Engineering & Technology

Engineering & Technology

GFDM and UFMC Modulation Techniques under dispersive wireless channels for Cognitive Radio-A Technical Review

Pages: 09  ,  Volume: 16  ,  Issue: 1 , November   2018
Received: 15 Nov 2018  ,  Published: 22 November 2018
Views: 51  ,  Download: 0

Authors

# Author Name
1 Dr.A.S.Kang
2 Vishal Sharma
3 Manisha Gupta

Abstract

Day by day wireless users are increasing. So to increase the efficiency of system, we rely on Cognitive radio. It detects unused channel and sends the data through that channel. Here  multicarrier modulation techniques like Generalised Frequency Division Multiplexing and Universal Filtered Multicarrier play an important role as these techniques are non-orthogonal multicarrier schemes used for sending information with low latency and higher efficiency. In this paper,a technical review on both GFDM and UFMC candidate waveforms for 5G  has been given under wireless dispersive channels for cognitive radio. These use digital multicarrier transceiver concept which employs filters for pulse shaping so as to maintain control over transmitted signal’s spectral properties. The advanced LTE system provides standard compliant functions for design, simulation and verification of advanced communication systems. Cognitive radio is the intelligence that guides Software defined radio to choose the mode of operation and vital parameters mainly frequency, modulation, bandwidth and power. The main aim of opportunistic cognitive radio is the modification of said parameters depending upon the radio frequency environment, user situation and demands of network etc .

Keywords

  • Cognitive radio
  • GFDM
  • UFMC
  • Multicarrier
  • References

    [1]K. Arshad, M. A. Imran, and K. Moessner, “Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks,” International Journal of Digital Multimedia Broadcasting, vol. 2010, pp. 1–20, 2010.

    [2] R. Datta ,N. Michailow, M. Lentmaier,and G. Fettweis, “GFDM Interference Cancellation for Flexible CognitiveRadio PHY Design,” inVehicularTechnologyConference,2012.VTC Fall 2012.IEEE76th,Sept2012.pp.1-6.

    [3] J. Mitola, “Cognitive Radio: An Integrated Agent Architecture for Software De?ned Radio,” 2000.pp.1-313.

    [4] N. Michailow, M. Lentmaier, P. Rost, and G. Fettweis, “Integration of a GFDM Secondary System in an OFDM Primary System,” in Future Network Summit, 2011, June 2011.pp.1-8.

    [5] T.Ihalainen,A.Viholainen,and M.Renfors, “On Spectrally Efficient Multiplexing in Cognitive Radio Systems,” 3rd Int. Symp. Wireless Pervasive Computing ISWPC,2008.pp.675-679.

    [6] R. Datta ,N. Michailow, M. Lentmaier,and G. Fettweis, “Analysis of Spectrum Sensing Characteristics for Cognitive Radio GFDM Signal” in IEEE publication,2012.pp.356-359.

    [7] W.Hong, Z.Zhaoyang, Z.Yu and W.Chao,”Universal filtered multi-carrier transmission with active interference cancellation” in IEEE international conference,2015.pp.2554-2567.

    [8] R. Datta, G. Fettweis, Z. Kollar, and P. Horvath, “FBMC and GFDM Interference Cancellation Schemes for Flexible Digital Radio PHY Design,” in 14th EUROMICRO Conference (Euromicro’11), 2011. W.Mengting,D.Jiang,Z.Zalchen and W.Liang, “An Advanced Receiver for Universal Filtered Multicarrier”, in IEEE publication, 2018.pp.335-339.

    [9]G.Fettweis, M.Krondrof, S.Bittner,”GFDM generalized frequency division multiplexing”, Proc. Veh. Technol. Conf (VTC), 2009.pp.1-4.

    [10] C.H. Hwang, G.L Lai, and S.-C. Chen, “Spectrum Sensing in Wideband OFDM Cognitive Radios,” IEEE Transactions on Signal Processing, vol. 58, no. 2, pp. 709 –719, Feb. 2010.

    [11] Z.Zhaoyang, W.Hong, Y.Guanding, Z.Yu, W.Xianbin, “Universal Filtered Multi-Carrier Transmission With Adaptive Active Interference Cancellation” in IEEE magazine 2017.pp.1-14.

    [12] Z.Lei,X.Pei , Q. Atta,” Cyclic Prefix-Based Universal Filtered Multicarrier System and Performance Analysis” in IEEE publication,2016.pp.1197-1201.

    [13] R.J.Atif , M.Javaria, A.S.Muhammad, A.I.Muhammad et.al “Hardware Complexity Reduction in Universal Filtered Multicarrier Transmitter Implementation” in IEEE publication,2017. Pp.13401-13408.

