hetar, A., Elmagzoub, M.: A survey on access technologies for broadband optical and wireless networks. J. Netw. Comput. Appl. 41, 459–472 (2014)
Takpor, T., Idachaba, F.: Analysis and simulation of LTE downlink and uplink transceiver. In: Proceedings of the World Congress on Engineering 2014 (2014)
Shaddad, R., Abdulwadood, M., Kuradah, N., Alsharaie, S., Qaid, M., Alramesi, A., Rassam, A.: Planning and optimization of LTE radio access network for urban area at Taiz City, Yemen. In: IRICT 2017, Johor, Malaysia (2017)
Yassin, M., Aboulhassan, M., Lahoud, S., Ibrahim, M., Mezher, D.: Survey of ICIC techniques in LTE networks under various mobile environment parameters. Wirel. Netw. 23(2), 403–418 (2017)
Saxena, A., Sindal, R.: An optimized LTE han over model on quality and margin with key performance indicator. Wirel. Pers. Commun. 98(2), 2389–2401 (2018)
Buenestado, V., Toril, M., Luna-Ramirez, S., Ruiz-Aviles, J.M., Mendo, A.: Self-tuning of remote electrical tilts based on call traces for coverage and capacity optimization in LTE. IEEE Trans. Veh. Technol. 66(5), 4315–4326 (2016)
Ghazzai, H., Yaacoub, E., Alouini, M., Dawy, Z., Abu-Dayya, A.: Optimized LTE cell planning with varying spatial and temporal user densities. IEEE Trans. Veh. Technol. 65, 1575–1589 (2016)
E-UTRA 3GPP TS 36.331 E-UTRA Radio Resource Control (RRC) protocol specification. http://www.3gpp.org/dynareport/36331.htm. Accessed 06 June 2016
Ericsson. Long Term Evolution (LTE), an introduction, October 2014
Taiz Information Center (2015). http://www.taizgov.com/new/
HUAWEI TECHNOLOGIES, Long Term Evolution (LTE) Radio Access Network Planning Guide CO., LTD
Abdul, B.S., Dimensioning of LTE network, description of models and tool, coverage and capacity estimation of 3GPP long term evolution radio interface (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Shaddad, R.Q., Saleh, N.Y., Mohammed, A.A., Saeed, Z.A., Shaif, A.A., Al-Gaialni, S.A. (2019). Planning and Optimization of LTE Radio Access Network for Suburban and Rural Area at Taiz City, Yemen. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-99007-1_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99006-4
Online ISBN: 978-3-319-99007-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)