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Analysis of Multi Carrier Modulation Techniques for 5G Physical Layer Communications Estimation of KPI


Affiliations
1 ECE Department, University College of Engineering, JNTUK, Kakinada 533 003, India
2 Department of ECE, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam 530 048, India
 

The more enchanting Multicarrier Communication (MCM) techniques like Fifth Generation (5G), Long Term Evolution (LTE) and Fourth Generation (4G) are the enhancing techniques that contribute the progress of wireless communication systems. The most effective way to save resources in 5G is to make efficient use of all existing discontinuous spectrums, which maximizes Spectrum Efficiency (SE). A valid comparison of many 5G MCM techniques is made in this work, namely Universal Filter Multi Carrier (UFMC), Filter Bank Multi Carrier (FBMC) and Orthogonal Frequency Division Modulation (OFDM). Various Key Performance Indicators (KPI) such as Bit Error Ratio (BER), Signal to Interference Ratio (SIR), Power Spectral Density (PSD) and ratio between Peak Power and Average Power, Throughput, and Spectral Efficiency (SE) are evaluated and compared under various realistic channels. UFMC Modulation technique is compatible with existing channel estimation and detection techniques and further improves SE. The SE of FBMC has been improved by 2% with Hermite filter when compared to PHYSDAS, RRC prototype filters. It has been observed that FBMC offered better SIR, Throughput, also a complex design of filter reduced BER and PAPR.

Keywords

BER, Power Spectral Density, Prototype Filter, SIR, Spectral Efficiency.
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  • Thompson J, Xiaohu G, Wu H C, Irmer R, Jiang H, Fettweis G & Alamouti S, 5G wireless communication systems: Prospects and challenges, IEEE Commun Mag, 52(2) (2014) 62–64, https://doi.org/10.1109/MCOM. 2014.6736744.
  • Andrews J G, Buzzi S, Choi W, Hanly S, Lozano A, Soong A C K & Zhang J C, What will 5G be?, IEEE J Sel Areas Commun, 32(6) (2014) 1065–1082, https://doi.org/10.48550/arXiv.1405.2957.
  • Kiss P, Reale A, Ferrari C J & Istenes Z, Deployment of IoT applications on 5G edge, IEEE Int Conf Future IoT Technologies (Future IoT), 2018, 1–9, https://doi.org/10.1109/FIOT.2018.8325595.
  • Baldemair R, Dahlman E, Fodor G, Mildh G, Parkvall S, Selen Y, Tullberg H & Balachandran K, Evolving wireless communications: Addressing the challenges and expectations of the future, IEEE Veh Technol Mag, 8(1) (2013) 24–30, https://doi.org/10.1109/MVT.2012.2234051.
  • Osseiran A, Boccardi F, Braun V, Kusume K, Marsch P, Maternia M, Queseth O, Schellmann M, Schotten H, Taoka H, Tullberg H, Mikko A, Uusitalo,Timus B & Fallgren M, Scenarioas for the 5G Mobile and Wireless Communications: The vision of the METIS Project, IEEE Comun, (2014) 26–35, http://dx.doi.org/10.1109/MCOM.2014.6815890.
  • Wunder G, Jung P, Kasparick M, Wild T, Schaich F, Chen Y, Ten Brink S, GasparI, Michailow N, Festag A & MendesL, 5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications, IEEE Commun Mag, 52(2) (2014) 97–105, http://dx.doi.org/10.1109/MCOM.2014.6736749.
  • Kundrapu S, Dutt V S, Koilada N K & Raavi A C, Characteristic analysis of OFDM FBMC and UFMC modulation schemes for next generation wireless communication network systems, 3rd Int Conf Electronics Commun Aerospace Technol (ICECA) 2019, 715–721, https://doi.org/10.1109/ICECA.2019.8821991.
  • Kansal P & Shankhwar A K, FBMC vs OFDM waveform contenders for 5G wireless communication system, Commun Technol, 8(4) (2017) 59–70.
  • Hammoodi A, Audah L & Taher M A, Green coexistence for 5G waveform candidates: a review, IEEE Access, 7 (2019) 10103–10126, https://doi.org/10.1109/ACCESS.2019.2891312.
  • Gomes R, Reis J, AlDaher Z, Hammoudeh A & Caldeirinha R F S, 5G: Performance and evaluation of FS‐FBMC against OFDM for high data rate applications at 60 GHz, IET Signal Process, 12(5) (2018) 620–628, https://doi.org/10.1049/iet-spr.2016.0671.
  • Ramadhan A J, Implementation of 5G FBMC PHYDYAS prototype filter, Int J Appl Eng Res, 12(23) (2017) 13476–13481
  • Prakash J A & Reddy G R, Efficient prototype filter design for filter bank multicarrier (FBMC) system based on ambiguity function analysis of hermite polynomials, Int Mutli Conf Automation Computing Communication Control and Compressed Sensing (iMac4s) 2013, 580–585, https://doi.org/10.1109/IMAC4S.2013.6526477.
  • AbdelAtty H M, Raslan W A & Khalil A T, Evaluation and analysis of FBMC/OQAM systems based on pulse shaping filters, IEEE Access, 8 (2020) 55750–55772, https://doi.org/10.1109/ACCESS.2020.2981744.
  • QiY & Tesanovic M, FQAM-FBMC design and its application to machine type communication, IEEE 27th Int Symp Personal Indoor Mobile Radio Commun (PIMRC) 2016, 1–6, https://doi.org/10.1109/PIMRC.2016. 7794588.
  • Zhang X, Chen L,Qiu J & Abdoli J, On the waveform for 5G, IEEE Commun Mag, 54(11) (2016) 74–80, https://doi.org/10.1109/MCOM.2016.1600337CM.
  • Chen D, Tian Y, Qu D & Jiang T, OQAM-OFDM for wireless communications in future Internet of Things: A survey on key technologies and challenges, IEEE Internet Things J, 5(5) (2018) 3788–3809, https://doi.org/10.1109/JIOT.2018.2869677.
  • Kim J, Park Y, Weon Y, Jeong J,Choi S & Hong D, A new filter-bank multicarrier system: The linearly processed FBMC system, IEEE Trans Wirel Commun 17(7) (2018) 4888–4898, https://doi.org/10.1109/TWC.2018.2832646.
  • Farhang B B, OFDM versus filter bank multicarrier, IEEE Signal Process Mag, 28(3) (2011) 92–112, https://doi.org/10.1109/MSP.2011.940267.
  • BellangerM, FS-FBMC: An alternative scheme for filter bank based multicarrier transmission, 5th IEEE Int Symp Commun Control Signal Process (IEEE) 2012, 1–4.
  • Dore J B, Berg V, Cassiaub N & Ktenas D, FBMC receiver for multi-user asynchronous transmission on fragmented spectrum, Eurasip J Adv Signal Process, (1) (2014) 1–20.
  • Nam H, Choi M, Kim C, Hong D & Choi S, A new filter-bank multicarrier system for QAM signal transmission and reception, IEEE Int Conf Commun (ICC) 2014, 5227–5232, https://doi.org/10.1109/ICC.2014.6884151.
  • Bedoui A & Ettolba M, A comparative analysis of filter bank multicarrier (FBMC) as 5G multiplexing technique, Int Conf Wireless Netw Mobile Commun (WINCOM) 2017, 1–7, https://doi.org/10.1109/WINCOM.2017.8238200.
  • Wang X, WildT & Schaich F, Filter optimization for carrier frequency and timing-offset in universal filtered multi-carrier systems, IEEE Trans Veh Technol, 2015) 1-6, http://dx.doi.org/10.1109/VTCSpring.2015.7145842.
  • Wild T, Schaich F & Chen Y, 5G air interface design based on universal filtered (UF-) OFDM, 19th Int Conf Digital Signal Process (IEEE)August 20–23, 2014, http://dx.doi.org/10.1109/ICDSP.2014.6900754.
  • Wen J, Hua J, Lu W, Zhang Y & Wang D, Design of waveform shaping filter in the UFMC system, IEEE Access, 6 (2018) 32300–32309, https://doi.org/10.1109/ACCESS.2018.2837693.
  • Hoydis J, Aoudia F A, Valcarce A & Viswanathan H, Toward a 6G AI-native air interface, IEEE Commun Mag 59(5) (2021) 76–81, https://doi.org/10.1109/MCOM.001.2001187.
  • Cho Y S, Kim J, Yang W Y & Kang C G, MIMO-OFDM Wireless Communications with MATLAB (Wiley Publisher) 2010, 241–246.
  • Aminjavaheri A, Farhang A, Rezazadeh Reyhani A & Farhang Boroujeny B, Impact of timing and frequency offsets on multicarrier waveform candidates for 5G, IEEE Signal Process Signal Process Educat Workshop (SP/SPE), (2015) 178–183, https://doi.org/10.1109/DSP-SPE.2015. 7369549
  • Na D & Choi K, DFT Spreading-based Low PAPR FBMC with embedded side information, IEEE Trans Wirel Commun 17(1) (2017) 182–193, http://dx.doi.org/10.1109/TCOMM.2019.2918526.
  • 3rd Generation Partnership Project; Technical Specification Group Radio Access Network, Study on LTE-based V2X Services (Release 14), 3GPP TR 36.885 V2.0.0, (2016)