    [14] W.Mengting,D.Jiang,Z.Zalchen and W.Liang, “An Advanced Receiver for Universal Filtered Multicarrier”, in IEEE publication, 2018.pp.7779-7783.

    [15]G.Wunder et al.," 5GNOW: Non-orthogonal asynchronous waveforms for future mobile applications”, IEEE commun.mag., vol. 52,  2014,pp.97-105.

    [16] F.Schaich, T.Wild, “Waveform contenders for 5G-OFDM vs FBMC vs UFMC”, Proc.Int. Symp. Commun. Control Signal Process.(ISCCSP),2014,pp.457-460.

    [17]T.Wild, F.Schaich, Y.Chen,” 5G air interface design based on universal filtered (UF-OFDM)”, Proc. Int.Conf. Digital Signal Process.(DSP), 2014,pp.699-704.

    [18]C.Xiao, D.Liang, W.Liang, Z.Zalchen and W.Jiangzhou,”Adaptive Modulation and Filter Configuration in Universal Filtered Multi-Carrier Systems” in IEEE publication,2017,pp.1869-1881.

    [19] M.Bellnger,”Physical layer for future broadband radio systems”,Proc.IEEE Radio Wireless Symp.2010,pp.436-439.

    [20] Lu.Zhang, S.Xiao, M. Bi, L.Liu, X. Chen,” FFT-based universal filtered multicarrier technology for low overhead and agile data center interconnect”, Proc. Int. Conf. Transparent Opt. Netw., 2016,pp.1-4.

    [21] X.Wang, T.Wild, F.Schaich, A.F.dos Santos,“Universal filtered multicarrier with leakage based filter optimization”, Proc. Eur. Wireless Conf., 2014,pp.963-967.

    [22] S.Geng, X.Xiong, L.Cheng, X.Zhao,B.Huang,“UFMC system performance analysis for discrete narrow band private networks”, Proc. Int. Symp. Microw. Antenna Propag. EMC Technol., 2015,pp.303-307.

    [23]A.S.Kang, Vishal Sharma, Renu Vig (2017),“Performance Evaluation of  Prototype  FBMC Cognitive  Radio under constraints of L number of Sensing Samples at Variable SNR for AWGN and Rayleigh fading Environment,” International Journal of Advanced Science & Technology, SERSC Australia,Vol.107,Oct 2017,pp.1-20.ISSN:2005-4238 IJAST.

    [24]A.S.Kang,Renu Vig (2017),”Design & Implementation of Efficient Analysis and Synthesis QMF Bank for Multicarrier Cognitive Radio Communication” Telkomnika-Telecommunication, Computing, Electronics & Control ,Indonesia,Vol.15,No.2.June2017,pp.636-645.DOI:10.12928/TELKOMNIKA.v15i2.4746,ISSN:1693-6960.

    [25]A.S.Kang, Renu Vig (2016),”Performance Analysis of FBMC-CR through Optimization –Tradeoff between Various Performance Parameters in the Cognitive Radio Environment”Vol.63,Telecommunication Systems, Springer{SCIE Indexed].23 pages. ISSN: 1018-4864 (Print) 1572-9451 (Online)

    [26]A.S. Kang, Renu Vig (2016),”Comparatative Performance Evaluation of Modified Prototype Filter Bank Multi Carrier Cognitive Radio under Constraints of Lp, K,N and D,”The Computer Journal,Oxford University Press,UK,Vol.59(3),February Issue,pp.1-13.

    [27]A.S.Kang and Renu Vig(2015), “Computer Aided BER Performance Analysis of FBMC Cognitive Radio for Physical Layer under the Effect of Binary Symmetric Radio Fading Channel,”SPRINGER Journal of Wireless Personal Communications,NETHERLANDS,Vol.81(2),2015,pages.15.

    [28] Schaich, F., Wild, T., Chen, Y., "Waveform Contenders for 5G - Suitability for Short Packet and Low Latency Transmissions", Vehicular Technology Conference, pp. 1-5, 2014.

    [29]Wild, T., Schaich, F., Chen Y., "5G air interface design based on Universal Filtered (UF-)OFDM ", Proc. of 19th International Conf. on Digital Signal Processing, pp. 699-704, 2014.

    [30]A.S.Kang,Vishal Sharma, Renu Vig (2017),“Performance Evaluation of OFDM and Prototype FBMC-OQAM Cognitive Radio under constraints of variable Overlapping factors,” International Journal of Engineering Research & Development,Vol.13(9),pp.71-91. e-ISSN: 2278-067X, p-ISSN: 2278-800X.