Orthogonal Chirp Delay-Doppler Division Multiplexing (CDDM) Modulation for High Mobility Communications Article Swipe
This paper proposes a novel multi-carrier modulation framework for high-mobility communication scenarios. Our key idea lies in spreading data symbols across the delay-Doppler (DD) domain through orthogonal chirp-Zak transform (CZT). To enable efficient signal multiplexing, the proposed modulation scheme employs a transmitter signal that maintains orthogonality with the inherent resolution characteristics of the DD plane. Termed as Orthogonal Chirp Delay-Doppler Division Multiplexing (CDDM), we demonstrate a synergistic integration of chirp waveform properties with the channel structure of the DD domain, thereby achieving advantages with both lower computational efficiency and improved detection performance. We introduce a novel CZT-based superimposed sparse pilot structure to enable simultaneous estimation of delay-Doppler shifts and channel coefficients. For enhanced performance, we further develop an embedded pilot scheme that demonstrates channel estimation performance comparable to that of Orthogonal Delay-Doppler Division Multiplexing (ODDM) systems. Simulation results demonstrate that CDDM achieves significant bit error rate (BER) improvements over existing modulation schemes , under perfect channel state information (CSI), as well as superior out-of-band emissions (OOBE). Further, for the imperfect CSI case, the proposed CZT-based superimposed pilot scheme leads to significantly reduced normalized mean square error (NMSE), whilst attaining equivalent estimation accuracy to that of ODDM with lower computational complexity.
Related Topics
- Type
- article
- Landing Page
- http://arxiv.org/abs/2511.17991
- https://arxiv.org/pdf/2511.17991
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7106783396
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7106783396Canonical identifier for this work in OpenAlex
- Title
-
Orthogonal Chirp Delay-Doppler Division Multiplexing (CDDM) Modulation for High Mobility CommunicationsWork title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-22Full publication date if available
- Authors
-
Bai, Chaoyuan, Fan, Pingzhi, Zhou Zhengchun, Liu, ZilongList of authors in order
- Landing page
-
https://arxiv.org/abs/2511.17991Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2511.17991Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2511.17991Direct OA link when available
- Concepts
-
Orthogonality, Multiplexing, Computer science, Modulation (music), Chirp, Electronic engineering, Channel (broadcasting), Algorithm, Orthogonal frequency-division multiplexing, Transmitter, Bit error rate, Time-division multiplexing, SIGNAL (programming language), Computational complexity theory, Spectral efficiency, Pilot signal, Waveform, Frequency-division multiplexing, Signal processing, Time domain, Telecommunications, Frequency domain, Statistical time division multiplexing, Key (lock), Channel state informationTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W7106783396 |
|---|---|
| doi | |
| ids.openalex | https://openalex.org/W7106783396 |
| fwci | 0.0 |
| type | article |
| title | Orthogonal Chirp Delay-Doppler Division Multiplexing (CDDM) Modulation for High Mobility Communications |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11873 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.8887032866477966 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2208 |
| topics[0].subfield.display_name | Electrical and Electronic Engineering |
| topics[0].display_name | PAPR reduction in OFDM |
| topics[1].id | https://openalex.org/T10125 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.01806129328906536 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2208 |
| topics[1].subfield.display_name | Electrical and Electronic Engineering |
| topics[1].display_name | Advanced Wireless Communication Techniques |
| topics[2].id | https://openalex.org/T10891 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.013820987194776535 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2202 |
| topics[2].subfield.display_name | Aerospace Engineering |
| topics[2].display_name | Radar Systems and Signal Processing |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C17137986 |
| concepts[0].level | 2 |
| concepts[0].score | 0.722021758556366 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q215067 |
| concepts[0].display_name | Orthogonality |
| concepts[1].id | https://openalex.org/C19275194 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6172896027565002 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q222903 |
| concepts[1].display_name | Multiplexing |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5820851922035217 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C123079801 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5739801526069641 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q750240 |
