Wireless Future - Telenor

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56 7 Conclusion and Further Research The results presented in this paper indicate that it is possible to obtain a much larger spectral efficiency in wireless systems than achieved in present-day systems. The large increase in spectral efficiency may be obtained by utilizing coding schemes which adapt the information rates according to the quality of the wireless links. This in turn may enable the introduction of novel bandwidth-intensive multimedia services. 7.1 Planned Research While we have only considered narrowband channels with frequency-flat fading, adaptive coding techniques may also be used on broadband frequency-selective fading channels. Orthogonal frequency division multiplexing (OFDM) can be used to decompose a broadband frequency-selective fading channel into a set of parallel narrowband subchannels with flat fading [24]. Adaptive coding techniques may be utilized on each individual narrowband subchannel to achieve broadband OFDM transmission with large total average spectral efficiency. The success of ACM/OFDM is ultimately dependent on reliable knowledge of the subchannel dynamics at the transmitter. Since the subchannel states have to be estimated at the receiver, there will always be a certain degradation of system performance compared to the idealized case of perfect subchannel knowledge. It is important to minimize this degradation by finding optimal subchannel estimation techniques for realistic channel models. In November 2000, the authors started a new project with the title “Bandwidth-Efficient and Adaptive Transmission Schemes for Wireless Multimedia Communications” (BEATS). The BEATS project is a part of the IKT-2010 research programme funded by the Norwegian Research Council. The principal objective of this project is to develop bandwidth-efficient, adaptive OFDM schemes for broadband wireless multimedia communications. More information about the project may be found on the web-page http://www.tele.ntnu.no/beats/. As new results become available, they will be posted on this page. The authors also participate in the joint NTNU- Telenor research project “Turbo Codes, Access, and Network Technology” (TURBAN). Our TURBAN project goal is to determine efficient channel codes for use in adaptive transmission. References 1 Meyr, H. Algorithm design and system implementation for advanced wireless communications systems. In: Proc. International Zurich Seminar on Broadband Communications (IZS’2000), Zurich, 2000. 2 Bose, V, Wetherall, D, Guttag, J. Next century challenges : RadioActive Networks. In: Proc. ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM’99), Seattle, WA, 1999, 242–248. 3 Stüber, G L. Principles of Mobile Communication. Norwell, MA, Kluwer Academic Publishers, 1996. 4 Cover, T M, Thomas, J A. Elements of Information Theory. New York, Wiley, 1991. 5 Goldsmith, A J, Varaiya, P P. Capacity of fading channels with channel side information. IEEE Trans. Inform. Theory, 43 (6), 1986–1992, 1997. 6 Alouini, M-S, Goldsmith, A J. Capacity of Nakagami multipath fading channels. In: Proc. 47th IEEE Vehicular Technology Conference (VTC’97), Phoenix, AZ, 1997, 358–362. 7 Gradshteyn, I S, Ryzhik, I M. Table of Integrals, Series, and Products. San Diego, CA, Academic Press, fifth ed., 1994. 8 Webb, W T, Hanzo, L. Modern Quadrature Amplitude Modulation. Graham Lodge, London, Pentech Press, 1994. 9 Webb, W T, Steele, R. Variable rate QAM for mobile radio. IEEE Trans. Commun., 43 (7), 2223–2230, 1995. 10 Goldsmith, A J, Chua, S-G. Variable-rate variable-power MQAM for fading channels. IEEE Trans. Commun., 45 (10), 1218–1230, 1997. 11 Alouini, M-S, Goldsmith, A J. Adaptive M-QAM modulation over Nakagami fading channels. In: Proc. 6th Communications Theory Mini-Conference (CTMC VI) in conjunction with IEEE Global Communications Conference (GLOBECOM’97), Phoenix, Arizona, 1997, 218–223. Telektronikk 1.2001
12 Goldsmith, A J, Chua, S-G. Adaptive coded modulation for fading channels. IEEE Trans. Commun., 46 (5), 595–602, 1998. 13 Lau, V K N, Macleod, M D. Variable rate adaptive trellis coded QAM for high bandwidth efficiency applications in Rayleigh fading channels. In: Proc. 48th IEEE Vehicular Technology Conference (VTC’98), Ottawa, Canada, 1998, 348–351. 14 Ue, T et al. Symbol rate and modulation level-controlled adaptive modulation/ TDMA/TDD system for high-bit-rate wireless data transmission. IEEE Trans. Veh. Technol., 47 (4), 1134–1147, 1998. 15 Goeckel, D L. Adaptive coding for timevarying channels using outdated fading estimates. IEEE Trans. Commun., 47 (6), 844–855, 1999. 16 Kim, Y M, Lindsey, W C. Adaptive codedmodulation in slow fading channels. J. Commun. and Networks, 1 (2), 99–110, 1999. 17 Hole, K J, Holm, H, Øien, G E. Adaptive multidimensional coded modulation over flat fading channels. IEEE J. Select. Areas Commun., 18 (7), 1153–1158, 2000. 18 Ungerboeck, G. Channel coding with multilevel/phase signals. IEEE Trans. Inform. Theory, IT-28 (1), 55–67, 1982. Telektronikk 1.2001 19 Ungerboeck, G. Trellis-coded modulation with redundant signal sets – Part I: Introduction. IEEE Commun. Mag., 25 (2), 5–11, 1987. 20 Wei, L-F. Trellis-coded modulation with multidimensional constellations. IEEE Trans. Inform. Theory, 33 (7), 483–501, 1987. 21 Chouly, A, Sari, H. Six-dimensional trelliscoding with QAM signal sets. IEEE Trans. Commun., 40 (1), 24–33, 1992. 22 Pietrobon, S S, Costello, D J Jr. Trellis coding with multidimensional QAM signal sets. IEEE Trans. Inform. Theory, 39 (3), 325–336, 1993. 23 Hole, K J, Øien, G E. Spectral efficiency of adaptive coded modulation in urban microcellular networks. To appear in IEEE Trans. Veh. Technol. Paper may be obtained at http://www.tele.ntnu.no/beats/ 24 Van Nee, R, Prasad, R. OFDM for Wireless Multimedia Communications. Norwood, MA, Artech House Publishers, 2000. 57
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Telektronikk Volume 97 No. 1 - 2001
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Per Hjalmar Lehne (42) obtained his
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Stein Svaet (41) is Senior Research
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