Investigation of Rayleigh and Rician fading channels for state of the art (SOA) LTE-OFDM communication system

Some of the major difficulties for State of the Art (SOA) Long Term Evolution (LTE) system are the requirements of higher bit rate and improved Quality of Service (QoS). Bandwidth limitation and varying nature of wireless channel are needed to be investigated during the development of a new generation wireless system. LTE has adopted adaptive technologies starting from Orthogonal Frequency Division Multiplexing (OFDM) to ‘dynamic channel estimation and equalization’ in order to counteract the dynamic and dubious nature of a fading channel. Rician K-factor and RMS Delay Spread (RDS) are two main parameters those characterize a multipath fading channel. Particularly Rayleigh and Rician fading channels can be characterized by K-factors and RDS. Rician-K and RDS of a multipath fading channel can be controlled through different parameters, one of them is the beamwidth of used antenna system. Effects of antenna beamwidth, RDS, Rician-K and other channel parameters on LTE-OFDM channels are investigated and presented in this paper through theoretical analysis and simulations of channel models.

[1]  Ramjee Prasad,et al.  OFDM for Wireless Communications Systems , 2004 .

[2]  Zeeshan Hameed Mir,et al.  LTE and IEEE 802.11p for vehicular networking: a performance evaluation , 2014, EURASIP J. Wirel. Commun. Netw..

[3]  Bruno Clerckx,et al.  MIMO techniques in WiMAX and LTE: a feature overview , 2010, IEEE Communications Magazine.

[4]  Mark A Beach,et al.  Wireless propagation measurements in indoor multipath environments at 1.7 GHz and 60 GHz for small cell systems , 1991, [1991 Proceedings] 41st IEEE Vehicular Technology Conference.

[5]  A. Maltsev,et al.  Statistical channel model for 60 GHz WLAN systems in conference room environment , 2010, Proceedings of the Fourth European Conference on Antennas and Propagation.

[6]  Lan truyền,et al.  Wireless Communications Principles and Practice , 2015 .

[7]  Theodore S. Rappaport,et al.  28 GHz Millimeter-Wave Ultrawideband Small-Scale Fading Models in Wireless Channels , 2015, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[8]  Theodore S. Rappaport,et al.  Wireless Communications: Principles and Practice (2nd Edition) by , 2012 .

[9]  T. Thomas,et al.  MIMO antenna system with high gain and low SAR at for UE of 5G operating MM wave: Design , 2015, 2015 10th International Conference on Information, Communications and Signal Processing (ICICS).

[10]  Simon Haykin,et al.  Communication Systems , 1978 .

[11]  L.J. Greenstein,et al.  An empirically-based path loss model for wireless channels in suburban environments , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[12]  Larry J. Greenstein,et al.  Ricean $K$-Factors in Narrow-Band Fixed Wireless Channels: Theory, Experiments, and Statistical Models , 2009, IEEE Transactions on Vehicular Technology.

[13]  Ramjee Prasad,et al.  Wideband indoor channel measurements and BER analysis of frequency selective multipath channels at 2.4, 4.75, and 11.5 GHz , 1996, IEEE Trans. Commun..

[14]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution, Second Edition , 2011 .

[15]  Chung G. Kang,et al.  MIMO-OFDM Wireless Communications with MATLAB , 2010 .

[16]  Gerard J. M. Janssen,et al.  Wideband indoor and outdoor multipath channel measurements at 17 GHz , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[17]  Peter F. M. Smulders,et al.  Statistical Characterization of 60-GHz Indoor Radio Channels , 2009, IEEE Transactions on Antennas and Propagation.