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The Effect of Feedback Delay on the Performance of Closed-Loop Rotate Modulations on OFDM/OFDMA Systems

Budi Prasetya(1*), Adit Kurniawan(2), Iskandar Iskandar(3), Arfianto Fahmi(4)

(1) School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
(2) School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
(3) School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
(4) School of Electrical Engineering, Telkom University, Indonesia
(*) Corresponding author



In this paper, in order to improve the performance of the OFDM/OFDMA system, novel closed-loop rotate modulation is proposed by utilizing feedback channel state information in the complex values. The basic idea of the proposed rotate modulation is the channel equalizer process, which is applied at the transmitter side; therefore, it does not need to insert guard time to anticipate the problem of channel delay spread. With the purpose of distortionless-transmission, in this paper, the rotate modulation equation has been derivated. Based on the simulation results on this proposed system, when the feedback delay has been zero, the resulting system performance has been similar to the one on the Additive White Gaussian Noise channel. In this ideal condition, the received signal has been similar to the transmitted signal although in real condition the process of transmitting the feedback signal will always result in a delay. Simulation results at low-level modulation such as Binary Phase Shift Keying and Quarternary Phase Shift Keying; the system bit error ratio performance has not shown degradation with the feedback delay. However, for higher level modulation such as 16-Quadrature Amplitude Modulation and 64-Quadrature Amplitude Modulation, the feedback delay has caused degradation on the BER curve.
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Delay Feedback; Closed-Loop Rotate Modulation; OFDM/OFDMA; Complex Values Channel

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H. Zhu and J. Wang, Performance analysis of chunk-based resource allocation in multi-cell OFDMA systems, IEEE J. Sel. Areas Commun., vol. 32, no. 2, pp. 367–375, 2014.

W. Lee, Resource Allocation for Multi-Channel Underlay Cognitive Radio Network Based on Deep Neural Network, IEEE Commun. Lett., vol. 22, no. 9, pp. 1942–1945, 2018.

Y. Kai, J. Wang, H. Zhu, and J. Wang, Resource Allocation and Performance Analysis of Cellular-Assisted OFDMA Device-to-Device Communications, IEEE Trans. Wirel. Commun., vol. 18, no. 1, pp. 416–431, 2019.

Y. Yang, Q. Zhang, Y. Wang, T. Emoto, M. Akutagawa, and S. Konaka, Adaptive resources allocation algorithm based on modified PSO for cognitive radio system, China Commun., vol. 16, no. 5, pp. 83–92, 2019.

Sulthana, S., Performance Analysis of Scheduling with Combined Unicast and Multicast Services in Downlink LTE System, (2020) International Journal on Communications Antenna and Propagation (IRECAP), 10 (1), pp. 24-30.

Pyla, S., Padma Raju, K., Balasubrahmanyam, N., Performance Analysis of OFDM System Using Pilots, Coding Bounds and MAP Decoder for Next Generation Applications, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (5), pp. 364-369.

Okoyeigbo, O., Okokpujie, K., Noma-Osaghae, E., Ndujiuba, C., Shobayo, O., Jeremiah, A., Comparative Study of MIMO-OFDM Channel Estimation in Wireless Systems, (2018) International Review on Modelling and Simulations (IREMOS), 11 (3), pp. 158-165.

Nisirat, M., Quasi Orthogonal Space Time Block Code Over Nakagami-m Frequency Selective Fading Channels with Simple Decoding Complexity, (2020) International Journal on Communications Antenna and Propagation (IRECAP), 10 (1), pp. 16-23.

Laraki, M., Hayar, A., Proposed Mathematical Lighting Model Based on OFDM Technique and Self-Lighting Concept for a Smart Lighting, (2018) International Review of Automatic Control (IREACO), 11 (2), pp. 77-85.

Laraki, M., Hayar, A., New Mathematical Model Based on OFDM Technique for Smart Lighting Systems in Smart City, (2018) International Review of Electrical Engineering (IREE), 13 (3), pp. 213-228.

Al-Adwany, M., Yahya, H., Thanoon, M., Hamdoon, H., Saadallah, N., Hamed, A., Simulation and Hardware Implementation of DC-Biased Optical OFDM (DCO-OFDM) for Visible Light Communications, (2020) International Review on Modelling and Simulations (IREMOS), 13 (2), pp. 108-117.

S. Ozyurt, O. Kucur, and I. Altunbas, Performance of Rotated Phase Shift Keying Modulation over Ricean Fading Channels, in 2nd International Symposium on Wireless Communication Systems, 2005, pp. 195–199.

S. P. Herath, N. H. Tran, and T. Le-Ngoc, Rotated Multi-D Constellations in Rayleigh Fading : Mutual Information Improvement and Pragmatic Approach for Near-Capacity Performance in High-Rate Regions, IEEE Transsaction Commun., vol. 60, no. 12, pp. 3694–3704, 2012.

W. Zhanji, P. Mugen, and W. Wenbo, Improved coding-rotated-modulation orthogonal frequency division multiplexing system, IET Commun., vol. 6, no. 3, pp. 272–280, 2012.

F. Yang, B. Zhang, and L. Ding, Low-complexity iterative demapping for rotated QAM constellations in DVB-T2 system, in 2013 International Conference on Computing, Networking and Communications (ICNC), 2013, pp. 424-424.

Rekkal, K., Abdesselam, B., Improving the Performance of Trellis Coded Modulation Over Rayleigh Fading Channel Using Locally Rotated Constellations, (2018) International Journal on Communications Antenna and Propagation (IRECAP), 8 (1), pp. 71-80.

B. Prasetya, A. Kurniawan, - Iskandar, and A. Fahmi, Joint Power Loading and Phase Shifting on Signal Constellation for Transmit Power Saving on OFDM/OFDMA Systems, Int. J. Adv. Sci. Eng. Inf. Technol. (IJASEIT), vol. 8, no. 5, p. 2039, Oct. 2018.

B. Prasetya, A. Kurniawan, A. Fahmi, and Iskandar, Performance Improvement on 64 -QAM Multicarrier with Closed-Loop Rotate Modulation, in The 2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC), 2018, vol. 1, pp. 12–17.

A. Kurniawan, Predictive Power Control in CDMA Systems, University of South Australia, 2003.

S. Haykin, Communication Systems, 4th ed. New York: John Wiley & Sons, Inc, 2001.

S. Salivahanan, A. Vallavaraj, and C. Gnanapriya, Digital Signal Processing. Singapore: MCGraw-Hill, 2001.

S. H. Jamali and T. Le Ngoc, Coded-Modulation Techniques for Fading Channels. Boston: Springer, Boston, MA: Kluwer Academic Publishers, 1994.

T. S. Rappaport, Wireless Communications: Principles and Practice, 2nd ed. Upper Saddle River, United States: Prentice Hall, 2002.


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