Increasing Spectral Efficiency of GFDM with Adaptive Modulation and Coding for Next Generation Cellular Networks
Subject Areas :
Majlesi Journal of Telecommunication Devices
Farzaneh Kheirali
1
,
Mohammad Hossein Madani
2
1 - Faculty of Electrical Engineering/Department of Telecommunication, Malek-Ashtar University, Tehran, Iran
2 - Faculty of Electrical Engineering/Department of Telecommunication, Malek-Ashtar University, Tehran, Iran
Received: 2023-01-04
Accepted : 2023-02-27
Published : 2023-03-01
Keywords:
Spectral efficiency,
GFDM,
Convolutional Coding,
Next Generation Cellular Network,
AMC,
Abstract :
As a result of resource constraints in each generation of wireless systems, new technologies should be used in order to obtain maximum system efficiency. The combination of Adaptive Modulation and Coding (AMC) with Generalized Frequency Division Multiplexing (GFDM) is a promising technique which efficiently optimizes the data rate, increases the capacity and reduces Bit Error Rate (BER) of the systems, which are primary goals of each generation of wireless networks. In paper, we primarily analyze multicarrier GFDM performance based on adaptive modulation using a discrete rate, then examine a variable power transmission scheme and finally find the form of rate and power which maximizes the spectral efficiency. The results show that significant improvement in terms of spectral efficiency and BER can be achieved demonstrating the superiority of the proposed AMC scheme in comparison with nonadaptive transmission schemes. Therefore, the presented system can be used in next generation cellular networks with higher capacity.
References:
[1] K. Sharma, I. Woungang, A. Anpalagan, S. Chatzinotas, “Toward tactile internet in beyond 5G era: recent advances, current issues, and future directions,” IEEE Access vol. 12, no. 8, pp.56948-56991, Mar 2020.
[2] Prasad and V. Rohokale, V, “Internet of Things (IoT) and machine to machine (M2M) communication. In Cyber security: The lifeline of information and communication technology,” Springer, Cham, pp. 125-141, 2020.
[3] Hossain, D. Niyato, and Z. Han, “Dynamic spectrum access and management in cognitive radio networks, ” Cambridge university press, Jun 2009.
[4] HF Wang, FB Ueng, YS Shen, KX Lin, “Low‐complexity receivers for massive MIMO‐GFDM communications,” Transactions on Emerging Telecommunications Technologies 32, no. 4, pp. 4219 Apr, 2021.
[5] MN Patwary, SJ Nawaz, MA Rahman, SK Sharma, MM Rashid, SJ Barnes, “The potential short-and long-term disruptions and transformative impacts of 5G and beyond wireless networks: Lessons learnt from the development of a 5G testbed environment, ” IEEE Access, vol. 7, no. 8, pp. 11352-79, Jan 2020 .
[6] Başar, U. Aygölü, E. Panayırcı, HV, Poor, “Orthogonal frequency division multiplexing with index modulation,” IEEE Transactions on signal processing, vol. 61, no. 22, pp.5536-49, Aug. 2013.
[7] Mirahmadi, A. Al-Dweik, and A. Shami, “BER reduction of OFDM based broadband communication systems over multipath channels with impulsive noise,” EEE transactions on communications vol. 61, no. 11, pp.4602-4615, Nov. 2013.
[8] A. Fechtel and A. Blaickner, “Efficient FFT and equalizer implementation for OFDM receivers,” IEEE Transactions on Consumer Electronics vol. 45, no. 4, pp. 1104-1107, Nov. 1999.
[9] Kim, J. Kim, S. Yang, M. Hong, Y. Shin, and S. Briefs, “An effective MIMO–OFDM system for IEEE 802.22. WRAN channels,” IEEE Transactions on Circuits and Systems II: Express Briefs vol. 55, no. 8, pp. 821-825, Jun. 2008.
Wunder, P. Jung, M. Kasparick, T. Wild, F. Schaich Y. Chen, S. Ten Brink, I. Gaspar, N. Michailow, A. Festag, L. Mendes, “5G NOW: non-orthogonal, asynchronouswaveforms for future mobile applications,” IEEE Communications Magazine vol. 52, no. 2, pp. 97- 105, Feb. 2014.
Van De Beek and F. Berggren, “Out-of-band power suppression in OFDM,” IEEE communications letters, vol. 12, no. 9, pp. 609-611, Sep. 2008.
Hammoodi, L. Audah and M.A. Taher, “Green coexistence for 5G waveform candidates: a review,” IEEE Access, vol. 7, pp.10103-10126, Jan. 2019.
W. Chang, “Synthesis of band‐limited orthogonal signals for multichannel data transmission,” Bell system technical journal vol. 45, no. 10, pp. 1775-1796, Dec. 1966.
Fettweis, M. Krondorf, and S. Bittner, “GFDM-generalized frequency division multiplexing,” IEEE 69th Vehicular Technology Conference, pp. 1-4 Apr. 2009.
Datta, N. Michailow, M. Lentmaier, and G. Fettweis, “GFDM interference cancellation for flexible cognitive radio PHY design,” IEEE Vehicular Technology Conference (VTC Fall), pp. 1-5, Sep. 2012.
Michailow, I. Gaspar, S. Krone, M. Lentmaier, and G. Fettweis, “Generalized frequency division multiplexing: Analysis of an alternative multi-carrier technique for next generation cellular systems,” International symposium on wireless communication systems (ISWCS). IEEE pp. 171-175, Aug 2012.
Michailow, M. Maximilian, S. G. Ivan, N. C. Ainoa, L. M. Luciano, F. Andreas and F. Gerhard, “Generalized frequency division multiplexing for 5th generation cellular networks,” IEEE Transactions on Communications vol. 62, no. 9, pp. 3045- 3061, Aug. 2014.
Michailow, S. Krone, M. Lentmaier, and G. Fettweis, “Bit error rate performance of generalized frequency division multiplexing,” IEEE Vehicular Technology Conference (VTC Fall), pp. 1-5, Sep 2012.
Prokis, McGraw-Hill International, “Digital communications,” 2001.
T. Chung and A. J. Goldsmith, “Degrees of freedom in adaptive modulation: a unified view,” IEEE Transactions on Communications vol. 49, no. 9, pp. 1561-1571, Sep, 2001.