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Relative signal strength coverage optimization in indoor and outdoor wireless LAN environments
Keywords:
Recieved signal power, Multipath fading, Pathloss, Link quality, Network coverageAbstract
Fading and obstacles constitute major threats to effective quality of service (QoS) delivery in wireless local area network (WLAN) environments. In this contribution, we investigate the signal quality of indoor and outdoor WLANs over a defined coverage area. We present experimental analysis of case studies that will be useful for further research and validate the system’s performance in practice. Using an optimized form of the pathloss models, a simulation of the system is carried out over short and extended coverage. Simulation results show that signal quality could be effectively managed to improve the system’s performance for both indoor and outdoor environments in the presence of fading and other environmental factors.
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References
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[14] M. Panjwani., A.L. Abbott and T.S. Rappaport, “Interactive Computation of Coverage Regions for Wireless Communication in Multifloored Indoor Environments”, IEEE Journal on Selected Areas in Communications, Vol. 14, 1996, pp. 420-430.
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[18] V. Gupta, S.C. Sharma and M.C. Bansal, “Fringe Area Path Loss Correction Factor For Wireless Communication”, International Journal on Recent Trends in Engineering, Vol. 1, No. 2, pp. 30-32.
[2] D. Hucaby, CCNP BCMSN Official Exam Certification Guide. Fourth Edition, CISCO Press, 2007.
[3] G. Durgin, T. Rappaport and H. Xu, “Measurements and Models for Radio Pathloss and Penetration Loss in and Around Homes and Trees at 5.85 GHZ”, IEEE Transactions on Communications, Vol. 46, No. 11, 1998, pp. 1484-1496.
[4] R. Beuran, L.T. Nguyen, K. T. Latt, J. Nakata, andY. Shinoda, QOMET: A Versatile WLAN Emulator, In Proceedings of The 21st IEEE International Conference on Advanced Information Networking and Applications (AINA 2007), Niagara Falls, Ontario, Canada, pp. 348-353, 2007.
[5] W. Zhang, Modeling of WLAN Beacon Signal Strength Measured in an Indoor Environment. In Proceedings of the International Conference on Wireless Networks, ICWN’03, Las Vegas, Navada, USA, pp. 70-75, 2003.
[6] J.N. Davies, V. Grout and R. Picking, Prediction of Wireless Network Signal Strength Within a Building. In Proceedings of the 7 th International Network Conference, University of Plymouth, pp. 193-207, 2008.
[7] D.B. Faria, D. B., Modeling Signal Attenuation in IEEE 802.11 Wireless LANs – Vol. 1. Technical Report TR-KP06-0118, Kiwi Project, Stanford University, 2005.
[8] P. O. Bobbie, and A.L. Yussif, Modeling and Simulation of IEEE 802.11 Wireless-LAN and Bluetooth Piconet Range Interference. In Proceedings of IASTED CIII Conferences, St. Thomas, Virgin Islands, pp. 44-49, 2004.
[9] K. Sayrafian-Pour and D. Kaspar, A Novel Model-based Indoor Positioning Using Signal Strength. In Proceedings of 18 th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’07), Athens, pp. 1-5, 2007.
[10] P. Petrus, J.H. Reed, and J.S. Rapport, Geometrically Based Statistical Channel Model for Macrocellular Mobile Environments. In Proceedings of IEEE Global Telecommunication Conference, pp. 1197-1291, 1996.
[11] S.Y. Elchakwi, Propagation Prediction and Measurement on Outdoor Wireless LAN 2.4GHz Applications at Universiti Teknologi, Malaysia, M.Sc. Thesis. Universiti Teknologi, Malaysia, 2006.
[12] L.C. Liechty, Path Loss Measurements and Model Analysis of a 2.4 GHz Wireless Network in an Outdoor Environment. M.Sc. Thesis, Georgia Institute of Technology, 2007.
[13] K. Pahlavan and K. Prashant, Principles of Wireless Networks: A Unified Approach. Prentice Hall, New Jersey, USA, 2002.
[14] M. Panjwani., A.L. Abbott and T.S. Rappaport, “Interactive Computation of Coverage Regions for Wireless Communication in Multifloored Indoor Environments”, IEEE Journal on Selected Areas in Communications, Vol. 14, 1996, pp. 420-430.
[15] R. Morrow, Wireless Network Coexistence. McGraw Hill, USA, 2004.
[16] J. B. Anderson, T.S. Rappaport and S. Toshida, Propagation Measurements and Models for Wireless Communication Channels. IEEE Communications Magazine, pp. 42-49, 1995.
[17] M. Hassan-Ali and K. Pahlavan, “A New Statistical Model for Site-specific Indoor Radio Propagation Prediction Based on Geometric Optics and Geometric Probability”, IEEE Transactions on Wireless Communication, Vol. 1, No. 1, 2002, pp. 112–124.
[18] V. Gupta, S.C. Sharma and M.C. Bansal, “Fringe Area Path Loss Correction Factor For Wireless Communication”, International Journal on Recent Trends in Engineering, Vol. 1, No. 2, pp. 30-32.
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Published
2013-04-01
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[1]
“Relative signal strength coverage optimization in indoor and outdoor wireless LAN environments”, JCS&T, vol. 13, no. 01, pp. p. 9–15, Apr. 2013, Accessed: Jan. 14, 2026. [Online]. Available: https://journal.info.unlp.edu.ar/JCST/article/view/636
