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Sustainable and Robust Techniques of Wireless Communications for Industry 4.0 : Towards Efficient PAPR Reduction Models


Affiliations
1 Department of ECE, RVR & JC college of Engineering, Guntur District 522 019, Andhra Pradesh, India
 

This work presents the concerns of reliable, comprehensive, and high-quality communication networks essential in wireless communications for Industry 4.0. These are considered critical requirements of wireless technology for Industry 4.0. For a reliable transmission of digital data over broadband widths and Giga Hertz channels, the corresponding Peak-to-Average-Power Ratio (PAPR) must be under control. Industry standards Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing With Offset Quadrature Amplitude Modulation (MIMO-OFDM/OQAM) system has been considered as the modulation technique with less Computational Complexity (CC). It usually produces phase sequence sets with different PAPR, a complex phenomenon to control. For robustness in PAPR control, the technique proposed has a receiver that initially restores the frequency domain rotation signal according to the sequence selection of the transmitter. Then it compares the distance between the reverse rotation sequence and the nearest constellation point to restore the original sequence. The proposed method simulation results can efficiently suppress the PAPR of MIMO-OFDM/OQAM signals. The proposed method is compared with the traditional Selective Mapping (SLM) algorithm. The proposed method reduces the CC, and can obtain the approximate Bit-Error Rate (BER) performance of the conventional SLM method when the sideband side information is known.

Keywords

Communication Networks, Cyclic Shift, MIMO-OFDM/OQAM, PAPR, SLM.
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  • Kumar V S, PAPR Reduction Method for MIMO-OFDM/OQAM System Based on SFBC Structure, Adv Intell Syst Comput (2021) 607–615.

  • Mouna S, Fatma A & Mohamed S, Efficient embedded signaling through Alamouti STBC precoders in MIMO-OFDM systems, IEEE Wirel Commun Netw Conf (WCNC) (IEEE) 2013, 4053-4058.

  • Tan M, Zoran L & Yeheskel B N, STBC MIMO-OFDM peak-to-average power ratio reduction by cross-antenna rotation and inversion, IEEE Commun Lett, 9(7) (2005) 592–594.

  • Suban A, Brintha R R, Gayathri M, Prabha R N, Comprehensive analysis of MIMO-OFDM with PAPR reduction using PTS (The most efficient way of communication), IEEE Students' Confn Electr Electron Comput Sci (2012).

  • Tao J, Chunxing Ni & Lili G, A novel phase offset SLM scheme for PAPR reduction in Alamouti MIMO-OFDM systems without side information, IEEE Signal Process Lett, 20(4) (2013) 383–386.

  • Su Y S, computationally efficient PAPR reduction of SFBC-OFDM signals by polyphase interleaving and inversion, Intl Symp Wirel Pers Multimed Commun (WPMC) 2014,

  • Ahmed A M & Erakkath A J, Adaptive modulation and interference cancellation techniques for MIMO-OFDM wireless networks, Int J Netw Virtual Organ, 18(3) (2018) 246–264.

  • Renfors M, Mestre X, Kofidis E & Bader F, MIMO-FBMC Receivers Orthogonal Waveforms and Filter Banks for Future Communication Systems (Academic Press) 2017, 375–406, https://doi.org/10.1016/C2015-0-06484-X

  • Nikita G & Ahuja A K, Performance evaluation and comparison study of OFDM in AWGN and colored noise environment, in Data Analytics and Management, vol 54, edited by A Khanna, D Gupta, Z Pólkowski, S Bhattacharyya & O Castillo (Springer Nature Singapore Pte Ltd ) 2021, 337–346.

  • Ouyang Y & Hungkai D, Peak-to-average power ratio reduction techniques for MIMO-OFDM systems with STBC/SFBC, IEEE Int Conf Commun Problem-Solving (ICCP) (IEEE) 2015.

  • Sandoval N & Francisco A, Peak to average power ratio reduction and error control in MIMO-OFDM HARQ System, Diss École de techno supérieure, (2019).

  • Li K, Sharan R R, Chen Y, Goldstein T, Cavallaro J R & Studer C, Decentralized baseband processing for massive MU-MIMO systems, IEEE J Emerg Sel Topics Power Electron, 7(4) (2017) 491–507.

  • Geng J, Encoding and decoding schemes for MIMO system combined with convolutional code, Appl Mech Mater, 716 (2015) 1234–1238.

  • Yang, J, Pingzhi F, Trung Q D & Lei X, Exact performance of two-way AF relaying in Nakagami-m fading environment, IEEE Trans Wirel Commun, 10(3) (2011) 980–987.

  • Alsharoa A, Ghazzai H, Kamal A E & Kadri A, Optimization of a power splitting protocol for two-way multiple energy harvesting relay system, IEEE Trans Green Commun Netw, 1(4) (2017) 444–457.

