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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=2#.VNMppizQrzE
Affiliation(s)
1University Mohamed V-Agdal Faculty of Sciences, UFR Informatics and Telecommunication B.P. 1014 Rabat, Maroc.
Faculty Ain Chok ,UFR Signal Processing ,University Hassan II, B.P. 5366 Casablanca, Maroc.
University Mohamed V-Agdal Faculty of Sciences, UFR Informatics and Telecommunication B.P. 1014 Rabat, Maroc.
University of Catalonia Dept. of Signal Theory and Communications Campus Nord,Modul D5, C/ Jordi Girona 1-3, Espagne.
Faculty Ain Chok ,UFR Signal Processing ,University Hassan II, B.P. 5366 Casablanca, Maroc.
University Mohamed V-Agdal Faculty of Sciences, UFR Informatics and Telecommunication B.P. 1014 Rabat, Maroc.
University of Catalonia Dept. of Signal Theory and Communications Campus Nord,Modul D5, C/ Jordi Girona 1-3, Espagne.
ABSTRACT
This
paper presents a scheduling scheme for packet transmission in OFDM
wireless system with adaptive techniques.The concept of efficient
transmission capacity is introduced to make scheduling decisions based
on channel conditions.We present a mathematical technique for
determining the optimum transmission rate, packet size, Forward Error
Correction and constellation size in wireless system that have
multi-carriers for OFDM modulation in downlink transmission. The
throughput is defined as the number of bits per second correctly
received. Trade-offs between the throughput and the operation range are
observed, and equations are derived for the optimal choice of the design
variables. These parameters are SNR dependent and can be adapted
dynamically in response to the mobility of a wireless data terminal. We
also look at the joint optimization problem involving all the design
parameters together. In the low SNR region it is achieved by adapting
the symbol rate so that the received SNR per symbol stays at some
preferred value. Finally, we give a characterization of the optimal
parameter values as functions of received SNR Simulation results are
given to demonstrate efficiency of the scheme.
Cite this paper
References
FAKHRI,
Y. , NSIRI, B. , ABOUTAJDINE, D. and VIDAL, J. (2008) Adaptive
Throughput Optimization in Downlink Wireless OFDM System. Int'l J. of Communications, Network and System Sciences, 1, 10-15. doi: 10.4236/ijcns.2008.11002.
| [1] | H. Sampath, S. Talwar, J. Tellado, V. Erceg, and A.Paulraj, A Fourthgeneration MIMO-OFDM Broadband Wireless System: Design, Performance,and Field Trial Results, IEEE Communications Magazine, vol. 40, no. 9, pp. 143-149, 2002 |
| [2] | T.S. Rappaport, A. Annamalai, R. M. Buehrer, and W. H. Tranter,Wireless Communications: Past Events and a Future Perspective, IEEE Communications Magazine, pp. 148-161, May 2002 |
| [3] | T.S. Rappaport, A. Annamalai, R. M. Buehrer, and W. H. Tranter,Wireless Communications: Past Events and a Future Perspective, IEEE Communications Magazine, pp. 148-161, May 2002 |
| [4] | J. A. C. Bingham, Multicarrier Modulation for Data Transmisson: an Idea whose Time Has Come, IEEE Communications Magazine, vol. 28, no. 5, pp. 5-14,May 1990 |
| [5] | Y.Fakhri,D.Aboutajdine,J.Vidal. Multicarrier power allocation for maximum throughput in delayed channel knowledge conditions. Proc. Of International Workshop on Wireless Communication in Underground and Confined Areas IWWCUCA2005, Val-dor, Quebec, Canada, Juin 6-7, 2005 |
| [6] | J. Goldsmith and S.-G. Chua, Adaptive coded modulation for fading channels, IEEE Trans.Commun., vol. 46, pp. 595-602, May 1998 |
| [7] | H. Matsuoka, S. Sampei, N. Morinaga, and Y. Kamio, Adaptive modulation system with variable coding rate concatenated code for high quality multi-media communication systems, IEICE Trans. Commun., vol. E79-B, pp. 328-334, Mar. 1996. |
| [8] | M. B. Pursley and J. M. Shea, Adaptive non uniform phase-shift-key modulation for multimedia traffic in wireless networks, IEEE J. Select. Areas Commun, vol. 18, pp. 1394-1407, Aug. 2000. |
| [9] | S. Catreux, P. F. Driessen, and L. J. Greenstein, Data throughputs using multiple-input multiple-output (MIMO) techniques in a noiselimited cellular environment, IEEE Trans. Wireless Commun., vol. 1, pp. 226-235, Apr. 2002. |
| [10] | J. G. Proakis, Digital Communications, 4th Ed, New York: McGraw-Hill, 2000. |
| [11] | S. T. Chung, A. Goldsmith, Degrees of freedom in adaptive modulation:a unified view, IEEE Trans. Commun., vol. 49, pp. 1561-1571, Sep. 2001. |
| [12] | Clark,George C., Jr., Cain, J. Bibb, Error-Correction Coding for Digital Communications. Plenum Press, NY, 1981. p38. |
| [13] | Clark,George C., Jr., Cain, J. Bibb, Error-Correction Coding for Digital Communications. Plenum Press, NY, 1981. p219. eww150205lx |
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