Volume 8, Issue 1, June 2019, Page: 32-46
Adaptive OFDM-IM System Over Faded Shadowing Channel
Ibrahim Mokhtar Aboharba, Department of Electrical and Computer Engineering, Western University, London, Canada
Quazi Mehbubar Rahman, Department of Electrical and Computer Engineering, Western University, London, Canada
Raveendra Rao, Department of Electrical and Computer Engineering, Western University, London, Canada
Received: Apr. 25, 2019;       Accepted: May 30, 2019;       Published: Jul. 17, 2019
DOI: 10.11648/j.ajnc.20190801.14      View  125      Downloads  15
Abstract
Spectral efficiency (SE) and energy efficiency (EE) play major roles in evaluating the quality of service (QoS) of a wireless communication system. Designing an efficient wireless communication system requires trade-off between these two parameters. Orthogonal frequency division multiplexing technique with Index Modulation (OFDM-IM) has been introduced in the literature to increase the SE compared to traditional OFDM. In this paper, an adaptive technique with OFDM-IM is introduced in an M-QAM based scheme to maintain a guaranteed level of average bit error probability (ABEP) with enhanced SE. It has been demonstrated that by adaptively varying the number of active subcarriers and modulation levels in M-QAM scheme, maximum EE can also be achieved for an acceptable ABEP. The closed-form expressions of ABEP and pairwise error probability (PEP) for OFDM-IM with M-ary QAM modulation are derived and examined over the composite Nakagami-m Gamma (NG) fading channel model using greedy detection (GD). In addition, the performance of adaptive OFDM-IM with M-QAM Modulation scheme is evaluated in terms of efficiency metrics, outage probability, and ABEP. The obtained results show that the adaptive scheme offers high potential for accomplishing significant improvement in SE and EE while maintaining acceptable ABEP even under severe channel impairment.
Keywords
Orthogonal Frequency Division Multiplexing (OFDM), Index Modulation (IM), Pairwise Error Probability (PEP), Adaptive Modulation
To cite this article
Ibrahim Mokhtar Aboharba, Quazi Mehbubar Rahman, Raveendra Rao, Adaptive OFDM-IM System Over Faded Shadowing Channel, American Journal of Networks and Communications. Vol. 8, No. 1, 2019, pp. 32-46. doi: 10.11648/j.ajnc.20190801.14
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
R. Abu-Alhiga and H. Haas, “Subcarrier-index modulation ofdm,” In Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on. IEEE, 2009, pp.
[2]
D. Tsonev, S. Sinanovic, and H. Haas, “Enhanced subcarrier index modulation (SIM) OFDM,” in GLOBECOM Workshops (GC Wkshps), 2011 IEEE. IEEE, 2011, pp. 728–732.
[3]
Başar, Ertuğrul, et al. "Orthogonal frequency division multiplexing with index modulation." IEEE Transactions on Signal Processing 61.22 (2013): 5536-5549.
[4]
R. Fan, Y. J. Yu, and Y. L. Guan, “Orthogonal frequency division multiplexing with generalized index modulation,” in Global Com¬munications Conference (GLOBECOM), 2014 IEEE. IEEE, 2014, pp. 3880–3885.
[5]
Y. Ko, “A tight upper bound on bit error rate of joint ofdm and multi-carrier index keying,” IEEE Communications Letters, vol. 18, no. 10, pp. 1763–1766, Oct 2014. M. Young, The Technical Writer's Handbook. Mill Valley, CA: University Science, 198.
[6]
J. Crawford and Y. Ko, “Low complexity greedy detection method with generalized multicarrier index keying ofdm,” in 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Aug 2015, pp. 688–693.
[7]
E. Chatziantoniou, J. Crawford, and Y. Ko, “Performance analysis of a low-complexity detector for mcik-ofdm over twdp fading,” IEEE Communications Letters, vol. 20, no. 6, p. Eleftherios, June 2016.
[8]
I. Aboharba, H. Boud, Q. M. Rahman, and R. K. Rao, “Performance analysis of a low-complexity detection for OFDM Index Modulation over Nakagami-m fading,” in 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), April 2017, pp. 1–4.
[9]
I. Aboharba, H. Boud, Q. M. Rahman, and R. K. Rao, “On the performance of ofdm index modulation over nakagami fading channels,” in 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), April 2017, pp. 1–5.
[10]
M.-S. Alouini and A. J. Goldsmith, “Adaptive modulation over nakagami fading channels,” Wireless Personal Communications, vol. 13, no. 1-2, pp. 119–143, 2000.
[11]
Simon, Marvin K., and Mohamed-Slim Alouini. “Digital communication over fading channels,” Vol. 95. John Wiley & Sons, 2005.
[12]
Shankar, P. M. "A Nakagami-N-gamma model for shadowed fading channels." Wireless Personal Communications 64.4 (2012): 665-680. 353–355, 2006.
[13]
Shankar, P. Mohana. “Fading and shadowing in wireless systems,” Springer, 2017.
[14]
Gradshteyn, Izrail Solomonovich, and Iosif Moiseevich Ryzhik. “Table of integrals, series, and products,” Academic press, 2014.
[15]
Kostić, I. M. "Analytical approach to performance analysis for channel subject to shadowing and fading." IEE Proceedings-Communications 152.6 (2005): 821-827.
[16]
Hamed, M. Alsharef, and R. K. Rao, “Analysis of energy and spectral efficiency in urban shadowing environment.” IAENG International Journal of Computer Science, vol. 43, no. 2, 2016.
[17]
V. Rodoplu and T. H. Meng, “Bits-per-joule capacity of energy-limited wireless networks,” IEEE Transactions on Wireless Communications, vol. 6, no. 3, 2007.
[18]
L. Zhao, J. Cai, and H. Zhang, “Radio-efficient adaptive modulation and coding: Green communication perspective,” in Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd. IEEE, 2011, pp. 1–5.
[19]
A. M. Hamed, A. Noorwali, and R. K. Rao, “Energy efficient adaptive transmission in generalized-k fading channel,” in 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), May 2016, pp. 1–5.
[20]
D. R. Iskander and A. M. Zoubir, “Estimation of the parameters of the k-distribution using higher order and fractional moments [radar clutter],” IEEE Transactions on Aerospace and Electronic Systems, vol. 35, no. 4, pp. 1453–1457, 1999.
Browse journals by subject