Research ArticleOpen AccessGoogle Scholar indexed
Link Budget Design for RF Line-of-Sight via Theoretical Propagation Prediction
Electrical Engineering Department, College of Engineering, Qassim University, Buraydah, Saudi Arabia
Electrical Engineering Department, Unaizah College of Engineering, Qassim University, Buraydah, Saudi Arabia
Electrical Engineering Department, College of Engineering, Qassim University, Buraydah, Saudi Arabia
Electrical Engineering Department, College of Engineering, Qassim University, Buraydah, Saudi Arabia
Electrical Engineering Department, Unaizah College of Engineering, Unayzah, Saudi Arabia
- 1 Electrical Engineering Department, College of Engineering, Qassim University, Buraydah, Saudi Arabia
- 2 Electrical Engineering Department, Unaizah College of Engineering, Qassim University, Buraydah, Saudi Arabia
- 3 Electrical Engineering Department, College of Engineering, Qassim University, Buraydah, Saudi Arabia
- 4 Electrical Engineering Department, College of Engineering, Qassim University, Buraydah, Saudi Arabia
- 5 Electrical Engineering Department, Unaizah College of Engineering, Unayzah, Saudi Arabia
International Journal of Communications, Network and System Sciences·Volume 12 (2019)·Pages 11–17·Published 25 January 2019·DOI10.4236/ijcns.2019.121002
Copy link · social · email
Abstract
Line-of-sight (LOS) link planning condition has been observed to have effects on the atmospheric factor which cause crucial signal loss. The main objective of the planning was to improve a set of a link using point to point condition to assist the performance in emerging its strategy for handling the fixed WLAN service. The purpose of this paper is to provide a quick description of various propagation loss mechanisms on Link Budget Tool (LBT). LBT is customized to create point to point link for local area network (LAN) through radio frequency range operating between 2.400 GHz and 5.800 GHz. This software is able to define the effect of signal loss and expected performances according to the distances between link propagation conditions based on a number of system parameters.
KeywordsPath Loss (PL)Line of Sight (LOS)Microwave Link Budget (MLB)Link Planning (LP)
- Jabbar, S., Habib, M.A., Minhas, A.A., Ahmad, M., Ashraf, R., Khalid, S. and Han, K. (2018) Analysis of Factors Affecting Energy Aware Routing in Wireless Sensor Network. Wireless Communications and Mobile Computing, 2018, Article ID: 9087269.
- Toffel, M.W. (2004) Environmental Implications of Wireless Technologies: News Delivery and Business Meetings. Environmental Science & Technology, 38, 2961-2970. https://doi.org/10.1021/es035035o
- Saeed, N., Celik, A. and Al-Naffouri, T.Y. (2018) Underwater Optical Wireless Communications, Networking, and Localization: A Survey. arXiv:1803.02442v1
- Javier Ferrer Coll. (2014) Channel Characterization and Wireless Communication Performance in Industrial Environments. Ph.D. Thesis, KTH University, Stockholm.
- Sandeep, D.N. and Kumar, V. (2017) Review on Clustering, Coverage, and Connectivity in Underwater Wireless Sensor Networks: A Communication Techniques Perspective. IEEE Access, 5, 11176-11199. https://doi.org/10.1109/ACCESS.2017.2713640
- Hoomod, H.K., Al-Mejibli, I. and Jabboory, A.I. (2018) Analyzing Study of Path Loss Propagation Models in Wireless Communications at 0.8 GHz. Journal of Physic, 1003, 1-7.
- Nadir, Z., Bait-Suwailam, M. and Idrees, M. (2016) Pathloss Measurements and Prediction Using Statistical Models. 2016 7th International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2016), MATEC Web of Conferences, Vol. 54, Cape Town, 1-3 February 2016, 1-4.
- Atayero, A.A., Luka, M.K. and Alatishe, A.A. (2011) Satellite Link Design: A Tutorial. International Journal of Electrical & Computer Sciences IJECS-IJENS, 11, 1-7.
- Mekid, S., Wu, D., Hussain, R. and Youcef-Toumi, K. (2017) Channel Modeling and Testing of Wireless Transmission for the Underground In-Pipe Leak and Material Loss Detection. International Journal of Distributed Sensor Networks, 13, 1-16. https://doi.org/10.1177/1550147717744715
- Aegis Systems Limited (2011) Frequency Band Review for Fixed Wireless Service. Final Report. https://www.ofcom.org.uk/__data/assets/pdf_file/0022/51286/exe-summary.pdf
- Curran, S.J. (2018) Modeling the Use of an Airborne Platform for Cellular Communications Following Disruptions. Ph.D. Dissertation, Embry-Riddle Aeronautical University, Daytona Beach.
- Iskander, M. and Yun, Z. (2002) Propagation Prediction Models for Wireless Communication Systems. IEEE T Microwave Theory, 50, 662-673.