Performance analysis of adaptive modulation and coding methods in the wireless telecommunication channels

Document Type : Original Article

Authors

1 Assistant Professor, Imam Hossein University (AS), Tehran, Iran

2 Master's degree, Imam Hossein University (AS), Tehran, Iran

Abstract

The need for high-speed data transfer on one hand and the limited resources available, (especially the lack of frequency spectrum) on the other hand, are the most important challenges facing G4-standard telecommunications networks, such as WiMAX, LTE and TD-SCDMA. Several methods have been devised to improve the spectral efficiency (SE). One of these methods is adaptive modulation and coding (AMC) in which the sender selects its modulation and coding scheme (MCS) based on the channel conditions with respect to the error probability limit of a certain set. In this paper, the performance of two AMC methods with the same modulation and coding design, one with the Moore state machine method and the other with the first-order finite state Markov chain method, is simulated and the optimal state is extracted. In each of these two methods, each state is represented by a pair of regular modulation and coding rates. The designs are QPSK, 16QAM and 64QAM modulations and block codes with the rates of 1/2, 2/3 and 3/4. In the Moore -adaptive method, the modulation and coding scheme is adapted based on the average attenuation coefficient of the channel, and in the Markov-adaptive method, it is done based on the signal-to-noise ratio (SNR) of the average channel. The simulation results show that the spectral efficiency of the Moore method in comparison to the Markov-adaptive method is improved by 31.6% in the signal-to-noise ratio (SNR) range of 9 to 13.35 dB and by 7.9% in the SNR range of 13.35 to 18.6 dB, whilst in the SNR range of 18.6 to 22 decibels, the Markov method shows 52.1% spectral efficiency improvement over the Moore-adaptive method.

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References

[1]   A. Hamidane and D. Berkani, “Performance Analysis of NLMS Channel Estimation for AMC-COFDM System,” Adv. Sci. Technol. Eng. Syst. J., no. 2, vol. 3, pp. 190–194, Mar. 2018.
[2]   W. Jiao, H. Ding, H. Wu, and G. Yu, “Spectrum Efficiency of Jointing Adaptive Modulation Coding and Truncated ARQ with QoS Constraints,” IEEE Access, vol. 6, pp. 46915–46925, 2018.
[3]   S. G. Temalow, E. Mwangi, and K. Langat, “Neuro-fuzzy based adaptive coding and modulation for performance improvement in OFDM wireless systems,” Int. J. Appl. Eng. Res., no. 20, vol. 12, pp. 9357–9366, 2017.
[4]   K. G. Shanthi and A. Manikandan, “An Improved Adaptive Modulation and Coding for Cross Layer Design in Wireless Networks,” Wirel. Pers. Commun., no. 2, vol. 108, pp. 1009–1020, Sep. 2019.
[5]   R. Zeng, T. Liu, X. Yu, and Z. Zhang, “Novel Channel Quality Indicator Prediction Scheme for Adaptive Modulation and Coding in High Mobility Environments,” IEEE Access, vol. 7, pp. 11543–11553, 2019.
[6]   J. Zhang, S. Chen, R. G. Maunder, R. Zhang, and L. Hanzo, “Adaptive Coding and Modulation for Large-Scale Antenna Array-Based Aeronautical Communications in the Presence of Co-Channel Interference,” IEEE Trans. Wirel. Commun., no. 2, vol. 17, pp. 1343–1357, Feb. 2018.
[7]   J. Francis and N. B. Mehta, “EESM-based link adaptation in OFDM: Modeling and analysis,” in GLOBECOM - IEEE Global Telecommunications Conference, 2013, no. 1, vol. 13, pp. 3703–3708.
[8]   J. Meng, E.-H. Yang, and E. h. Yang, “Constellation and rate selection in adaptive modulation and coding based on finite blocklength analysis,” IEEE Wirel. Commun. Netw, no. 10, vol. 13, pp. 4065–4070, 2013.
[9]   R. C. Daniels, C. M. Caramanis, and R. W. Heath, “Adaptation in convolutionally coded MIMO-OFDM wireless systems through supervised learning and SNR ordering,” IEEE Trans. Veh. Technol., no. 1, vol. 59, pp. 114–126, 2010.
[10] R. Fantacci, D. Marabissi, D. Tarchi, and I. Habib, “Adaptive modulation and coding techniques for OFDMA systems,” IEEE Trans. Wirel. Commun., no. 9, vol. 8, pp. 4876–4883, Sep. 2009.

[11] J. She, J. Mei, J. Ho, P.-H. Ho, and H. Ji, “Layered Adaptive Modulation and Coding for 4G Wireless Networks,” IEEE Global Telecommunications Conference GLOBECOM, 2010, pp. 1–6.
[12]  S. C. K. Lye, S. E. Tan, Z. W. Siew, H. T. Yew, and K. T. K. Teo, “Analysis and performance measurement of adaptive modulation and coding,” IEEE International Conference on Control System, Computing and Engineering, 2012, pp. 268–273.
Electronic and Cyber Defense
Volume 10, Issue 1 - Serial Number 37
Serial No. 37, Spring Quarterly
May 2022
Pages 99-108

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History

  • Receive Date: 23 May 2021
  • Revise Date: 14 August 2021
  • Accept Date: 13 December 2021
  • Publish Date: 22 May 2022

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