Main Article Content
Abstract
In modern scenarios, there are several applications of OFDM, but it also has some demerits like sensitive to Carrier Frequency Offset (CFO), high Peak to Average Power Ratio (PAPR), and timing offset large. Out Of Band (OOB) and low spectral efficiency due to cyclic prefix per symbol insertion. To diminish and discard above problems, new multiplexing technique is required for next generation wireless communication i.e. GFDM. GFDM is becoming popular day by day due to flexibility in pulse shape as well as single cyclic prefix in a multipath channel and which makes it eligible for the 5th generation technology. This paper deals with an overview of a GFDM and presents a comparative study between OFDM and GFDM.
Keywords
Wireless Communication
Peak to Average Power Ratio
OFDM
GFDM
Inter Symbol Interference
Inter Carrier Interference
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How to Cite
Kumar, A., & Santosh, S. (2018). GFDM FOR NEXT GENERATION WIRELESS COMMUNICATION SYSTEM. International Journal of Students’ Research in Technology & Management, 6(2), 60–69. https://doi.org/10.18510/ijsrtm.2018.629
References
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[1] A. K. Yadav, S. K. Das and S. Tripathi, “EFMMRP: Design of efficient fuzzy based multi-constraint multicast routing protocol for wireless ad-hoc network,†Computer Networks, 2017, vol. 118, pp. 15-23, https://doi.org/10.1016/j.comnet.2017.03.001.
[2] S. K. Das, A. K. Yadav and S. Tripathi, “IE2M: Design of intellectual energy efficient multicast routing protocol for ad-hoc network,†Peer-to-Peer Networking and Applications, 2016, vol. 10, no. 3, pp. 670-687, DOI 10.1007/s12083-016-0532-6.
[3] S. K. Das and S. Tripathi, “Intelligent energy-aware efficient routing for MANET,†Wireless Networks, 2016, vol. 24, no. 4, pp. 1572-8196, DOI 10.1007/s11276-016-1388-7.
[4] S. K. Das and S. Tripathi, “Energy Efficient Routing Protocol for MANET Using Vague Set,†in Proceedings of Fifth International Conference on Soft Computing for Problem Solving, Springer, 2016, pp. 235-245, DOI: 10.1007/978-981-10-0448-3_19.
[5] S. K. Das and S. Tripathi, “Energy efficient routing protocol for manet based on vague set measurement technique,†Procedia Computer Science, 2015, vol. 58, pp. 348-355, doi:10.1016/j.procs.2015.08.030.
[6] S. K. Das, S. Tripathi, and A. Burnwal, “Intelligent energy competency multipath routing in wanet,†in Information Systems Design and Intelligent Applications, Springer, 2015, pp. 535-543, DOI: 10.1007/978-81-322-2250-7_53.
[7] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “Ethics of reducing power consumption in wireless sensor networks using soft computing techniques,†International Journal of Advanced Computer Research, 2013, vol. 3, no. 1, pp. 301-304.
[8] S. K. Das, B. Das, and A. Burnwal, “Intelligent energy competency routing scheme for wireless sensor networksâ€, International Journal of Research in Computer Applications and Robotics, 2014, vol. 2, no. 3, pp. 79-84.
[9] S. K. Das, A. K. Yadav and S. Tripathi, “Energy efficient routing formation algorithm for hybrid ad-hoc network: A geometric programming approach,†Peer-to-Peer Networking and Applications, 2018, pp. 1-27, https://doi.org/10.1007/s12083-018-0643-3.
[10] S. K. Das and S. Tripathi, “Adaptive and intelligent energy efficient routing for transparent heterogeneous ad-hoc network by fusion of game theory and linear programming,†Applied Intelligence, 2017, pp. 1-21, https://doi.org/10.1007/s10489-017-1061-6.
[11] S. K. Das and S. Tripathi, “Energy efficient routing formation technique for hybrid ad hoc network using fusion of artificial intelligence techniques,†International Journal of Communication Systems, 2017, pp. 1-16, DOI: 10.1002/dac.3340.