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  • Analysis of Multi Carrier Modulation Techniques for 5G Physical Layer Communications Estimation of KPI

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Authors

T Padmavathi
ECE Department, University College of Engineering, JNTUK, Kakinada 533 003, India
Kusma Kumari Cheepurupalli
Department of ECE, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam 530 048, India
R Madhu
ECE Department, University College of Engineering, JNTUK, Kakinada 533 003, India

Abstract


The more enchanting Multicarrier Communication (MCM) techniques like Fifth Generation (5G), Long Term Evolution (LTE) and Fourth Generation (4G) are the enhancing techniques that contribute the progress of wireless communication systems. The most effective way to save resources in 5G is to make efficient use of all existing discontinuous spectrums, which maximizes Spectrum Efficiency (SE). A valid comparison of many 5G MCM techniques is made in this work, namely Universal Filter Multi Carrier (UFMC), Filter Bank Multi Carrier (FBMC) and Orthogonal Frequency Division Modulation (OFDM). Various Key Performance Indicators (KPI) such as Bit Error Ratio (BER), Signal to Interference Ratio (SIR), Power Spectral Density (PSD) and ratio between Peak Power and Average Power, Throughput, and Spectral Efficiency (SE) are evaluated and compared under various realistic channels. UFMC Modulation technique is compatible with existing channel estimation and detection techniques and further improves SE. The SE of FBMC has been improved by 2% with Hermite filter when compared to PHYSDAS, RRC prototype filters. It has been observed that FBMC offered better SIR, Throughput, also a complex design of filter reduced BER and PAPR.

Keywords


BER, Power Spectral Density, Prototype Filter, SIR, Spectral Efficiency.

References