The purpose of this paper is to discuss the applicability of the TGn radio channel models in estimating the performance of WLAN transmission. The specificity of the indoor radiowave propagation is first discussed, then TGn models are introduced together with a deterministic propagation model created by the authors for predicting the radio channel higher-order parameters. Intensive WLAN measurements have been carried out in two representative propagation environments and compared to theoretical predictions obtained in four configurations: beginning with the original TGN channel models, then enhancing them by including deterministically simulated pathloss and impulse responses and eventually by generating the channel impulse response on a purely random basis. The obtained results should indicate how accurately the general TGn channel models match measurements in real environments and how they compare to proposed successive modifications.
"Measurement Evaluation of the Tgn Radio Channel Models Usefulness in Predicting WLAN Performance," Progress In Electromagnetics Research,
Vol. 137, 311-333, 2013. doi:10.2528/PIER13011006
1. Chu, J.-H., K.-T. Feng, and C.-C. Liao, "Analysis and determination of cooperative MAC strategies from throughput perspectives," Wireless Networks, Dec. 2012, DOI 10.1007/s11276-012-0529-x.
2. Yu, X., L. Wang, H.-G. Wang, X. Wu, and Y.-H. Shang, "A novel multiport matching method for maximum capacity of an indoor MIMO system," Progress In Electromagnetics Research, Vol. 130, 67-84, 2012.
3. Pauliukas, D. and V. Vosylius, "Research of real time traffic transmission in 802.11 WLANs," Elektronika ir Elektrotechnika, Vol. 7, No. 95, 111-114, 2009.
4. Kajackas, A. and L. Pavilanskas, "Analysis of the technological expenditures of common WLAN models," Elektronika ir Elektrotechnika, Vol. 8, No. 72, 19-24, 2006.
5. Wei, K., Z. Zhang, and Z. Feng, "Design of a dualband omnidirectional planar microstrip antenna array," Progress In Electromagnetics Research, Vol. 126, 101-120, 2012. doi:10.2528/PIER11112101
6. Deruyck, M., W. Vereecken, W. Joseph, B. Lannoo, M. Pickavet, and L. Martens, "Reducing the power consumption in wireless access networks: Overview and recommendations," Progress In Electromagnetics Research, Vol. 132, 255-274, 2012.
7. Alsehaili, M., "Angle and time of arrival statistics of a three dimensional geometrical scattering channel model for indoor and outdoor propagation environments," Progress In Electromagnetics Research, Vol. 109, 191-209, 2010. doi:10.2528/PIER10081106
8. Phaebua, K., C. Phongcharoenpanich, M. Krairiksh, and T. Lertwiriyaprapa, "Path-loss prediction of radio wave propagation in an orchard by using modified UTD method," Progress In Electromagnetics Research, Vol. 128, 347-363, 2012.
9. Ndzi, D. L., M. A. M. Arif, A. Y. M. Shakaff, M. N. Ahmad, A. Harun, L. M. Kamarudin, A. Zakaria, M. F. Ramli, and M. S. Razalli, "Signal propagation analysis for low data rate wireless sensor network applications in sport grounds and on roads," Progress In Electromagnetics Research, Vol. 125, 1-19, 2012. doi:10.2528/PIER11111406
10. Yu, X., L. Wang, H.-G. Wang, X. Wu, and Y.-H. Shang, "A novel multiport matching method for maximum capacity of an indoor MIMO system," Progress In Electromagnetics Research, Vol. 130, 67-84, 2012.
11. Chen, Z. and Y.-P. Zhang, "Effects of antennas and propagation channels on synchronization performance of a pulse-based ultra-wideband radio system," Progress In Electromagnetics Research, Vol. 115, 95-112, 2011.
12. Ndzi, D. L., K. Stuart, S. Toautachone, B. Vuksanovic, and D. Sanders, "Wideband sounder for dynamic and static wireless channel characterisation: Urban picocell channel model," Progress In Electromagnetics Research, Vol. 113, 285-312, 2011.
13. ITU, ITU-R P.1145, "Propagation data for the terrestrial land mobile service in the VHF and UHF bands,", 1995.
14. ITU, ITU-R P.1407, "Multipath propagation and parameterization of its characteristics,", 2009.
15. Rappaport, T. S., Wireless Communications. Principles and Practice, 2nd Edition, Prentice Hall, 2002.
16. Hashemi, H., "The indoor radio propagation channel," IEEE Proceedings, Vol. 81, No. 7, 943-968, Jul. 1993. doi:10.1109/5.231342
17. Staniec, K., "The indoor radiowave propagation modeling in ISM bands for broadband wireless systems,", Ph.D. Dissertation, Wroclaw University of Technology, Wroclaw, Poland, 2006.
18. Pomianek, A. J., K. Staniec, and Z. Joskiewicz, "Practical remarks on measurement and simulation methods to emulate the wireless channel in the reverberation chamber," Progress In Electromagnetics Research, Vol. 105, 49-69, 2010. doi:10.2528/PIER10022605
19. Staniec, K. and A. J. Pomianek, "On simulating the radio signal propagation in the reverberation chamber with the ray launching method," Progress In Electromagnetics Research B, Vol. 27, 83-99, 2011.
20. Reza, A. W., M. S. Sarker, and K. Dimyati, "A novel integrated mathematical approach of ray-tracing and genetic algorithm for optimizing indoor wireless coverage," Progress In Electromagnetics Research, Vol. 110, 147-162, 2010. doi:10.2528/PIER10091701
21. Liu, Z.-Y. and L.-X. Guo, "A quasi three-dimensional ray tracing method based on the virtual source tree in urban microcellular environments," Progress In Electromagnetics Research, Vol. 118, 397-414, 2011. doi:10.2528/PIER11041602
22. Sarker, M. S., A. W. Reza, and K. Dimyati, "A novel ray-tracing technique for indoor radio signal prediction," Journal of Electromagnetic Waves and Applications, Vol. 25, No. 8-9, 1179-1190, 2011. doi:10.1163/156939311795762222
23. Kowal, M., "The performance of the MIMO-OFDM radio interface in presence of interferences,", Ph.D. dissertation, Wroclaw University of Technology, Wroclaw, Poland, 2011.
24. Kowal, M., S. Kubal, P. Piotrowski, and R. Zielinki, "A simulation model of the radio frequency MIMO-OFDM system," International Journal of Electronics and Telecommunications, Vol. 57, No. 3, 323-328, 2011. doi:10.2478/v10177-011-0043-6
25. Erceg, V., L. Schumacher, and P. Kyritsi, "TGn channel models,", IEEE 802.11-03/940r4, May 10, 2004.
26. Kara, A., "Human body shadowing variability in short range indoor radio links at 3-11 GHz," Int. Journal of Electronics, Vol. 96, 205-211, 2009. doi:10.1080/00207210802524302
27. Cotton, S. L., et al., "An experimental study on the impact of human body shadowing in off-body communications channels at 2.45 GHz," Proc. 5th European Conference on Antennas and Propagation (EUCAP), 3133-3137, 2011.
28. Cheffena, M., "Physical-statistical channel model for signal effect by moving human bodies," EURASIP Journal on Wireless Communications and Networking, Vol. 2012, 77, 2012. doi:10.1186/1687-1499-2012-77
29. Kara, A. and E. Yazgan, "Modelling of shadowing loss for huge non-polygonal structures in urban radio propagation," Progress In Electromagnetic Research B, Vol. 6, 123-134, 2008. doi:10.2528/PIERB08031209
30. Li, Q., M. Ho, V. Erceg, A. Janganntham, and N. Tal, "802.11n channel model validation,", IEEE 802.11-03/894r1, Nov. 2003.
31. Saleh, A. A. M. and R. A. Valenzuela, "A statistical model for indoor multipath propagation," IEEE Journal of Selected Areas in Communications, Vol. 5, 128-137, 1987. doi:10.1109/JSAC.1987.1146527
32. Medbo, J. and P. Schramm, "Channel models for HIPERLAN/2,", ETSI/BRAN Document No. 3ERI085B, 1998.
33. ITU, ITU-R F.1191-3, "Necessary and occupied bandwidths and unwanted emissions of digital fixed service systems,", May 2011.