[12] S. K. Das, S. Tripathi, and A. Burnwal, “Fuzzy based energy efficient multicast routing for ad-hoc network,†in Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, IEEE, 2015, pp. 1-5, DOI: 10.1109/C3IT.2015.7060126.
[13] S. K. Das, S. Tripathi, and A. Burnwal, “Design of fuzzy based intelligent energy efficient routing protocol for WANET,†in Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, IEEE, 2015, pp. 1-4, DOI: 10.1109/C3IT.2015.7060201.
[14] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “Ethics of E-Commerce in Information and Communications Technologies,†International Journal of Advanced Computer Research, 2013, vol. 3, no. 1, pp. 122-124, doi=10.1.1.300.9397.
[15] A. Burnwal, A. Kumar, and S. K. Das, “Survey on application of artificial intelligence techniques,†International Journal of Engineering Research & Management, 2014, vol. 1, no. 5, pp. 215-219.
[16] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “On soft computing techniques in various areas,†Computer Science & Information Technology (CS & IT), 2013, vol. 3, pp. 59-68, DOI : 10.5121/csit.2013.3206.
[17] S. K. Das, S. Tripathi, and A. Burnwal, “Some relevance fields of soft computing methodology,†International Journal of Research in Computer Applications and Robotics, 2014, vol. 2, pp. 1-6.
[18] A. Burnwal, A. Kumar, and S. K. Das, “Assessment of fuzzy set theory in different paradigm,†International Journal of Advanced Technology & Engineering Research, 2013, vol. 3, no. 3, pp. 16-22.
[19] A. Burnwal, A. Kumar, and S. K. Das, “Assessment of Mathematical Modeling in Different Areas,†International Journal of Advanced Technology & Engineering Research, 2013, vol. 3, no. 3, pp. 23-26.
[20] L. Cimini, “Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplex-ing,†IEEE transactions on communications, vol. 33, no. 7, pp. 665-675, 1985.
[21] B. Farhang-Boroujeny, “Ofdm versus filter bank multi-carrier,†IEEE signal processing magazine, vol. 28, no. 3, pp.92-112, 2011.
[22] S. Chen and J. Zhao, “The requirements, challenges, and technologies for 5g of terrestrial mobile telecommunica-tion,†IEEE Communications Magazine, vol. 52, no. 5, pp.36-43, 2014.
[23] J. Thompson, X. Ge, H.-C. Wu, R. Irmer, H. Jiang, G. Fettweis, and S. Alamouti, “5g wireless communica-tion systems: prospects and challenges [guest editorial],†IEEE Communications Magazine, vol. 52, no. 2, pp. 62- 64, 2014.
[24] Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM wireless communications with MATLAB. John Wiley & Sons, 2010.
[25] G. Fettweis, M. Krondorf, and S. Bittner, “Gfdm-generalized frequency division multiplexing,†in Vehic-ular Technology Conference, 2009. VTC Spring 2009. IEEE 69th, pp. 1-4, IEEE, 2009.
[26] R. Datta, N. Michailow, M. Lentmaier, and G. Fettweis, “Gfdm interference cancellation for flexible cognitive radio phy design,†in Vehicular Technology Conference (VTC Fall), 2012 IEEE, pp. 1-5, IEEE, 2012.
[27] R. Datta, N. Michailow, S. Krone, M. Lentmaier, andG. Fettweis, “Generalized frequency division multiplex-ing in cognitive radio,†in Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European, pp. 2679-2683, IEEE, 2012.
[28] N. Michailow, I. Gaspar, S. Krone, M. Lentmaier, andG.Fettweis, “Generalized frequency division multiplex-ing: Analysis of an alternative multi-carrier technique for next generation cellular systems,†in Wireless Communi-cation Systems (ISWCS), 2012 International Symposium on, pp. 171-175, IEEE, 2012.
[29] I. Gaspar, N. Michailow, A. Navarro, E. Ohlmer,S.Krone, and G. Fettweis, “Low complexity gfdm re-ceiver based on sparse frequency domain processing,†in Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th, pp. 1-6, IEEE, 2013.
[30] A. Farhang, N. Marchetti, and L. E. Doyle, “Low com-plexitygfdm receiver design: A new approach,†in Com-munications (ICC), 2015 IEEE International Conference on, pp. 4775-4780, IEEE, 2015.