| concepts[3].display_name | Modulation (music) |
| concepts[4].id | https://openalex.org/C132794960 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5582572817802429 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q27304 |
| concepts[4].display_name | Chirp |
| concepts[5].id | https://openalex.org/C24326235 |
| concepts[5].level | 1 |
| concepts[5].score | 0.5445773601531982 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q126095 |
| concepts[5].display_name | Electronic engineering |
| concepts[6].id | https://openalex.org/C127162648 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5361558198928833 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q16858953 |
| concepts[6].display_name | Channel (broadcasting) |
| concepts[7].id | https://openalex.org/C11413529 |
| concepts[7].level | 1 |
| concepts[7].score | 0.5069541335105896 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[7].display_name | Algorithm |
| concepts[8].id | https://openalex.org/C40409654 |
| concepts[8].level | 3 |
| concepts[8].score | 0.4708179533481598 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q375889 |
| concepts[8].display_name | Orthogonal frequency-division multiplexing |
| concepts[9].id | https://openalex.org/C47798520 |
| concepts[9].level | 3 |
| concepts[9].score | 0.46300461888313293 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q190157 |
| concepts[9].display_name | Transmitter |
| concepts[10].id | https://openalex.org/C56296756 |
| concepts[10].level | 3 |
| concepts[10].score | 0.42492201924324036 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q840922 |
| concepts[10].display_name | Bit error rate |
| concepts[11].id | https://openalex.org/C50661577 |
| concepts[11].level | 3 |
| concepts[11].score | 0.4236206114292145 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q901831 |
| concepts[11].display_name | Time-division multiplexing |
| concepts[12].id | https://openalex.org/C2779843651 |
| concepts[12].level | 2 |
| concepts[12].score | 0.38585853576660156 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7390335 |
| concepts[12].display_name | SIGNAL (programming language) |
| concepts[13].id | https://openalex.org/C179799912 |
| concepts[13].level | 2 |
| concepts[13].score | 0.3775559961795807 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q205084 |
| concepts[13].display_name | Computational complexity theory |
| concepts[14].id | https://openalex.org/C137246740 |
| concepts[14].level | 3 |
| concepts[14].score | 0.3383237421512604 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q583970 |
| concepts[14].display_name | Spectral efficiency |
| concepts[15].id | https://openalex.org/C197264572 |
| concepts[15].level | 3 |
| concepts[15].score | 0.3382910192012787 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q2095206 |
| concepts[15].display_name | Pilot signal |
| concepts[16].id | https://openalex.org/C197424946 |
| concepts[16].level | 3 |
| concepts[16].score | 0.32529890537261963 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1165717 |
| concepts[16].display_name | Waveform |
| concepts[17].id | https://openalex.org/C89061704 |
| concepts[17].level | 4 |
| concepts[17].score | 0.3076578378677368 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q5555726 |
| concepts[17].display_name | Frequency-division multiplexing |
| concepts[18].id | https://openalex.org/C104267543 |
| concepts[18].level | 3 |
| concepts[18].score | 0.3015967607498169 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q208163 |
| concepts[18].display_name | Signal processing |
| concepts[19].id | https://openalex.org/C103824480 |
| concepts[19].level | 2 |
| concepts[19].score | 0.2841360867023468 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q185889 |
| concepts[19].display_name | Time domain |
| concepts[20].id | https://openalex.org/C76155785 |
| concepts[20].level | 1 |
| concepts[20].score | 0.2826491892337799 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[20].display_name | Telecommunications |
| concepts[21].id | https://openalex.org/C19118579 |
| concepts[21].level | 2 |
| concepts[21].score | 0.2689151465892792 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q786423 |
| concepts[21].display_name | Frequency domain |
| concepts[22].id | https://openalex.org/C173512123 |
| concepts[22].level | 3 |
| concepts[22].score | 0.26888561248779297 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q5978010 |
| concepts[22].display_name | Statistical time division multiplexing |
| concepts[23].id | https://openalex.org/C26517878 |
| concepts[23].level | 2 |
| concepts[23].score | 0.2688315510749817 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q228039 |
| concepts[23].display_name | Key (lock) |
| concepts[24].id | https://openalex.org/C148063708 |
| concepts[24].level | 3 |
| concepts[24].score | 0.25722643733024597 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q5072511 |
