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1 - Introduction to high-speed wireless communications

from Part I - Introduction

Published online by Cambridge University Press:  27 May 2010

Jiangzhou Wang
Jiangzhou Wang
Affiliation:
University of Kent, Canterbury
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Summary

Wireless communications and internet services have been penetrating into our society and affecting our everyday life profoundly during the last decade far beyond any earlier expectations. In addition, the demand for wireless communications is still growing rapidly and wireless systems that support voice communications have already been deployed with great success. Further wireless mobile and personal communication systems are expected to support a variety of high-speed multimedia services, such as high-speed internet access, high-quality video transmission and so on. To meet the demand for high data rate services in broadband wireless systems, various systems and/or technologies have been proposed, such as the ultra-wideband (UWB) system, and evolved third generation (3G) and fourth generation (4G) mobile communications systems.

UWB communications

In the foreseeable future, the development of low-power, short-range and high-speed transmission systems is going to play a significant role in the area of wireless communication, due to a blooming growth in demand for information sharing and data distribution tools to be used in hot-spot layer and personal network layer communications. At the same time, the radio frequency (RF) spectrum suitable for wireless links is limited, so efficient spectrum utilization is a challenging problem in physical-layer communication engineering [1]. All these have motivated the exploration of the UWB transmission system.

Recently, there has been a growing interest in the research and development of novel technologies aimed at allowing new services to use the radio spectrum already allocated to established services, but without causing noticeable interference to existing users.

Type
Chapter
Information
High-Speed Wireless Communications
Ultra-wideband, 3G Long Term Evolution, and 4G Mobile Systems
 , pp. 3 - 30
Publisher: Cambridge University Press
Print publication year: 2008

