ISI Cancellation in 4G Wireless Mobiles

ISI Cancellation in 4G Wireless Mobiles

Kumar Priyatam, R. M. Banakar, B. Shankaranand
ISBN13: 9781605661568|ISBN10: 1605661562|EISBN13: 9781605661575
DOI: 10.4018/978-1-60566-156-8.ch033
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MLA

Priyatam, Kumar, et al. "ISI Cancellation in 4G Wireless Mobiles." Handbook of Research in Mobile Business, Second Edition: Technical, Methodological and Social Perspectives, edited by Bhuvan Unhelkar, IGI Global, 2009, pp. 354-367. https://doi.org/10.4018/978-1-60566-156-8.ch033

APA

Priyatam, K., Banakar, R. M., & Shankaranand, B. (2009). ISI Cancellation in 4G Wireless Mobiles. In B. Unhelkar (Ed.), Handbook of Research in Mobile Business, Second Edition: Technical, Methodological and Social Perspectives (pp. 354-367). IGI Global. https://doi.org/10.4018/978-1-60566-156-8.ch033

Chicago

Priyatam, Kumar, R. M. Banakar, and B. Shankaranand. "ISI Cancellation in 4G Wireless Mobiles." In Handbook of Research in Mobile Business, Second Edition: Technical, Methodological and Social Perspectives, edited by Bhuvan Unhelkar, 354-367. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-156-8.ch033

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Abstract

Physical layer issues of broadband wireless communication systems form the bottleneck in providing fast and reliable communication over wireless channel. Critical performance limiting challenges are time selective fading channels, frequency selective fading channels, noise, inter symbol interference (ISI), inter carrier interference, power, and bandwidth. Addressing these challenges of wireless broadband communication systems, one can provide faster data processing with lower computational complexity, higher data throughput, and improved performance in terms of bit error rate (BER). In this chapter an effective technique (SISO estimation) to handle interference cancellation is developed. ISI is caused by multi-path propagation. It can be reduced by using a channel equalizer which provides the receiver with the prior knowledge of the channel. Channel estimation is a technique to acquire behavior of the channel. Accuracy of the channel estimation improves the system performance. At BER of 10-4 SISO estimator provide an improvement of 2dB as compared with MMSE DFE estimator.

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