[31] A. Farhang, N. Marchetti, and L. E. Doyle, “Low-complexity modem design for gfdm,†IEEE Trans. Sig-nal Processing, vol. 64, no. 6, pp. 1507-1518, 2016.
[32] N. Michailow, S. Krone, M. Lentmaier, and G. Fettweis, “Bit error rate performance of generalized frequency division multiplexing,†in Vehicular Technology Confer-ence (VTC Fall), 2012 IEEE, pp. 1-5, IEEE, 2012.
[33] M. Sameen, A. A. Khan, I. Ullah Khan, N. Azim,T.Zaidi, and N. Iqbal, “Comparative analysis of ofdm and gfdm,†IJACTA, vol. 4, no. 2, pp. 267-274, 2017.
References
[1] A. K. Yadav, S. K. Das and S. Tripathi, “EFMMRP: Design of efficient fuzzy based multi-constraint multicast routing protocol for wireless ad-hoc network,†Computer Networks, 2017, vol. 118, pp. 15-23, https://doi.org/10.1016/j.comnet.2017.03.001.
[2] S. K. Das, A. K. Yadav and S. Tripathi, “IE2M: Design of intellectual energy efficient multicast routing protocol for ad-hoc network,†Peer-to-Peer Networking and Applications, 2016, vol. 10, no. 3, pp. 670-687, DOI 10.1007/s12083-016-0532-6.
[3] S. K. Das and S. Tripathi, “Intelligent energy-aware efficient routing for MANET,†Wireless Networks, 2016, vol. 24, no. 4, pp. 1572-8196, DOI 10.1007/s11276-016-1388-7.
[4] S. K. Das and S. Tripathi, “Energy Efficient Routing Protocol for MANET Using Vague Set,†in Proceedings of Fifth International Conference on Soft Computing for Problem Solving, Springer, 2016, pp. 235-245, DOI: 10.1007/978-981-10-0448-3_19.
[5] S. K. Das and S. Tripathi, “Energy efficient routing protocol for manet based on vague set measurement technique,†Procedia Computer Science, 2015, vol. 58, pp. 348-355, doi:10.1016/j.procs.2015.08.030.
[6] S. K. Das, S. Tripathi, and A. Burnwal, “Intelligent energy competency multipath routing in wanet,†in Information Systems Design and Intelligent Applications, Springer, 2015, pp. 535-543, DOI: 10.1007/978-81-322-2250-7_53.
[7] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “Ethics of reducing power consumption in wireless sensor networks using soft computing techniques,†International Journal of Advanced Computer Research, 2013, vol. 3, no. 1, pp. 301-304.
[8] S. K. Das, B. Das, and A. Burnwal, “Intelligent energy competency routing scheme for wireless sensor networksâ€, International Journal of Research in Computer Applications and Robotics, 2014, vol. 2, no. 3, pp. 79-84.
[9] S. K. Das, A. K. Yadav and S. Tripathi, “Energy efficient routing formation algorithm for hybrid ad-hoc network: A geometric programming approach,†Peer-to-Peer Networking and Applications, 2018, pp. 1-27, https://doi.org/10.1007/s12083-018-0643-3.
[10] S. K. Das and S. Tripathi, “Adaptive and intelligent energy efficient routing for transparent heterogeneous ad-hoc network by fusion of game theory and linear programming,†Applied Intelligence, 2017, pp. 1-21, https://doi.org/10.1007/s10489-017-1061-6.
[11] S. K. Das and S. Tripathi, “Energy efficient routing formation technique for hybrid ad hoc network using fusion of artificial intelligence techniques,†International Journal of Communication Systems, 2017, pp. 1-16, DOI: 10.1002/dac.3340.
[12] S. K. Das, S. Tripathi, and A. Burnwal, “Fuzzy based energy efficient multicast routing for ad-hoc network,†in Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, IEEE, 2015, pp. 1-5, DOI: 10.1109/C3IT.2015.7060126.
[13] S. K. Das, S. Tripathi, and A. Burnwal, “Design of fuzzy based intelligent energy efficient routing protocol for WANET,†in Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, IEEE, 2015, pp. 1-4, DOI: 10.1109/C3IT.2015.7060201.
