NXG04-1: Interference Analysis in MQAM-OFDM Microcellular Mobile Communication Systems Considering Imperfect Inter-cell Synchronization

This paper presents a theoretical performance analysis of downlink (base-to-mobile) OFDM (Orthogonal frequency-division multiplexing) micro-cellular radio communication systems. The model developed in this analysis determines accurate interference analysis which takes into consideration frequency and timing synchronization errors between cochannel cells in a Nakagami/Rayleigh fading scenario. This leads to new, accurate and computationally efficient expressions for average bit error rates and cutoff rates of MQAM-OFDM in a micro-cellular environment. Results obtained are applicable in the investigation of the effect of synchronization errors on the spectral efficiency of OFDM based micro-cellular systems. Whilst the system is more robust against timing jitters resulting from separation distances from the victim receiver, frequency synchronization errors above 10-1 have the potential to create a loss in spectral efficiency of up to 7.5% for 16 QAM.

[1]  C.R.N. Athaudage BER sensitivity of OFDM systems to time synchronization error , 2002, The 8th International Conference on Communication Systems, 2002. ICCS 2002..

[2]  Marc Moeneclaey,et al.  The effect of carrier frequency offset on the performance of band limited single carrier and OFDM signals , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[3]  Khairi Ashour Hamdi,et al.  A Useful Technique for Interference Analysis in Nakagami Fading , 2007, IEEE Transactions on Communications.

[4]  Marc Moeneclaey,et al.  The BER performance of OFDM systems using non-synchronized sampling , 1994, 1994 IEEE GLOBECOM. Communications: The Global Bridge.

[5]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[6]  J. Shapira Microcell engineering in CDMA cellular networks , 1994 .

[7]  Norman C. Beaulieu,et al.  Precise error-rate analysis of bandwidth-efficient BPSK in Nakagami fading and cochannel interference , 2004, IEEE Transactions on Communications.

[8]  Santosh S. Venkatesh,et al.  A systematic approach to detecting OFDM signals in a fading channel , 2000, IEEE Trans. Commun..

[9]  Norman C. Beaulieu,et al.  Error rate of OFDM signals on frequency selective Nakagami-m fading channel , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[10]  Marvin K. Simon,et al.  Digital Communication Techniques: Signal Design and Detection , 2008 .

[11]  Luca Rugini,et al.  BER of OFDM systems impaired by carrier frequency offset in multipath fading channels , 2005, IEEE Transactions on Wireless Communications.

[12]  Jean-Claude Belfiore,et al.  Spectrum efficiency limits in mobile cellular systems , 1996 .

[13]  A. M. Mathai Quadratic forms in random variables , 1992 .

[14]  Dongweon Yoon,et al.  On the general BER expression of one- and two-dimensional amplitude modulations , 2002, IEEE Trans. Commun..

[15]  Marc Moeneclaey,et al.  BER sensitivity of OFDM systems to carrier frequency offset and Wiener phase noise , 1995, IEEE Trans. Commun..