Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Average Switching Thresholds and Average Throughput for Adaptive Modulation using Markov Model
Authors: Essam S. Altubaishi
Abstract:
The motivation for adaptive modulation and coding is to adjust the method of transmission to ensure that the maximum efficiency is achieved over the link at all times. The receiver estimates the channel quality and reports it back to the transmitter. The transmitter then maps the reported quality into a link mode. This mapping however, is not a one-to-one mapping. In this paper we investigate a method for selecting the proper modulation scheme. This method can dynamically adapt the mapping of the Signal-to- Noise Ratio (SNR) into a link mode. It enables the use of the right modulation scheme irrespective of changes in the channel conditions by incorporating errors in the received data. We propose a Markov model for this method, and use it to derive the average switching thresholds and the average throughput. We show that the average throughput of this method outperforms the conventional threshold method.Keywords: Adaptive modulation and coding, CDMA, Markov model.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055673
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1735References:
[1] L. Jorguseki, E. Fledderus, J. Farserotu, and R. Prasad, "Radio Resource Allocation in Third-Generation Mobile Communication Systems," IEEE Comm. Magazine, Feb. 2001.
[2] S. Kim, and Y. Lee, "Combined Rate and Power Adaptation in DS/CDMA Communications over Nakagami Fading Channels," IEEE Trans. Commun., vol. 48, no. 1, Jan. 2000.
[3] K. Leung and L. Wang, "Controlling QoS by Integrated Power Control and Link Adaptation in Broadband Wireless Networks," European Trans. on Telecommunications, vol. 11, no. 4, pp. 383-393, 2000.
[4] X. Qiu and K. Chawla, "On the Performance of Adaptive Modulation in Cellular Systems," IEEE Transactions on Vehicular Technology, vol. 47, no. 6, pp. 884-895, 1999.
[5] A. J. Goldsmith and S. G. Chua, "Variable-Rate Variable-Power MQAM for Fading Channels," IEEE Trans. Commun., vol. 45, pp. 1218-1230, Oct. 1997.
[6] M-S. Alouini and A. J. Goldsmith, "Capacity of Rayleigh Fading Channels Under Different Adaptive Transmission and Diversity- Combining Techniques", IEEE Trans. Veh. Technol., vol. 48, pp. 1165- 1181, Jul. 1999.
[7] W. Choi, K. Cheong, and J. Cioffi, "Adaptive Modulation with Limited Peak Power for Fading Channels," Proc. IEEE VTC'00, pp. 2568-2571, Mar. 2000.
[8] A. J. Goldsmith and S. G. Chua, "Adaptive Coded Modulation for Fading Channels," IEEE Trans. Commun., vol. 45, pp. 595-602, May 1998.
[9] V. Lau and M. Macleod, "Variable Rate Adaptive Trellis Coded QAM for High Bandwidth Effciency Applications in Rayleigh Fading Channels," Proc. IEEE VTC'98, pp. 348-352, Apr. 1998.
[10] S. M. Alamouti and S. Kallel, "Adaptive Trellis-Coded Multiple-Phased- Shift Keying for Rayleigh Fading Channels," IEEE Trans. Commun., vol. 42, pp. 2305-2314, Jun. 1994.
[11] K. J. Hole and G. E. Oien, "Spectral Effciency of Adaptive Coded Modulation in Urban Microcellular Networks," IEEE Trans. Veh. Technol., vol. 50, pp. 205-220, Jan. 2001.
[12] 3GPP2, C.S0024 v.2.0, "cdma2000 High Rate Packet Data Air Interface Specification", Oct. 2000.
[13] P. Bender, P. Black, M. Grob, R. Padovani, N. Sindhushyana, and S. Viterbi, "CDMA/HDR: a Bandwidth Efficient High Speed Wireless Data Service for Nomadic Users", IEEE Communications Magazine, vol.38, pp. 70-77, July 2000.
[14] 3GPP TR 25.858 v5.0.0, "High Speed Downlink Packet Access: Physical Layer Aspects," (Release 5), March 2003.
[15] T. E. Kolding, F. Frederiksen, and P. E. Mogensen, "Performance Aspects of WCDMA Systems with High speed Downlink Packet Access (HSDPA)," Proceedings, VTC, vol. 1, pp. 477-481, September 2002.
[16] I. Koo, Y. Lee, and K. Kim, "Performance Analysis of CDMA Systems with Adaptive Modulation Scheme," IEICE Trans. Commun., Vol. E86- B, No.1, Jan. 2003.
[17] T. Kolding, F. Frederiksen, P. Mogensen, "Performance Evaluation of Modulation and Coding Schemes Proposed for HSDPA in 3.5G UMTS Networks," Proceding IEEE WPMC, pp. 307-312, September 2001.
[18] D. L. Goeckel, "Adaptive Coding for Time-Varying Channels Using Outdated Fading Estimates," IEEE Trans. Commun., vol. 47, pp. 844- 855, Jun. 1999.
[19] M. Zorzi, R. R. Rao, and L. B. Milstein, "On the accuracy of a firstorder Markov model for data block transmission on fading channels," in Proc. IEEE ICUPC-95, Nov. 1995, pp. 211-215.
[20] H. S. Wang and N. Moayeri, "Finite-state Markov channelÔÇöa useful model for radio communication channels," IEEE Trans. Veh. Technol., vol. 44, no. 1, pp. 163-171, Feb. 1995.
[21] Yang, J.; Khandani, A.K.; Tin, N., "Statistical decision making in adaptive modulation and coding for 3G wireless systems," IEEE Trans. Veh. Technol., vol. 54, no. 6, pp. 2066-2073, Nov. 2005.
[22] A. Sampath, P. S. Kumar, J. M. Holtzman,. "On setting reverse link target SIR in a CDMA system," Vehicular Technology Conference, 1997, IEEE 47th, Volume: 2, 1997 Page(s): 929-933 vol. 2.
[23] A. L. Garcia, Probability and Random Processes for Electrical Engineering, Addison Wesley, second edition, 1994.
[24] T. M. Cover, J. A. Thomas, Elements of Information theory, John Wiley and Sons., 1991.
[25] M. S. Alouini, X. Tand, and A. J. Goldsmith, "An adaptive modulation scheme for simultaneous voice and data transmission over fading channels," IEEE J. Selected Area Commun., vol. 17,pp. 837-850, May 1999.
[26] D. Yoon, K. Cho, and J. Lee, "Bit error probability of M-ary quaderature amplitude modulation," Proc. IEEE Vehicular Technology Conf., vol. 5, pp. 2422-2427, Sept. 2000.