[14] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “Ethics of E-Commerce in Information and Communications Technologies,†International Journal of Advanced Computer Research, 2013, vol. 3, no. 1, pp. 122-124, doi=10.1.1.300.9397.
[15] A. Burnwal, A. Kumar, and S. K. Das, “Survey on application of artificial intelligence techniques,†International Journal of Engineering Research & Management, 2014, vol. 1, no. 5, pp. 215-219.
[16] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “On soft computing techniques in various areas,†Computer Science & Information Technology (CS & IT), 2013, vol. 3, pp. 59-68, DOI : 10.5121/csit.2013.3206.
[17] S. K. Das, S. Tripathi, and A. Burnwal, “Some relevance fields of soft computing methodology,†International Journal of Research in Computer Applications and Robotics, 2014, vol. 2, pp. 1-6.
[18] A. Burnwal, A. Kumar, and S. K. Das, “Assessment of fuzzy set theory in different paradigm,†International Journal of Advanced Technology & Engineering Research, 2013, vol. 3, no. 3, pp. 16-22.
[19] A. Burnwal, A. Kumar, and S. K. Das, “Assessment of Mathematical Modeling in Different Areas,†International Journal of Advanced Technology & Engineering Research, 2013, vol. 3, no. 3, pp. 23-26.
[20] L. Cimini, “Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplex-ing,†IEEE transactions on communications, vol. 33, no. 7, pp. 665-675, 1985.
[21] B. Farhang-Boroujeny, “Ofdm versus filter bank multi-carrier,†IEEE signal processing magazine, vol. 28, no. 3, pp.92-112, 2011.
[22] S. Chen and J. Zhao, “The requirements, challenges, and technologies for 5g of terrestrial mobile telecommunica-tion,†IEEE Communications Magazine, vol. 52, no. 5, pp.36-43, 2014.
[23] J. Thompson, X. Ge, H.-C. Wu, R. Irmer, H. Jiang, G. Fettweis, and S. Alamouti, “5g wireless communica-tion systems: prospects and challenges [guest editorial],†IEEE Communications Magazine, vol. 52, no. 2, pp. 62- 64, 2014.
[24] Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM wireless communications with MATLAB. John Wiley & Sons, 2010.
[25] G. Fettweis, M. Krondorf, and S. Bittner, “Gfdm-generalized frequency division multiplexing,†in Vehic-ular Technology Conference, 2009. VTC Spring 2009. IEEE 69th, pp. 1-4, IEEE, 2009.
[26] R. Datta, N. Michailow, M. Lentmaier, and G. Fettweis, “Gfdm interference cancellation for flexible cognitive radio phy design,†in Vehicular Technology Conference (VTC Fall), 2012 IEEE, pp. 1-5, IEEE, 2012.
[27] R. Datta, N. Michailow, S. Krone, M. Lentmaier, andG. Fettweis, “Generalized frequency division multiplex-ing in cognitive radio,†in Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European, pp. 2679-2683, IEEE, 2012.
[28] N. Michailow, I. Gaspar, S. Krone, M. Lentmaier, andG.Fettweis, “Generalized frequency division multiplex-ing: Analysis of an alternative multi-carrier technique for next generation cellular systems,†in Wireless Communi-cation Systems (ISWCS), 2012 International Symposium on, pp. 171-175, IEEE, 2012.
[29] I. Gaspar, N. Michailow, A. Navarro, E. Ohlmer,S.Krone, and G. Fettweis, “Low complexity gfdm re-ceiver based on sparse frequency domain processing,†in Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th, pp. 1-6, IEEE, 2013.
[30] A. Farhang, N. Marchetti, and L. E. Doyle, “Low com-plexitygfdm receiver design: A new approach,†in Com-munications (ICC), 2015 IEEE International Conference on, pp. 4775-4780, IEEE, 2015.
[31] A. Farhang, N. Marchetti, and L. E. Doyle, “Low-complexity modem design for gfdm,†IEEE Trans. Sig-nal Processing, vol. 64, no. 6, pp. 1507-1518, 2016.
