Mitigation of ISI for Next Generation Wireless Channels in Outdoor Vehicular Environments
In order to accommodate various multimedia
services, next generation wireless networks are characterized
by very high transmission bit rates. Thus, in such systems and
networks, the received signal is not only limited by noise but -
especially with increasing symbols rate often more
significantly by the intersymbol interference (ISI) caused by
the time dispersive radio channels such as those are used in
this work. This paper deals with the study of the performance
of detector for high bit rate transmission on some worst case
models of frequency selective fading channels for outdoor
mobile radio environments. This paper deals with a number of
different wireless channels with different power profiles and
different number of resolvable paths. All the radio channels
generated in this paper are for outdoor vehicular environments
with Doppler spread of 100 Hz. A carrier frequency of 1800
MHz is used and all the channels used in this work are such
that they are useful for next generation wireless systems.
Schemes for mitigation of ISI with adaptive equalizers of
different types have been investigated and their performances
have been investigated in terms of BER measured as a function
of SNR.
[1] Yoshihiko Akaiwa, Introduction to digital mobile communication.
Canada: John wiley and sons 1997.
[2] M. Bhat and M. Salim Beg, "Computer simulation and modeling of
high speed data transmission over mobile radio links", Journal of
Institution of Engineers (I), vol. 77, pp. 20-23, Sept. 1996.
[3] A.A.M. Saleh and R.A. Valenzeula, "A Statistical model for indoor
multipath propagation" IEEE Journal on selected area in
communication, Vol. JSAC-5, No.2, pp. 128-133, 1987.
[4] M. Israil and M. Salim Beg, "Performance Assessment of Adaptive
equalizers for indoor mobile Channel", paper is presented in the
National Conference on Modern Trends in Electronics
Communication System (MTECS-2008), 8-9 March, 2008, AMU
Aligarh pp. 230-234.
[5] M. Salim Beg and M. Israil, "Adaptive Equalization for Indoor Fading
Channel", Paper presented in the National Conference on Emerging
Trends in Communication and Computing (ETCC-07), 27-28 July
2007, NIT Hamirpur, pp. 382-385.
[6] T.A. Sexton and K. Pahlavan, "Channel modeling and adaptive
equalization of indoor radio channels", IEEE Journal Selected Areas
in Communications, vol. 7, January 1989, pp. 114-121.
[7] T. S. Rappaport, Wireless Communications Principles and Practice.
New Jersey: Prentice Hall, 1996, pp. 197-216.
[8] A. P. Clark, "Near-Maximum-Likelihood Detections Process", Jordan
International Electrical and Electronics Engineering Conference,
April 28- May 1, 1985, pp 132-136.
[9] A. P. Clark, "Techniques for simplifying some Near-Maximum-
Likelihood Detectors", IEE Proc., Vol. 137, Pt I, No. 5, October 1990.
[10] M. N. Muhayiddin and M. Salim Beg, "Performance Analysis of NML
Detection for Next Generation Wideband Mobile Radio Applications",
Proc. Int. Conf. on Information, Communications, and Signal
Processing (ICICS2001), Oct. 2001, Singapore, paper no. 1A3.3 (in
CDROM).
[11] A. P. Clark, S.G. Jayasinghe, "Channel estimation of land mobile radio
systems", IEE Proc. Vol. 134, July 1987, pp. 383-393.
[12] M. Israil and M. Salim Beg, "Performance of some detectors for
outdoor mobile radio channels with severe distortion" The
Mediterranean Journal of electronics and communications, vol. 5,
No. 2, pp. 58-65, 2009.
[13] Matthias Patzold, Mobile fading channels. USA: Johan Wiley and
Sons Ltd, 2002.
[14] A .P. Clark, S. G. Jayasinghe, "Channel estimation of land mobile
radio systems", IEE Proc. Vol. 134, July 1987, pp. 383-393.
[15] M. Salim Beg, S.C. Tan and H. Hazemi, "Performance Assessment of
Some Adaptive Equalizers in Mobile Radio Environments", Proc.
International Symposium. on Wireless Personal Multimedia
Communications, Bangkok, Thailand, 2000, pp. 761-766
[16] J. Fuhl, J. P. Rossei, E. Bonek., "High-resolution 3-D direction-ofarrival
determination for urban mobile radio", IEEE Trans. Antennas
Propagation, Vol. 45, No. 4, 1997, pp. 672-682.
[1] Yoshihiko Akaiwa, Introduction to digital mobile communication.
Canada: John wiley and sons 1997.