| concepts[24].display_name | Channel state information |
| keywords[0].id | https://openalex.org/keywords/orthogonality |
| keywords[0].score | 0.722021758556366 |
| keywords[0].display_name | Orthogonality |
| keywords[1].id | https://openalex.org/keywords/multiplexing |
| keywords[1].score | 0.6172896027565002 |
| keywords[1].display_name | Multiplexing |
| keywords[2].id | https://openalex.org/keywords/modulation |
| keywords[2].score | 0.5739801526069641 |
| keywords[2].display_name | Modulation (music) |
| keywords[3].id | https://openalex.org/keywords/chirp |
| keywords[3].score | 0.5582572817802429 |
| keywords[3].display_name | Chirp |
| keywords[4].id | https://openalex.org/keywords/channel |
| keywords[4].score | 0.5361558198928833 |
| keywords[4].display_name | Channel (broadcasting) |
| keywords[5].id | https://openalex.org/keywords/orthogonal-frequency-division-multiplexing |
| keywords[5].score | 0.4708179533481598 |
| keywords[5].display_name | Orthogonal frequency-division multiplexing |
| keywords[6].id | https://openalex.org/keywords/transmitter |
| keywords[6].score | 0.46300461888313293 |
| keywords[6].display_name | Transmitter |
| keywords[7].id | https://openalex.org/keywords/bit-error-rate |
| keywords[7].score | 0.42492201924324036 |
| keywords[7].display_name | Bit error rate |
| keywords[8].id | https://openalex.org/keywords/time-division-multiplexing |
| keywords[8].score | 0.4236206114292145 |
| keywords[8].display_name | Time-division multiplexing |
| language | |
| locations[0].id | pmh:oai:arXiv.org:2511.17991 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2511.17991 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2511.17991 |
| indexed_in | arxiv |
| authorships[0].author.id | |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Bai, Chaoyuan |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Bai, Chaoyuan |
| authorships[0].is_corresponding | True |
| authorships[1].author.id | https://openalex.org/A30661793 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Fan, Pingzhi |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Fan, Pingzhi |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A2357557109 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Zhou Zhengchun |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Zhou, Zhengchun |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A2220736060 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Liu, Zilong |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Liu, Zilong |
| authorships[3].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2511.17991 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-11-27T00:00:00 |
| display_name | Orthogonal Chirp Delay-Doppler Division Multiplexing (CDDM) Modulation for High Mobility Communications |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-27T01:16:37.896743 |
| primary_topic.id | https://openalex.org/T11873 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.8887032866477966 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2208 |
| primary_topic.subfield.display_name | Electrical and Electronic Engineering |
| primary_topic.display_name | PAPR reduction in OFDM |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | pmh:oai:arXiv.org:2511.17991 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2511.17991 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2511.17991 |
| primary_location.id | pmh:oai:arXiv.org:2511.17991 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2511.17991 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2511.17991 |
| publication_date | 2025-11-22 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index., | 152 |
| abstract_inverted_index.a | 3, 40, 65, 94 |
| abstract_inverted_index.DD | 53, 78 |
| abstract_inverted_index.To | 30 |
| abstract_inverted_index.We | 92 |
| abstract_inverted_index.an | 117 |
| abstract_inverted_index.as | 56, 159, 161 |
| abstract_inverted_index.in | 16 |
| abstract_inverted_index.of | 51, 68, 76, 105, 129, 194 |
| abstract_inverted_index.to | 101, 127, 179, 192 |
| abstract_inverted_index.we | 63, 114 |
| abstract_inverted_index.CSI | 170 |
| abstract_inverted_index.For | 111 |
| abstract_inverted_index.Our | 12 |
| abstract_inverted_index.and | 88, 108 |
| abstract_inverted_index.bit | 143 |
| abstract_inverted_index.for | 8, 167 |
| abstract_inverted_index.key | 13 |
| abstract_inverted_index.the | 21, 35, 47, 52, 73, 77, 168, 172 |
| abstract_inverted_index.(DD) | 23 |
| abstract_inverted_index.CDDM | 140 |
| abstract_inverted_index.ODDM | 195 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.both | 84 |
| abstract_inverted_index.data | 18 |
| abstract_inverted_index.idea | 14 |
| abstract_inverted_index.lies | 15 |
| abstract_inverted_index.mean | 183 |
| abstract_inverted_index.over | 148 |
| abstract_inverted_index.rate | 145 |
| abstract_inverted_index.that | 43, 121, 128, 139, 193 |
| abstract_inverted_index.well | 160 |