[32] N. Michailow, S. Krone, M. Lentmaier, and G. Fettweis, “Bit error rate performance of generalized frequency division multiplexing,†in Vehicular Technology Confer-ence (VTC Fall), 2012 IEEE, pp. 1-5, IEEE, 2012.
[33] M. Sameen, A. A. Khan, I. Ullah Khan, N. Azim,T.Zaidi, and N. Iqbal, “Comparative analysis of ofdm and gfdm,†IJACTA, vol. 4, no. 2, pp. 267-274, 2017.
[2] S. K. Das, A. K. Yadav and S. Tripathi, “IE2M: Design of intellectual energy efficient multicast routing protocol for ad-hoc network,†Peer-to-Peer Networking and Applications, 2016, vol. 10, no. 3, pp. 670-687, DOI 10.1007/s12083-016-0532-6.
[3] S. K. Das and S. Tripathi, “Intelligent energy-aware efficient routing for MANET,†Wireless Networks, 2016, vol. 24, no. 4, pp. 1572-8196, DOI 10.1007/s11276-016-1388-7.
[4] S. K. Das and S. Tripathi, “Energy Efficient Routing Protocol for MANET Using Vague Set,†in Proceedings of Fifth International Conference on Soft Computing for Problem Solving, Springer, 2016, pp. 235-245, DOI: 10.1007/978-981-10-0448-3_19.
[5] S. K. Das and S. Tripathi, “Energy efficient routing protocol for manet based on vague set measurement technique,†Procedia Computer Science, 2015, vol. 58, pp. 348-355, doi:10.1016/j.procs.2015.08.030.
[6] S. K. Das, S. Tripathi, and A. Burnwal, “Intelligent energy competency multipath routing in wanet,†in Information Systems Design and Intelligent Applications, Springer, 2015, pp. 535-543, DOI: 10.1007/978-81-322-2250-7_53.
[7] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “Ethics of reducing power consumption in wireless sensor networks using soft computing techniques,†International Journal of Advanced Computer Research, 2013, vol. 3, no. 1, pp. 301-304.
[8] S. K. Das, B. Das, and A. Burnwal, “Intelligent energy competency routing scheme for wireless sensor networksâ€, International Journal of Research in Computer Applications and Robotics, 2014, vol. 2, no. 3, pp. 79-84.
[9] S. K. Das, A. K. Yadav and S. Tripathi, “Energy efficient routing formation algorithm for hybrid ad-hoc network: A geometric programming approach,†Peer-to-Peer Networking and Applications, 2018, pp. 1-27, https://doi.org/10.1007/s12083-018-0643-3.
[10] S. K. Das and S. Tripathi, “Adaptive and intelligent energy efficient routing for transparent heterogeneous ad-hoc network by fusion of game theory and linear programming,†Applied Intelligence, 2017, pp. 1-21, https://doi.org/10.1007/s10489-017-1061-6.
[11] S. K. Das and S. Tripathi, “Energy efficient routing formation technique for hybrid ad hoc network using fusion of artificial intelligence techniques,†International Journal of Communication Systems, 2017, pp. 1-16, DOI: 10.1002/dac.3340.
[12] S. K. Das, S. Tripathi, and A. Burnwal, “Fuzzy based energy efficient multicast routing for ad-hoc network,†in Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, IEEE, 2015, pp. 1-5, DOI: 10.1109/C3IT.2015.7060126.
[13] S. K. Das, S. Tripathi, and A. Burnwal, “Design of fuzzy based intelligent energy efficient routing protocol for WANET,†in Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on, IEEE, 2015, pp. 1-4, DOI: 10.1109/C3IT.2015.7060201.
[14] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “Ethics of E-Commerce in Information and Communications Technologies,†International Journal of Advanced Computer Research, 2013, vol. 3, no. 1, pp. 122-124, doi=10.1.1.300.9397.
[15] A. Burnwal, A. Kumar, and S. K. Das, “Survey on application of artificial intelligence techniques,†International Journal of Engineering Research & Management, 2014, vol. 1, no. 5, pp. 215-219.
