Integrated Sensing and Communications for 3D Object Imaging via Bilinear Inference

We consider an uplink integrated sensing and communications (ISAC) scenario where the detection of data symbols from multiple user equipment (UEs) occurs simultaneously with a three-dimensional (3D) estimation of the environment, extracted from the scattering features present in the channel state in...

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Published inIEEE transactions on wireless communications Vol. 23; no. 8; pp. 8636 - 8653
Main Authors Rou, Hyeon Seok, de Abreu, Giuseppe Thadeu Freitas, Gonzalez G., David, Gonsa, Osvaldo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
3D object imaging
B5G
bilinear inference
Communications equipment
Image transmission
Inference
ISAC
JCAS
Message passing
Modular structures
Radar
Sensors
Solid modeling
Symbols
Three-dimensional displays
voxelated grid map
Wireless communication
Wireless sensor networks
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Abstract We consider an uplink integrated sensing and communications (ISAC) scenario where the detection of data symbols from multiple user equipment (UEs) occurs simultaneously with a three-dimensional (3D) estimation of the environment, extracted from the scattering features present in the channel state information (CSI) and utilizing the same physical layer communications air interface, as opposed to radar technologies. By exploiting a discrete (voxelated) representation of the environment, two novel ISAC schemes are derived with purpose-built message passing (MP) rules for the joint estimation of data symbols and status (filled/empty) of the discretized environment. The first relies on a modular feedback structure in which the data symbols and the environment are estimated alternately, whereas the second leverages a bilinear inference framework to estimate both variables concurrently. Both contributed methods are shown via simulations to outperform the state-of-the-art (SotA) in accurately recovering the transmitted data as well as the 3D image of the environment. An analysis of the computational complexities of the proposed methods reveals distinct advantages of each scheme, namely, that the bilinear solution exhibits a superior robustness to short pilots and channel blockages, while the alternating solution offers lower complexity with large number of UEs and superior performance in ideal conditions.
AbstractList We consider an uplink integrated sensing and communications (ISAC) scenario where the detection of data symbols from multiple user equipment (UEs) occurs simultaneously with a three-dimensional (3D) estimation of the environment, extracted from the scattering features present in the channel state information (CSI) and utilizing the same physical layer communications air interface, as opposed to radar technologies. By exploiting a discrete (voxelated) representation of the environment, two novel ISAC schemes are derived with purpose-built message passing (MP) rules for the joint estimation of data symbols and status (filled/empty) of the discretized environment. The first relies on a modular feedback structure in which the data symbols and the environment are estimated alternately, whereas the second leverages a bilinear inference framework to estimate both variables concurrently. Both contributed methods are shown via simulations to outperform the state-of-the-art (SotA) in accurately recovering the transmitted data as well as the 3D image of the environment. An analysis of the computational complexities of the proposed methods reveals distinct advantages of each scheme, namely, that the bilinear solution exhibits a superior robustness to short pilots and channel blockages, while the alternating solution offers lower complexity with large number of UEs and superior performance in ideal conditions.
Author de Abreu, Giuseppe Thadeu Freitas
Rou, Hyeon Seok
Gonzalez G., David
Gonsa, Osvaldo
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Cites_doi 10.1109/MSP.2019.2907329
10.1007/s11432-018-9811-0
10.1109/TAP.2017.2734243
10.1109/TITS.2016.2616718
10.1109/RADAR.2019.8835764
10.1109/COMST.2018.2865724
10.1109/TTHZ.2021.3128677
10.1109/TCOMM.2020.2973976
10.1109/IEEECONF56349.2022.10051822
10.1109/ICRA.2019.8794264
10.1109/ACCESS.2021.3076326
10.1109/MCOMSTD.0001.2100016
