Radio Network Planning and Optimization for 5G Telecommunication System Based on Physical Constraints

Hla Myo Tun (Department of Electronic Engineering, Yangon Technological university, Gyogone, Insein PO, 11011, Yangon, Republic of the Union of Myanmar)

Abstract


The paper mainly focuses on the network planning and optimization problem in the 5G telecommunication system based on the numerical investigation. There have been two portions of this work, such as network planning for efficient network models and optimization of power allocation in the 5G network. The radio network planning process has been completed based on a specific area. The data rate requirement can be solved by allowing the densification of the system by deploying small cells. The radio network planning scheme is the indispensable platform in arranging a wireless network that encounters convinced coverage method, capacity, and Quality of Service necessities.  In this study, the eighty micro base stations and two-hundred mobile stations are deployed in the -15km×15km wide selected area in the Yangon downtown area. The optimization processes were also analyzed based on the source and destination nodes in the 5G network. The base stations' location is minimized and optimized in a selected geographical area with the linear programming technique and analyzed in this study.


Keywords


Network Planning Design, Mathematical Optimization, 5G Telecommunication System, Numerical Analysis, Power Allocation Problem

Full Text:

PDF

References


E. Hossain, M. Rasti, H. Tabassum, and A. Abdelnasser. (2014, June). Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective. IEEE Wireless Commun. [Online] 21( 3), pp. 118–127.

C.-X. Wang et al. (2014, February). Cellular architecture and key technologies for 5G wireless communication networks. IEEE Commun. Mag. [Online] 52( 2), pp. 122–130.

T. Carpenter, M. Eiger, D, Shallcross, P. Seymour (2001 September). Node Placement and Sizing for Copper Broadband Access Networks. Annals of Operations Research, [Online] 106(1-4), pp.199-228.

L.F.I brahim (2006). Using Clustering and Ant-Colony Algorithms CWSP-PAM-ANT in Network Planning. International Conference on Digital Telecommunications. ICDT06, [Online] pp.63-67.

K. F. Poon, A. Conway, G. Wardrop, J. Mellis (2000 October). Successful Application of Genetic Algorithms to Network Design and Planning. B.T. Technology Journal. [Online] 18(4). pp.32-41.

E. Amaldi, A Capone, M. Cesana, F. Malucelli (2007). Optimization Models for the Radio Planning of Wireless Mesh Networks. LNCS 4479. [Online] pp.287-298.

J. Zhang, J. Yang, M. E. Aydin, J. Y. Wu (2006 June). Mathematical Modelling and Comparisons of Four Heuristic Optimization algorithms for WCDMA Radio Network Planning. International Conference on Transparent Optical Networks. Vol.3. [Online] pp.253-257.

J. Liu, K. P. Worrall. (2002 May). Theory and practice in 3G network planning. Third International Conference on (Conf. Publ. No.489) 3G Mobile Communication Technologies 2002. [Online] pp.74-80.

A. M. Kurien, B. J. Van Wyk, L. W. Snyman. (2004 November). An environment-based network planning tool. 12th International Symposium on Electron Devices for Microwave and Optoelectronic Applications. EDMO 2004. [Online] pp.96-101.

Sujan Shrestha, Dong-You Choi. (2017 January). Rain attenuation statistics over millimeter-wave bands in South Korea. Journal of Atmospheric and Solar-Terrestrial Physics. Volume 152-153. pp 1-10.

Sebin Sabu, Abhiram D. Effect of rainfall on cellular signal strength: A study on the variation of RSSI at the user end of the smartphone during rainfall. 2017 IEEE Region 10 Symposium (TENSYMP), Technologies for Smart Cities, Kochi, July 14-16, 2017.

Sunil Joshi, Sandeep Sancheti. Foliage Loss Measurements of Tropical Trees at 35GHz, International Conference on Microwave-08, 2008.



DOI: https://doi.org/10.30564/jcsr.v3i1.2701

Refbacks

  • There are currently no refbacks.
Copyright © 2021 Hla Myo Tun Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.