{"id":{"repo_id":"uts","oai_identifier":"oai:opus.lib.uts.edu.au:10453/170549"},"canonical_url":"https://search.dev.ndltd.org/etd/uts/oai:opus.lib.uts.edu.au:10453/170549","repository":{"repo_id":"uts","name":"University of Technology Sydney","base_url":"https://opus.lib.uts.edu.au/oai/request"},"display":{"title":"Low-Complexity Iterative Receiver Design for Multi-Carrier Faster-Than-Nyquist Signaling Over Frequency-Selective Fading Channel","abstract":"To meet the urgent requirements of future intelligent connection of all things and global coverage, the key to dealing with the contradiction between massive data and scarce spectrum resources is to improve the spectral efficiency of wireless communication systems. Multi-carrier faster-than-Nyquist (MFTN) signaling reduces the symbol period satisfying the Nyquist criterion in the time domain and the minimum spacing of orthogonal subcarriers in the frequency domain for remarkably improving the spectral efficiency, which still occupies the same frequency bandwidth. However, time-frequency compression introduces severe inter-symbol interference and inter-carrier interference simultaneously, which makes the receiver design of MFTN signaling quite challenging. Especially in multipath fading channels, the coupling of channel interference and self-interference imposed by MFTN signaling further increases the complexity of symbol detection and channel estimation in non-orthogonal transmission systems. Based on statistical signal processing and parameter estimation theory, this dissertation studies the design of a low-complexity iterative receiver for MFTN signaling over a frequency-selective fading channel. Moreover, this thesis makes contributions to iterative equalization, joint channel estimation and equalization algorithms. The main contributions of this thesis are summarized as follows: 1. A low-complexity iterative receiver based on hybrid message passing is proposed for spectrally efficient frequency division multiplexing (SEFDM) signaling combined with index modulation (IM), which solves the problem of joint symbol detection and channel estimation for frequency-domain one-dimensional non-orthogonal multi-carrier signaling in unknown channel scenarios. Numerical results show that compared to its Nyquist-based counterpart, SEFDM-IM signaling can achieve a similar bit error rate (BER) performance and significantly improve the spectral efficiency. 2. A parametric bilinear generalized approximate message passing (PBiGAMP)-based frequency-domain joint channel estimation and equalization (FDJCEE) algorithm is proposed for MFTN signaling, which solves the problem of joint symbol detection and channel estimation for time-frequency two-dimensional non-orthogonal multi-carrier signaling in unknown channel scenarios. Simulation results demonstrate that, compared to the MMSE-based algorithm, both of the proposed algorithms achieve better BER performance and significantly reduce the computational complexity in time-varying channels. 3. A novel non-orthogonal transmission scheme of joint MFTN and IM is developed, which effectively improves the BER performance of MFTN signaling. A pair of iterative equalization algorithms based on vector approximate message passing (VAMP) are proposed for solving the symbol detection issue in known channel scenarios. Numerical results verify that the VAMP-TDE algorithm is superior in terms of BER performance, while the VAMP-FDE algorithm is able to compromise between BER performance and computational complexity.","abstract_html":"To meet the urgent requirements of future intelligent connection of all things and global coverage, the key to dealing with the contradiction between massive data and scarce spectrum resources is to improve the spectral efficiency of wireless communication systems. Multi-carrier faster-than-Nyquist (MFTN) signaling reduces the symbol period satisfying the Nyquist criterion in the time domain and the minimum spacing of orthogonal subcarriers in the frequency domain for remarkably improving the spectral efficiency, which still occupies the same frequency bandwidth. However, time-frequency compression introduces severe inter-symbol interference and inter-carrier interference simultaneously, which makes the receiver design of MFTN signaling quite challenging. Especially in multipath fading channels, the coupling of channel interference and self-interference imposed by MFTN signaling further increases the complexity of symbol detection and channel estimation in non-orthogonal transmission systems. Based on statistical signal processing and parameter estimation theory, this dissertation studies the design of a low-complexity iterative receiver for MFTN signaling over a frequency-selective fading channel. Moreover, this thesis makes contributions to iterative equalization, joint channel estimation and equalization algorithms. The main contributions of this thesis are summarized as follows: 1. A low-complexity iterative receiver based on hybrid message passing is proposed for spectrally efficient frequency division multiplexing (SEFDM) signaling combined with index modulation (IM), which solves the problem of joint symbol detection and channel estimation for frequency-domain one-dimensional non-orthogonal multi-carrier signaling in unknown channel scenarios. Numerical results show that compared to its Nyquist-based counterpart, SEFDM-IM signaling can achieve a similar bit error rate (BER) performance and significantly improve the spectral efficiency. 2. A parametric bilinear generalized approximate message passing (PBiGAMP)-based frequency-domain joint channel estimation and equalization (FDJCEE) algorithm is proposed for MFTN signaling, which solves the problem of joint symbol detection and channel estimation for time-frequency two-dimensional non-orthogonal multi-carrier signaling in unknown channel scenarios. Simulation results demonstrate that, compared to the MMSE-based algorithm, both of the proposed algorithms achieve better BER performance and significantly reduce the computational complexity in time-varying channels. 3. A novel non-orthogonal transmission scheme of joint MFTN and IM is developed, which effectively improves the BER performance of MFTN signaling. A pair of iterative equalization algorithms based on vector approximate message passing (VAMP) are proposed for solving the symbol detection issue in known channel scenarios. Numerical results verify that the VAMP-TDE algorithm is superior in terms of BER performance, while the VAMP-FDE algorithm is able to compromise between BER performance and computational complexity.","abstract_has_math":false,"creators":["Ma, Yunsi"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023","date_published":"2023","updated_at":"2026-07-24T06:32:04Z","subjects":[],"languages":["en_US"],"rights":["info:eu-repo/semantics/openAccess","The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.","© 2023 Yunsi Ma","au.edu.uts.lib/cph"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10453/170549","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Ma, Yunsi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-05-30T03:34:21Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-05-30T03:34:21Z"]},{"key":"dc:date.issued","label":"Date","values":["2023"]},{"key":"dc:relation","label":"Dc Relation","values":["https://opus.lib.uts.edu.au/bitstream/10453/170549/1/thesis.pdf"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess","The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.","© 2023 Yunsi Ma","au.edu.uts.lib/cph"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10453/170549"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["University of Technology Sydney. Faculty of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["To meet the urgent requirements of future intelligent connection of all things and global coverage, the key to dealing with the contradiction between massive data and scarce spectrum resources is to improve the spectral efficiency of wireless communication systems. Multi-carrier faster-than-Nyquist (MFTN) signaling reduces the symbol period satisfying the Nyquist criterion in the time domain and the minimum spacing of orthogonal subcarriers in the frequency domain for remarkably improving the spectral efficiency, which still occupies the same frequency bandwidth. However, time-frequency compression introduces severe inter-symbol interference and inter-carrier interference simultaneously, which makes the receiver design of MFTN signaling quite challenging. Especially in multipath fading channels, the coupling of channel interference and self-interference imposed by MFTN signaling further increases the complexity of symbol detection and channel estimation in non-orthogonal transmission systems. Based on statistical signal processing and parameter estimation theory, this dissertation studies the design of a low-complexity iterative receiver for MFTN signaling over a frequency-selective fading channel. Moreover, this thesis makes contributions to iterative equalization, joint channel estimation and equalization algorithms. The main contributions of this thesis are summarized as follows: 1. A low-complexity iterative receiver based on hybrid message passing is proposed for spectrally efficient frequency division multiplexing (SEFDM) signaling combined with index modulation (IM), which solves the problem of joint symbol detection and channel estimation for frequency-domain one-dimensional non-orthogonal multi-carrier signaling in unknown channel scenarios. Numerical results show that compared to its Nyquist-based counterpart, SEFDM-IM signaling can achieve a similar bit error rate (BER) performance and significantly improve the spectral efficiency. 2. A parametric bilinear generalized approximate message passing (PBiGAMP)-based frequency-domain joint channel estimation and equalization (FDJCEE) algorithm is proposed for MFTN signaling, which solves the problem of joint symbol detection and channel estimation for time-frequency two-dimensional non-orthogonal multi-carrier signaling in unknown channel scenarios. Simulation results demonstrate that, compared to the MMSE-based algorithm, both of the proposed algorithms achieve better BER performance and significantly reduce the computational complexity in time-varying channels. 3. A novel non-orthogonal transmission scheme of joint MFTN and IM is developed, which effectively improves the BER performance of MFTN signaling. A pair of iterative equalization algorithms based on vector approximate message passing (VAMP) are proposed for solving the symbol detection issue in known channel scenarios. Numerical results verify that the VAMP-TDE algorithm is superior in terms of BER performance, while the VAMP-FDE algorithm is able to compromise between BER performance and computational complexity."]},{"key":"dc:format","label":"Dc Format","values":["Thesis (PhD)"]},{"key":"dc:title","label":"Title","values":["Low-Complexity Iterative Receiver Design for Multi-Carrier Faster-Than-Nyquist Signaling Over Frequency-Selective Fading Channel"]}]}],"canonical_facts":{"dc:creator":["Ma, Yunsi"],"dc:date.accessioned":["2023-05-30T03:34:21Z"],"dc:date.available":["2023-05-30T03:34:21Z"],"dc:date.issued":["2023"],"dc:description":["University of Technology Sydney. Faculty of Science."],"dc:description.abstract":["To meet the urgent requirements of future intelligent connection of all things and global coverage, the key to dealing with the contradiction between massive data and scarce spectrum resources is to improve the spectral efficiency of wireless communication systems. Multi-carrier faster-than-Nyquist (MFTN) signaling reduces the symbol period satisfying the Nyquist criterion in the time domain and the minimum spacing of orthogonal subcarriers in the frequency domain for remarkably improving the spectral efficiency, which still occupies the same frequency bandwidth. However, time-frequency compression introduces severe inter-symbol interference and inter-carrier interference simultaneously, which makes the receiver design of MFTN signaling quite challenging. Especially in multipath fading channels, the coupling of channel interference and self-interference imposed by MFTN signaling further increases the complexity of symbol detection and channel estimation in non-orthogonal transmission systems. Based on statistical signal processing and parameter estimation theory, this dissertation studies the design of a low-complexity iterative receiver for MFTN signaling over a frequency-selective fading channel. Moreover, this thesis makes contributions to iterative equalization, joint channel estimation and equalization algorithms. The main contributions of this thesis are summarized as follows: 1. A low-complexity iterative receiver based on hybrid message passing is proposed for spectrally efficient frequency division multiplexing (SEFDM) signaling combined with index modulation (IM), which solves the problem of joint symbol detection and channel estimation for frequency-domain one-dimensional non-orthogonal multi-carrier signaling in unknown channel scenarios. Numerical results show that compared to its Nyquist-based counterpart, SEFDM-IM signaling can achieve a similar bit error rate (BER) performance and significantly improve the spectral efficiency. 2. A parametric bilinear generalized approximate message passing (PBiGAMP)-based frequency-domain joint channel estimation and equalization (FDJCEE) algorithm is proposed for MFTN signaling, which solves the problem of joint symbol detection and channel estimation for time-frequency two-dimensional non-orthogonal multi-carrier signaling in unknown channel scenarios. Simulation results demonstrate that, compared to the MMSE-based algorithm, both of the proposed algorithms achieve better BER performance and significantly reduce the computational complexity in time-varying channels. 3. A novel non-orthogonal transmission scheme of joint MFTN and IM is developed, which effectively improves the BER performance of MFTN signaling. A pair of iterative equalization algorithms based on vector approximate message passing (VAMP) are proposed for solving the symbol detection issue in known channel scenarios. Numerical results verify that the VAMP-TDE algorithm is superior in terms of BER performance, while the VAMP-FDE algorithm is able to compromise between BER performance and computational complexity."],"dc:format":["Thesis (PhD)"],"dc:identifier.uri":["http://hdl.handle.net/10453/170549"],"dc:language.iso":["en_US"],"dc:relation":["https://opus.lib.uts.edu.au/bitstream/10453/170549/1/thesis.pdf"],"dc:rights":["info:eu-repo/semantics/openAccess","The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.","© 2023 Yunsi Ma","au.edu.uts.lib/cph"],"dc:title":["Low-Complexity Iterative Receiver Design for Multi-Carrier Faster-Than-Nyquist Signaling Over Frequency-Selective Fading Channel"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T06:32:04Z"}