[16] S. K. Das, A. Kumar, B. Das, and A. Burnwal, “On soft computing techniques in various areas,†Computer Science & Information Technology (CS & IT), 2013, vol. 3, pp. 59-68, DOI : 10.5121/csit.2013.3206.
[17] S. K. Das, S. Tripathi, and A. Burnwal, “Some relevance fields of soft computing methodology,†International Journal of Research in Computer Applications and Robotics, 2014, vol. 2, pp. 1-6.
[18] A. Burnwal, A. Kumar, and S. K. Das, “Assessment of fuzzy set theory in different paradigm,†International Journal of Advanced Technology & Engineering Research, 2013, vol. 3, no. 3, pp. 16-22.
[19] A. Burnwal, A. Kumar, and S. K. Das, “Assessment of Mathematical Modeling in Different Areas,†International Journal of Advanced Technology & Engineering Research, 2013, vol. 3, no. 3, pp. 23-26.
[20] L. Cimini, “Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplex-ing,†IEEE transactions on communications, vol. 33, no. 7, pp. 665-675, 1985.
[21] B. Farhang-Boroujeny, “Ofdm versus filter bank multi-carrier,†IEEE signal processing magazine, vol. 28, no. 3, pp.92-112, 2011.
[22] S. Chen and J. Zhao, “The requirements, challenges, and technologies for 5g of terrestrial mobile telecommunica-tion,†IEEE Communications Magazine, vol. 52, no. 5, pp.36-43, 2014.
[23] J. Thompson, X. Ge, H.-C. Wu, R. Irmer, H. Jiang, G. Fettweis, and S. Alamouti, “5g wireless communica-tion systems: prospects and challenges [guest editorial],†IEEE Communications Magazine, vol. 52, no. 2, pp. 62- 64, 2014.
[24] Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM wireless communications with MATLAB. John Wiley & Sons, 2010.
[25] G. Fettweis, M. Krondorf, and S. Bittner, “Gfdm-generalized frequency division multiplexing,†in Vehic-ular Technology Conference, 2009. VTC Spring 2009. IEEE 69th, pp. 1-4, IEEE, 2009.
[26] R. Datta, N. Michailow, M. Lentmaier, and G. Fettweis, “Gfdm interference cancellation for flexible cognitive radio phy design,†in Vehicular Technology Conference (VTC Fall), 2012 IEEE, pp. 1-5, IEEE, 2012.
[27] R. Datta, N. Michailow, S. Krone, M. Lentmaier, andG. Fettweis, “Generalized frequency division multiplex-ing in cognitive radio,†in Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European, pp. 2679-2683, IEEE, 2012.
[28] N. Michailow, I. Gaspar, S. Krone, M. Lentmaier, andG.Fettweis, “Generalized frequency division multiplex-ing: Analysis of an alternative multi-carrier technique for next generation cellular systems,†in Wireless Communi-cation Systems (ISWCS), 2012 International Symposium on, pp. 171-175, IEEE, 2012.
[29] I. Gaspar, N. Michailow, A. Navarro, E. Ohlmer,S.Krone, and G. Fettweis, “Low complexity gfdm re-ceiver based on sparse frequency domain processing,†in Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th, pp. 1-6, IEEE, 2013.
[30] A. Farhang, N. Marchetti, and L. E. Doyle, “Low com-plexitygfdm receiver design: A new approach,†in Com-munications (ICC), 2015 IEEE International Conference on, pp. 4775-4780, IEEE, 2015.
[31] A. Farhang, N. Marchetti, and L. E. Doyle, “Low-complexity modem design for gfdm,†IEEE Trans. Sig-nal Processing, vol. 64, no. 6, pp. 1507-1518, 2016.
[32] N. Michailow, S. Krone, M. Lentmaier, and G. Fettweis, “Bit error rate performance of generalized frequency division multiplexing,†in Vehicular Technology Confer-ence (VTC Fall), 2012 IEEE, pp. 1-5, IEEE, 2012.
[33] M. Sameen, A. A. Khan, I. Ullah Khan, N. Azim,T.Zaidi, and N. Iqbal, “Comparative analysis of ofdm and gfdm,†IJACTA, vol. 4, no. 2, pp. 267-274, 2017.