[2] M. Bhat and M. Salim Beg, "Computer simulation and modeling of
high speed data transmission over mobile radio links", Journal of
Institution of Engineers (I), vol. 77, pp. 20-23, Sept. 1996.
[3] A.A.M. Saleh and R.A. Valenzeula, "A Statistical model for indoor
multipath propagation" IEEE Journal on selected area in
communication, Vol. JSAC-5, No.2, pp. 128-133, 1987.
[4] M. Israil and M. Salim Beg, "Performance Assessment of Adaptive
equalizers for indoor mobile Channel", paper is presented in the
National Conference on Modern Trends in Electronics
Communication System (MTECS-2008), 8-9 March, 2008, AMU
Aligarh pp. 230-234.
[5] M. Salim Beg and M. Israil, "Adaptive Equalization for Indoor Fading
Channel", Paper presented in the National Conference on Emerging
Trends in Communication and Computing (ETCC-07), 27-28 July
2007, NIT Hamirpur, pp. 382-385.
[6] T.A. Sexton and K. Pahlavan, "Channel modeling and adaptive
equalization of indoor radio channels", IEEE Journal Selected Areas
in Communications, vol. 7, January 1989, pp. 114-121.
[7] T. S. Rappaport, Wireless Communications Principles and Practice.
New Jersey: Prentice Hall, 1996, pp. 197-216.
[8] A. P. Clark, "Near-Maximum-Likelihood Detections Process", Jordan
International Electrical and Electronics Engineering Conference,
April 28- May 1, 1985, pp 132-136.
[9] A. P. Clark, "Techniques for simplifying some Near-Maximum-
Likelihood Detectors", IEE Proc., Vol. 137, Pt I, No. 5, October 1990.
[10] M. N. Muhayiddin and M. Salim Beg, "Performance Analysis of NML
Detection for Next Generation Wideband Mobile Radio Applications",
Proc. Int. Conf. on Information, Communications, and Signal
Processing (ICICS2001), Oct. 2001, Singapore, paper no. 1A3.3 (in
CDROM).
[11] A. P. Clark, S.G. Jayasinghe, "Channel estimation of land mobile radio
systems", IEE Proc. Vol. 134, July 1987, pp. 383-393.
[12] M. Israil and M. Salim Beg, "Performance of some detectors for
outdoor mobile radio channels with severe distortion" The
Mediterranean Journal of electronics and communications, vol. 5,
No. 2, pp. 58-65, 2009.
[13] Matthias Patzold, Mobile fading channels. USA: Johan Wiley and
Sons Ltd, 2002.
[14] A .P. Clark, S. G. Jayasinghe, "Channel estimation of land mobile
radio systems", IEE Proc. Vol. 134, July 1987, pp. 383-393.
[15] M. Salim Beg, S.C. Tan and H. Hazemi, "Performance Assessment of
Some Adaptive Equalizers in Mobile Radio Environments", Proc.
International Symposium. on Wireless Personal Multimedia
Communications, Bangkok, Thailand, 2000, pp. 761-766
[16] J. Fuhl, J. P. Rossei, E. Bonek., "High-resolution 3-D direction-ofarrival
determination for urban mobile radio", IEEE Trans. Antennas
Propagation, Vol. 45, No. 4, 1997, pp. 672-682.
@article{"International Journal of Electrical, Electronic and Communication Sciences:59500", author = "Mohd. Israil and M. Salim Beg", title = "Mitigation of ISI for Next Generation Wireless Channels in Outdoor Vehicular Environments", abstract = "In order to accommodate various multimedia
services, next generation wireless networks are characterized
by very high transmission bit rates. Thus, in such systems and
networks, the received signal is not only limited by noise but -
especially with increasing symbols rate often more
significantly by the intersymbol interference (ISI) caused by
the time dispersive radio channels such as those are used in
this work. This paper deals with the study of the performance
of detector for high bit rate transmission on some worst case
models of frequency selective fading channels for outdoor
mobile radio environments. This paper deals with a number of
different wireless channels with different power profiles and
different number of resolvable paths. All the radio channels
generated in this paper are for outdoor vehicular environments
with Doppler spread of 100 Hz. A carrier frequency of 1800
MHz is used and all the channels used in this work are such
that they are useful for next generation wireless systems.
Schemes for mitigation of ISI with adaptive equalizers of
different types have been investigated and their performances
have been investigated in terms of BER measured as a function
of SNR.", keywords = "Mobile channels, Rayleigh Fading,Equalization, NMLD.", volume = "3", number = "4", pages = "920-6", }