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References

Ultra Wideband Working Group, www.uwb.org/standards.htm.
Welborn, M. L., “System considerations for ultra-wideband wireless networks,” in Proc. IEEE VTC'01-Spring, Rhodes, Greece.
Mitchell, T., “Broad is the way,” IEE Review, pp. 35–39, Jan. 2001.CrossRefGoogle Scholar
T. T. Wong, “Multicarrier code division multiple access overlay for ultra-wideband wireless communications,” M.Phil. Thesis, University of Hong Kong, 2003.
Wang, J. and Milstein, L. B., “Multicarrier code division multiple access overlay for ultra-wideband communications,” IEEE Trans. Commun., vol. COM-52, pp. 1664–1669, Oct. 2004.Google Scholar
Wong, T. T. and Wang, J., “minimum mean squared error receiver for multicarrier code division multiple access overlay in ultra-wideband communications,” IEEE Trans. Vehicular Tech., vol. VT-54, pp. 603–614, March 2005.Google Scholar
Y. L. Huang, “Study of advanced techniques in high speed wireless transmissions,” Ph.D. Thesis, University of Hong Kong, 2006.
Rick, R. R. and Milstein, L. B., “Optimal decision strategies for acquisition of spread-spectrum signals in frequency-selective fading channels,” IEEE Trans. Commun., vol. 46, pp. 686–694, May 1998.CrossRefGoogle Scholar
Y. Liu, “Resource management techniques for high performance ultra wideband wireless networks,” Ph.D. Thesis, University of Hong Kong, 2006.
Adachi, F., Sawahashi, M. and Suda, H., “Wideband direct sequence-code division multiple access for next-generation mobile communications systems,” IEEE Comm. Mag., vol. 36, no. 9, pp. 56–69, Sept. 1998.CrossRefGoogle Scholar
Third generation partnership project, www.3gpp.org.
Third generation partnership project 2, www.3gpp2.org.
X. Y. Wang, “Transmit diversity in code division multiple access for wireless communications,” Ph.D. Thesis, University of Hong Kong, 2003.
Alamouti, S. M., “A simple transmit diversity technique for wireless communications,” IEEE J. Select. Areas Comm., vol. 16, no. 8, pp. 1451–1458, Oct. 1998.CrossRefGoogle Scholar
Tarokh, V., Jafarkhani, H. and Calderbank, A. R., “Space-time block codes from orthogonal designs,” IEEE Trans. Inform. Theory, vol. 45, no. 5, pp. 1456–1467, July 1999.CrossRefGoogle Scholar
Sundberg, C. W., Wong, W. C. and Steel, R., “Logarithmic PCM weighted quadrature amplitude modulation transmission over Gaussian and Rayleigh fading channels,” IEE Proc., vol. 134, pp. 557–570, Oct. 1987.Google Scholar
Goldsmith, A. J. and Chua, S. G., “Variable-rate variable-power multilevel quadrature amplitude modulation for fading channels,” IEEE Trans. Commun., vol. 45, pp. 1218–1230, Oct. 1997.CrossRefGoogle Scholar
Yang, L. and Hanzo, L., “A recursive algorithm for the error probability evaluation of M-quadrature amplitude modulation,” IEEE Commun. Lett., vol. 4, pp. 304–306, Oct. 2000.CrossRefGoogle Scholar
Tang, X., Alouini, M.-S. and Goldsmith, A. J., “Effect of channel estimation error on M-QAM BER performance in Rayleigh fading,” IEEE Trans. Commun., vol. 47, pp. 1856–1864, Dec. 1999.CrossRefGoogle Scholar
B. Xia, “Enhanced techniques for broadband wireless communications,” Ph.D. Thesis, University of Hong Kong, 2004.
Hanzo, L., Steel, R. and Fortune, P. M., “A subband coding, BCH coding, and 16-level quadrature amplitude modulation system for mobile radio communications,” IEEE Trans. Veh. Technol., vol. 39, pp. 327–339, Nov. 1990.CrossRefGoogle Scholar
Chen, J., Wang, J. and Sawahashi, M., “multicode interference cancellation for multicode wideband code division multiple access systems,” IEEE J. Select. Areas Commun., vol. 20, pp. 450–462, Feb. 2002.CrossRefGoogle Scholar
Higuchi, K., Fujiwara, A. and Sawahashi, M., “Multipath interference canceller for high-speed packet transmission with adaptive modulation and coding scheme in W-code division multiple access forward link,” IEEE J. Select. Areas Commun., vol. 20, pp. 419–432, Feb. 2002.CrossRefGoogle Scholar
Maeda, N., Kishiyama, Y., Atarashi, H. and Sawahashi, M., “Variable spreading factor-orthogonal frequency and code division multiplexing with two dimensional spreading that prioritizes time domain spreading for forward link broadband wireless access,” in Proc. IEEE VTC2003-Spring, Korea, pp. 127–132, April 2003.Google Scholar
Maeda, N., Atarashi, H., Abeta, S. and Sawahashi, M., “Pilot channel assisted minimum mean squared error combing in forward link for broadband orthogonal frequency and code division multiplexing packet wireless access,” IEICE Trans. Fundamentals, vol. E85-A, no. 7, pp. 1635–1646, July 2002.Google Scholar
Y. Q. Zhou, “Advanced techniques for high speed wireless communications,” Ph.D. Thesis, University of Hong Kong, 2003.
Foschini, G. J., “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,” Bell Labs. Tech. J., vol. 1, no. 2, pp. 41–59, 1996.CrossRefGoogle Scholar
Foschini, G. J. and Gans, M. J., “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Pers. Commun., vol. 6, pp. 311–335, 1998.CrossRefGoogle Scholar
Bolcskei, H., Gesbert, D. and Paulraj, A. J., “On the capacity of orthogonal frequency division multiplexing-based spatial multiplexing systems,” IEEE Trans. Commun., vol. 50, no. 2, pp. 225–234, Feb. 2002.CrossRefGoogle Scholar
Lu, B., Yue, G. and Wang, X., “Performance analysis and design optimization of low density parity check-coded MIMO OFDM systems,” IEEE Trans. Signal. Process., vol. 52, no. 2, pp. 348–361, Feb. 2004.CrossRefGoogle Scholar
Verdu, S., Multiuser Detection. Cambridge: Cambridge University Press, 1998.Google Scholar
Golden, G. D., Foschini, G. J., Valenzuela, R. A. and Wolniansky, P. W., “Detection algorithm and initial laboratory results using the V-BLAST space-time communication architecture,” Electronics Lett., vol. 35, no. 1, pp. 14–15, Jan. 1999.CrossRefGoogle Scholar
Higuchi, K., Kawai, H., Maeda, N.et al., “Likelihood function for QRM-maximum likelihood detection suitable for soft-decision turbo decoding and its performance for OFCDM MIMO multiplexing in multipath fading channel,” IEICE Trans. Commun., vol. E88-B, no. 1, pp. 47–57, Jan. 2005.Google Scholar
Moher, M., “An iterative multiuser decoder for near-capacity communications,” IEEE Trans. Commun., vol. 46, pp. 870–880, July 1998.CrossRefGoogle Scholar
Marinkovic, S., Vucetic, B. and Ushirokawa, A., “Space-time iterative and multi-stage receiver structures for code division multiple access mobile communication systems,” IEEE J. Select. Areas Commun., vol. 19, no. 8, pp. 1594–1604, Aug. 2001.CrossRefGoogle Scholar
Wang, X. and Poor, H. V., “Iterative (Turbo) soft interference cancellation and decoding for coded code division multiple access,” IEEE Trans. Commun., vol. 47, pp. 1046–1061, July 1999.CrossRefGoogle Scholar
Wicker, S. B., Error Control Systems for Digital Communication and Storage. New Jersey: Prentice Hall, 1995.Google Scholar
Lin, S. and Costello, D. J. Jr., Error Control Coding: Fundamentals and Applications. Englewood Cliffs, NJ: Prentice-Hall, 1984.Google Scholar
Narayanan, K. R. and Stuber, G. L., “A novel automatic repeat request technique using the Turbo coding principle,” IEEE Commun. Lett., vol. 1, pp. 49–51, March 1997.CrossRefGoogle Scholar
Yamamoto, H. and Itoh, K., “Viterbi decoding algorithm for convolutional codes with repeat request,” IEEE Trans. Inform. Theory, vol. IT-26, pp. 540–547, Sept. 1980.CrossRefGoogle Scholar
Harvey, B. A. and Wicker, S. B., “Packet combining systems based on the Viterbi decoder,” IEEE Trans. Commun., vol. 42, pp. 1544–1557, April 1994.CrossRefGoogle Scholar
Berrou, C. and Glavieux, A., “Near optimum error correcting coding and decoding: Turbo-codes (1),” in Proc. of ICC'93, pp. 1064–1070, May 1993.CrossRefGoogle Scholar
Viterbi, A. J., “Error bounds for convolutional codes and an asymptotically optimum decoding algorithm,” IEEE Trans. Inform. Theory, vol. IT-13, pp. 260–269, April 1967.Google Scholar

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