| abstract_inverted_index.with | 46, 72, 83, 196 |
| abstract_inverted_index.(BER) | 146 |
| abstract_inverted_index.Chirp | 58 |
| abstract_inverted_index.case, | 171 |
| abstract_inverted_index.chirp | 69 |
| abstract_inverted_index.error | 144, 185 |
| abstract_inverted_index.leads | 178 |
| abstract_inverted_index.lower | 85, 197 |
| abstract_inverted_index.novel | 4, 95 |
| abstract_inverted_index.paper | 1 |
| abstract_inverted_index.pilot | 99, 119, 176 |
| abstract_inverted_index.state | 156 |
| abstract_inverted_index.under | 153 |
| abstract_inverted_index.(CSI), | 158 |
| abstract_inverted_index.(CZT). | 29 |
| abstract_inverted_index.(ODDM) | 134 |
| abstract_inverted_index.Termed | 55 |
| abstract_inverted_index.across | 20 |
| abstract_inverted_index.domain | 24 |
| abstract_inverted_index.enable | 31, 102 |
| abstract_inverted_index.plane. | 54 |
| abstract_inverted_index.scheme | 38, 120, 177 |
| abstract_inverted_index.shifts | 107 |
| abstract_inverted_index.signal | 33, 42 |
| abstract_inverted_index.sparse | 98 |
| abstract_inverted_index.square | 184 |
| abstract_inverted_index.whilst | 187 |
| abstract_inverted_index.(CDDM), | 62 |
| abstract_inverted_index.(NMSE), | 186 |
| abstract_inverted_index.(OOBE). | 165 |
| abstract_inverted_index.channel | 74, 109, 123, 155 |
| abstract_inverted_index.develop | 116 |
| abstract_inverted_index.domain, | 79 |
| abstract_inverted_index.employs | 39 |
| abstract_inverted_index.further | 115 |
| abstract_inverted_index.perfect | 154 |
| abstract_inverted_index.reduced | 181 |
| abstract_inverted_index.results | 137 |
| abstract_inverted_index.schemes | 151 |
| abstract_inverted_index.symbols | 19 |
| abstract_inverted_index.thereby | 80 |
| abstract_inverted_index.through | 25 |
| abstract_inverted_index.Division | 60, 132 |
| abstract_inverted_index.Further, | 166 |
| abstract_inverted_index.accuracy | 191 |
| abstract_inverted_index.achieves | 141 |
| abstract_inverted_index.embedded | 118 |
| abstract_inverted_index.enhanced | 112 |
| abstract_inverted_index.existing | 149 |
| abstract_inverted_index.improved | 89 |
| abstract_inverted_index.inherent | 48 |
| abstract_inverted_index.proposed | 36, 173 |
| abstract_inverted_index.proposes | 2 |
| abstract_inverted_index.superior | 162 |
| abstract_inverted_index.systems. | 135 |
| abstract_inverted_index.waveform | 70 |
| abstract_inverted_index.CZT-based | 96, 174 |
| abstract_inverted_index.achieving | 81 |
| abstract_inverted_index.attaining | 188 |
| abstract_inverted_index.chirp-Zak | 27 |
| abstract_inverted_index.detection | 90 |
| abstract_inverted_index.efficient | 32 |
| abstract_inverted_index.emissions | 164 |
| abstract_inverted_index.framework | 7 |
| abstract_inverted_index.imperfect | 169 |
| abstract_inverted_index.introduce | 93 |
| abstract_inverted_index.maintains | 44 |
| abstract_inverted_index.spreading | 17 |
| abstract_inverted_index.structure | 75, 100 |
| abstract_inverted_index.transform | 28 |
| abstract_inverted_index.Orthogonal | 57, 130 |
| abstract_inverted_index.Simulation | 136 |
| abstract_inverted_index.advantages | 82 |
| abstract_inverted_index.comparable | 126 |
| abstract_inverted_index.efficiency | 87 |
| abstract_inverted_index.equivalent | 189 |
| abstract_inverted_index.estimation | 104, 124, 190 |
| abstract_inverted_index.modulation | 6, 37, 150 |
| abstract_inverted_index.normalized | 182 |
| abstract_inverted_index.orthogonal | 26 |
| abstract_inverted_index.properties | 71 |
| abstract_inverted_index.resolution | 49 |
| abstract_inverted_index.scenarios. | 11 |
| abstract_inverted_index.complexity. | 199 |
| abstract_inverted_index.demonstrate | 64, 138 |
| abstract_inverted_index.information | 157 |
| abstract_inverted_index.integration | 67 |
| abstract_inverted_index.out-of-band | 163 |
| abstract_inverted_index.performance | 125 |
| abstract_inverted_index.significant | 142 |
| abstract_inverted_index.synergistic | 66 |
| abstract_inverted_index.transmitter | 41 |
| abstract_inverted_index.Multiplexing | 61, 133 |
| abstract_inverted_index.demonstrates | 122 |
| abstract_inverted_index.improvements | 147 |
| abstract_inverted_index.performance, | 113 |
| abstract_inverted_index.performance. | 91 |
| abstract_inverted_index.simultaneous | 103 |
| abstract_inverted_index.superimposed | 97, 175 |
| abstract_inverted_index.Delay-Doppler | 59, 131 |
| abstract_inverted_index.coefficients. | 110 |
| abstract_inverted_index.communication | 10 |
| abstract_inverted_index.computational | 86, 198 |
| abstract_inverted_index.delay-Doppler | 22, 106 |
| abstract_inverted_index.high-mobility | 9 |
| abstract_inverted_index.multi-carrier | 5 |
| abstract_inverted_index.multiplexing, | 34 |
| abstract_inverted_index.orthogonality | 45 |
| abstract_inverted_index.significantly | 180 |
| abstract_inverted_index.characteristics | 50 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.74040497 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |