Fixed to Mobile 5G Millimeter Wave Channel Model | ||||
Menoufia Journal of Electronic Engineering Research | ||||
Article 8, Volume 27, Issue 1, January 2018, Page 139-150 | ||||
Document Type: Original Article | ||||
DOI: 10.21608/mjeer.2018.64406 | ||||
View on SCiNiTO | ||||
Authors | ||||
Basim M. Eldowek1; Saied M. Abd El-atty1; El-Sayed M El-Rabaie1; Fathi E. Abd El-Samie1; Sally Abdulaziz* 2 | ||||
1Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt. | ||||
2Industrial Electronics and Control Engineering Department Faculty of Electronic Engineering Menoufia University, Minouf, Egypt | ||||
Abstract | ||||
The predominant direction in modern wireless mobile communication is to take advantage of using new spectrums in the Fifth Generation (5G) of mobile networks which planned to be started by 2020. These new spectrums can be provided through Millimeter Wave (mmW) bands which extended from 30 GHz to 300 GHz and have not been exploited before in the previous generations of mobile. This paper presents a closed form expressions for small scale fading space-time correlation function at mmW bands to get the appropriate antenna spacing in MIMO systems to be used in uncorrelated mmW 5G systems. First a geometry based three dimensional (3D) cylinder channel model has been built followed by its impulse response. Form the model the MIMO channel space-time correlation at different mmW bands has been extracted. The analytical model validity has been checked by comparing its results with that published earlier for the Third generation as a special case. | ||||
References | ||||
dth: 0px; "> [1] T. S. Rappaport et al., “Millimeter Wave Wireless Communications,” Pearson/Prentice Hall, 2015. [2] Y. Azar, G. N. Wong, K. Wang, R. Mayzus, J. K. Schulz, H. Zhao, F. Gutierrez, D. Hwang, and T. S. Rappaport, “28 GHz Propagation Measurements for Outdoor Cellular Communications Using Steerable Beam Antennas in New York City,” 2013 IEEE International Conference on Communications (ICC), Budapest, pp. 5143-5147, 2013. [3] G. R. MacCartney and T. S. Rappaport, “73 GHz Millimeter wave Propagation Measurements for Outdoor Urban Mobile and Backhaul Communications in New York City,” 2014 IEEE International Conference adjust: auto; -webkit-text-stroke-widton Communications (ICC), Sydney, NSW, pp. 4862-4867, 2014. [4] G. R. MacCartney, M. K. Samimi, and T. S. Rappaport, "Omnidirectional Path Loss Models in New York City at 28 GHz and 73 GHz,“ 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), Washington DC, pp. 227-231, 2014. [5] T. S. Rappaport, J. N. Murdock, and F. Gutierrez, “State of the Art in 60- GHz Integrated Circuits and Systems for Wireless Communications,” Proceedings of the IEEE, vol. 99, no. 8, pp. 1390–1436, August 2011. [6] 3GPP TR 36.873, “Study on 3D channel model for LTE”, Release 12, v1.3.0, February, 2014 (available at www.3gpp.org). [7] M. K. Samimi and T. S. Rappaport, “Ultra-wideband Statistical Channel Model for 28 GHz Millimeter-wave Urban NLOS Environments,” 2014 IEEE Global Telecommunications Conference, Austin, Texas, December 2014. [8] M. K. Samimi and T. S. Rappaport,”3-D Statistical Channel Model for Millimeter-Wave Outdoor Mobile Broadband Communications,” 2015 IEEE International Conference on Communications (ICC), London, pp. 2430- 2436, 2015. [9] T. S. Rappaport, et. al., “Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!”, IEEE Access, vol. 1, pp. 335-349, 2013. [10] T. Aulin, “A modified Model for the Fading at a Mobile Radio Channel,” IEEE Transactions on Vehicular Technology, vol. 28, no. 3, pp. 182-203, Aug. 1979. [11] A.M.D. Turkmani and J.D. Parsons, “Characterization of Mobile Radio Signals: Model Description,” IEE Proceedings I - Communications, Speech and Vision, vol. 138, no. 6, pp. 549-556, Dec. 1991. [12] A. Abdi andM. Kaveh, “A space–time Correlation Model for Multielement Antenna Systems in Mobile Fading Channels,” IEEE Journal on Selected Areas in Communications., vol. 20, no. 3, pp. 550–560, Apr. 2002. [13] A. G. Zajic and G. L. Stuber, “Three-Dimensional Modeling, Simulation, and Capacity Analysis of Space–Time Correlated Mobile-to-Mobile Channels," in IEEE Transactions on Vehicular Technology, vol. 57, no. 4, pp. 2042-2054, July 2008. [14] E. T. Michailidis and A. G. Kanatas, “Three-Dimensional HAP-MIMO Channels: Modeling and Analysis of Space-Time Correlation,” in IEEE Transactions on Vehicular Technology, vol. 59, no. 5, pp. 2232-2242, Jun 2010. [15] Basim Eldowek, Emmanouel Michailidis, Yasser Albagory, Mohamad AbdElnaby, El-Sayed El-Rabaie, Moawad Dessouky, Abdel-Aziz Shalaby, Bassiouny Sallam, Fathi Abd El-Samie, Athanasios Kanatas., "Complex dth: 0px; "> Envelope Second-Order Statistics in High-Altitude Platforms Communication Channels", Springer Wireless Personal Communications, vol. 77, no. 4, pp 2517-2535, 2014. [16] J. Salz and J. H. Winters, “Effect of Fading Correlation on Adaptive Arrays in Digital Mobile Radio,” IEEE Transactions on Vehicular Technology, vol. 43, no. 4, pp. 1049–1057, Nov. 1994. [17] K. I. Pedersen, P. E. Mogensen and B. H. Fleury, "Power azimuth spectrum in outdoor environments," in Electronics Letters, vol. 33, no. 18, pp. 1583- 1584, Aug 1997. [18] K. I. Pedersen, P. E. Mogensen and B. H. Fleury, "Power azimuth spectrum in outdoor environments," in Electronics Letters, vol. 33, no. 18, pp. 1583- 1584, Aug 1997. [19] T. Taga, “Analysis for Mean Effective Gain of Mobile Antennas in Land Mobile Radio Environments,” IEEE Transactions on Vehicular Technology, vol. 39, no. 2, pp. 117–131, May 1990. [20] E. T. Michailidis and A. G. Kanatas, "A three dimensional model for land mobile-HAP-MIMO fading channels," 2008 10th International Workshop on Signal Processing for Space Communications, Rhodes Island, 2008, pp. 1-6. | ||||
Statistics Article View: 146 |
||||