The week's pick
Random Articles
Reseach Article
Adaptive Coding and Modulation for OFDM Systems using Product Codes and Fuzzy Rule Base System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 35 - Number 4 |
| Year of Publication: 2011 |
| Authors: Atta-ur-Rahman, Ijaz Mansoor Qureshi, M. Zeeshan Muzaffar |
10.5120/4393-6099
|
Atta-ur-Rahman, Ijaz Mansoor Qureshi, M. Zeeshan Muzaffar . Adaptive Coding and Modulation for OFDM Systems using Product Codes and Fuzzy Rule Base System. International Journal of Computer Applications. 35, 4 ( December 2011), 41-48. DOI=10.5120/4393-6099
Abstract
Adaptive communication has gained attentions of almost all future communication systems, especially Orthogonal Frequency Division Multiplexing (OFDM) Systems. Adaptive nature pays in terms of rate and power while satisfying certain criteria. In fact, this is a constrained optimization problem. In this paper a similar constrained optimization problem is focused. Adaptive modulation has been a key approach in adaptive systems while consideration of practical channel coding is a recent approach. Moreover, convolution codes and parallel concatenated codes (turbo codes) have been very much worked out for such systems while the serially concatenated codes (Product codes) are mostly neglected due their high decoding complexity. In this paper, we have chosen Product codes with a low decoding complexity decoder named Modified Iterative Decoding Algorithm (MIDA) as adaptive coding scheme and Quadrature Amplitude Modulation (QAM) as adaptive modulation. We propose a new scheme to adapt both code rate and modulation size by solving a non-convex optimization problem using a Fuzzy Rule Base System (FRBS) to enhance the achievable data rate in an OFDM system with a fixed target bit error rate and fixed transmit power for each subcarrier. Proposed scheme is compared with various well known adaptive modulation and coding (AMC) schemes.
References
- IEEE Std 802.16TM-2004, “Part 16: Air interface for fixed broadband wireless access systems,” Oct 2004.
- IEEE Std 802.16Etm-2005, “Part 16: Air interface for fixed and mobile broadband wireless access systems,” Feb. 2006.
- I. Kalet, “The multitone channel,” IEEE Tran. Commun., vol. 37, pp.119–124, Feb. 1989.
- P. S. Chow, J. M. Cioffi, and J. A. C. Bingham, “A practical discrete multitone transceiver loading algorithm for data transmission over spectrally shaped channels,” IEEE Trans. Commun., vol. 48, pp. 772–775, 1995.
- A.Cyzlwik, “Adaptive OFDM for wideband radio channels”, Global Telecommunications Conference, vol. 1, pp. 713-718, Nov 1996.
- K. Seshadri Sastry, “Fuzzy logic based Adaptive Modulation Using Non Data Aided SNR Estimation for OFDM system”, International Journal of Engineering Science and Technology (IJEST) Vol. 2(6), 2010, 2384-2392.
- T. Keller and L. Hanzo,“Adaptive modulation techniques for duplex OFDM transmission”. IEEE Transactions on Vehicular Technology, Vol.49, no.5, pp.1893-1906, 2000
- Y. Li and W.E. Ryan,”Mutual-Information-Based Adaptive Bit-Loading Algorithms for LDPC-Coded OFDM,”IEEE Trans. on Wireless Communications, vol. 6, no. 5, pp. 1670-1680, May 2007
- G. Caire, G. Taricco, and E. Biglieri, “Bit-Interleaved Coded Modulation,”IEEE Trans. on Information Theory, vol. 44, no. 3, pp. 927-946, 1998.
- O. Al-Askary,“Coding and iterative decoding of concatenated multi-level codes for the Rayleigh fading channel”, in Doctoral thesis in Radio communication systems, Stockholm, Sweden: KTH Information and Communication Technology, 2006.
- Atta-ur-rahman, S.A. Ghouri, H. Adeel, A. Waheed, “Performance of Iterative Decoding Algotihm for Product Code”. Proceedings of International Conference on Computational Aspects of Social Networks (CASON), Oct. 2011.
- P. Alias, “Error-free coding,” IEEE transaction on Information Theory, vol. 4, pp. 29-37, 1954.
Index Terms
Keywords