  • Zhou M, Cui Q, Jantti R & Tao, Energy-efficient relay selection and power allocation for two-way relay channel with analog network coding, IEEE Commun Lett, 16(6) (2012) 816–819.

  • Zhi-kang Z & Qi Z H U, Joint power allocation and multi-relay selection scheme based on system outage probability, J China Univ Posts Telecommun, 21(5) (2014) 9–16.

  • Sun Y, Ng D W K, Ding Z & Schober R, Optimal joint power and subcarrier allocation for full-duplex multicarrier non-orthogonal multiple access systems, IEEE Trans Commun, 65 (3) (2017) 1077–1091.

  • Gupta A, Singh K & Mathini S, Time-switching EH-based joint relay selection and resource allocation algorithms for multi-user multi-carrier AF relay networks, IEEE Trans Green Commun Netw, 3(2) (2019) 505–522.

  • Gupta A & Mathini S, End-to-end learning-based amplify-and-forward relay networks using autoencoders, IEEE Int Conf Commun (ICC) (IEEE) 07–11 June, 2020.

  • Matsumine T, Toshiaki K A & Ye W, Deep learning-based constellation optimization for physical network coding in two-way relay networks, IEEE Int Conf Commun (ICC) (IEEE) 20–24 May 2019.

  • Hassan M Z, Hossain M J, Cheng J & Leung V C, Joint FSO fronthaul and millimeter-wave access link optimization in cloud small cell networks: A statistical-QoS aware approach, IEEE Trans Commun, 67(6) (2019) 4208–4226.

  • Srivastava A & Rajeev R, Development of a fresh approach to use cooperative diversity for efficient & effective communication in modern wireless systems, Int J Eng Techol, 7(3) (2018) 430–433.

  • Shi L, Cheng W, Ye Y, Zhang H & Hu R Q, Heterogeneous power-splitting based two-way DF relaying with non-linear energy harvesting, IEEE Global Commun Conf (GLOBECOM) (2018), 1–7.

  • Yulong Z, Zhu J & Xiao J, Joint power splitting and relay selection in energy-harvesting communications for IoT networks, IEEE Internet Things J, 7(1) (2019) 584–597.

  • Amodu O A, Othman M, Noordin N K & Ahmad I, Relay-assisted D2D underlay cellular network analysis using stochastic geometry: Overview and future directions, IEEE Access 7 (2019) 115023–115051.

  • Shi H, Cai Y, Chen D, Hu J, Yang W & Yang W, Physical layer security in an untrusted energy harvesting relay network, IEEE Access, 7 (2019) 24819–24828.

  • Prathima A, Gurjar D S, Nguyen H H & Bhardwaj A, Performance analysis and optimization of bidirectional overlay cognitive radio networks with hybrid-SWIPT, IEEE Trans Veh Technol, 69(11) (2020) 13467–13481.

  • Singh K, Ankit G & Tharmalingam R, QoS-driven resource allocation and EE-balancing for multiuser two-way amplify-and-forward relay networks, IEEE Trans Wirel Commun, 16(5) (2017) 3189–3204.

  • Li X, Zhang Q, Zhang G & Qin J, Joint power allocation and subcarrier pairing for cooperative OFDM AF multi-relay networks, IEEE Commun Lett, 17(5) (2013) 872–875.


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  • Sustainable and Robust Techniques of Wireless Communications for Industry 4.0 : Towards Efficient PAPR Reduction Models

Abstract Views: 51  |  PDF Views: 41

Authors

Renuka Nellaturu
Department of ECE, RVR & JC college of Engineering, Guntur District 522 019, Andhra Pradesh, India

Abstract


This work presents the concerns of reliable, comprehensive, and high-quality communication networks essential in wireless communications for Industry 4.0. These are considered critical requirements of wireless technology for Industry 4.0. For a reliable transmission of digital data over broadband widths and Giga Hertz channels, the corresponding Peak-to-Average-Power Ratio (PAPR) must be under control. Industry standards Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing With Offset Quadrature Amplitude Modulation (MIMO-OFDM/OQAM) system has been considered as the modulation technique with less Computational Complexity (CC). It usually produces phase sequence sets with different PAPR, a complex phenomenon to control. For robustness in PAPR control, the technique proposed has a receiver that initially restores the frequency domain rotation signal according to the sequence selection of the transmitter. Then it compares the distance between the reverse rotation sequence and the nearest constellation point to restore the original sequence. The proposed method simulation results can efficiently suppress the PAPR of MIMO-OFDM/OQAM signals. The proposed method is compared with the traditional Selective Mapping (SLM) algorithm. The proposed method reduces the CC, and can obtain the approximate Bit-Error Rate (BER) performance of the conventional SLM method when the sideband side information is known.

Keywords


Communication Networks, Cyclic Shift, MIMO-OFDM/OQAM, PAPR, SLM.

References