10.1109/TSP.2018.2833813
10.1109/TWC.2019.2936025
10.1109/TSP.2020.2994394
10.1109/IEEECONF56349.2022.10051848
10.1109/JSAC.2022.3156632
10.1109/ICCVW.2011.6130377
10.1109/ACCESS.2021.3059488
10.1016/c2019-0-00297-x
10.1109/LCOMM.2017.2723890
10.1109/JSTSP.2016.2539123
10.1109/TWC.2019.2922609
10.1109/COMST.2018.2844322
10.1109/JSTSP.2021.3113120
10.1109/TVT.2021.3104219
10.1109/TWC.2021.3088125
10.3846/jcem.2018.5189
10.1109/ICC45855.2022.9839167
10.1109/JSTSP.2021.3118219
10.1109/LAWP.2021.3134953
10.1109/MVT.2019.2921208
10.1109/TVT.2020.3046438
10.1109/COMST.2022.3149272
10.1109/MWC.001.1900157
10.1109/COMST.2021.3122519
10.1109/LCOMM.2022.3168077
10.1109/ACCESS.2019.2930208
10.1109/TSP.2020.3044847
10.1109/JSTSP.2019.2934931
10.1109/ACCESS.2019.2935192
10.1109/MWC.001.2000327
10.1109/TVT.2017.2774762
10.1109/TVT.2020.3006481
10.1109/MCOM.2018.1700064
10.1109/ACCESS.2019.2921522
10.1109/WCSP52459.2021.9613663
10.1109/TSP.2014.2357776
10.1109/ACCESS.2023.3283610
10.1007/s11276-015-0942-z
10.1109/JSTSP.2021.3111432
10.1109/GLOBECOM38437.2019.9013236
10.1109/MNET.001.1900287
10.1109/OJCOMS.2022.3162591
10.1109/WCSP49889.2020.9299878
10.1109/COMMNET.2018.8360286
10.1109/VTCFall.2014.6966170
10.1109/RADAR.2016.8059539
10.1109/JSAC.2017.2719924
10.23919/EuCAP51087.2021.9411178
10.1109/MCOMSTD.2020.9088323
10.1109/ITWKSPS.2010.5503188
10.1109/MCOM.2017.1700082
10.1109/ICCWorkshops53468.2022.9814528
10.1109/MED.2007.4433772
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References ref13
ref57
ref12
ref56
ref15
ref14
ref53
ref52
ref11
ref55
ref10
ref54
ref17
ref16
ref19
ref18
Richards (ref33) 2014
Møller (ref59) 2007
ref51
ref50
ref46
ref45
ref48
ref47
ref42
ref41
ref44
ref43
ref49
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
ref35
ref34
ref37
ref36
ref31
ref30
ref32
ref2
ref1
ref39
ref38
ref24
ref68
ref23
ref67
ref26
ref25
ref20
ref64
ref63
ref22
ref66
ref21
ref65
Kang (ref58) 2005
ref28
ref27
ref29
ref60
ref62
ref61
References_xml – ident: ref35
  doi: 10.1109/MSP.2019.2907329
– ident: ref34
  doi: 10.1007/s11432-018-9811-0
– ident: ref4
  doi: 10.1109/TAP.2017.2734243
– ident: ref51
  doi: 10.1109/TITS.2016.2616718
– ident: ref41
  doi: 10.1109/RADAR.2019.8835764
– ident: ref54
  doi: 10.1109/COMST.2018.2865724
– ident: ref8
  doi: 10.1109/TTHZ.2021.3128677
– ident: ref24
  doi: 10.1109/TCOMM.2020.2973976
– ident: ref66
  doi: 10.1109/IEEECONF56349.2022.10051822
– ident: ref56
  doi: 10.1109/ICRA.2019.8794264
– ident: ref57
  doi: 10.1109/ACCESS.2021.3076326
– ident: ref27
  doi: 10.1109/MCOMSTD.0001.2100016
– ident: ref36
  doi: 10.1109/TSP.2018.2833813
– ident: ref15
  doi: 10.1109/TWC.2019.2936025
– ident: ref37
  doi: 10.1109/TSP.2020.2994394
– ident: ref1
  doi: 10.1109/IEEECONF56349.2022.10051848
– ident: ref17
  doi: 10.1109/JSAC.2022.3156632
– ident: ref52
  doi: 10.1109/ICCVW.2011.6130377
– ident: ref21
  doi: 10.1109/ACCESS.2021.3059488
– ident: ref29
  doi: 10.1016/c2019-0-00297-x
– ident: ref43
  doi: 10.1109/LCOMM.2017.2723890
– ident: ref64
  doi: 10.1109/JSTSP.2016.2539123
– ident: ref16
  doi: 10.1109/TWC.2019.2922609
– ident: ref5
  doi: 10.1109/COMST.2018.2844322
– ident: ref22
  doi: 10.1109/JSTSP.2021.3113120
– ident: ref30
  doi: 10.1109/TVT.2021.3104219
– ident: ref62
  doi: 10.1109/TWC.2021.3088125
– ident: ref60
  doi: 10.3846/jcem.2018.5189
– ident: ref63
  doi: 10.1109/ICC45855.2022.9839167
– year: 2005
  ident: ref58
  article-title: Time and frequency domain joint channel estimation in multi-carrier multi-branch systems
– volume-title: Fundamentals of Radar Signal Processing
  year: 2014
  ident: ref33
– ident: ref38
  doi: 10.1109/JSTSP.2021.3118219
– ident: ref50
  doi: 10.1109/LAWP.2021.3134953
– ident: ref3
  doi: 10.1109/MVT.2019.2921208
– ident: ref42
  doi: 10.1109/TVT.2020.3046438
– ident: ref18
  doi: 10.1109/COMST.2022.3149272
– ident: ref12
  doi: 10.1109/MWC.001.1900157
– ident: ref23
  doi: 10.1109/COMST.2021.3122519
– ident: ref31
  doi: 10.1109/LCOMM.2022.3168077
– ident: ref11
  doi: 10.1109/ACCESS.2019.2930208
– ident: ref65
  doi: 10.1109/TSP.2020.3044847
– ident: ref13
  doi: 10.1109/JSTSP.2019.2934931
– ident: ref14
  doi: 10.1109/ACCESS.2019.2935192
– ident: ref25
  doi: 10.1109/MWC.001.2000327
– ident: ref39
  doi: 10.1109/TVT.2017.2774762
– ident: ref44
  doi: 10.1109/TVT.2020.3006481
– ident: ref45
  doi: 10.1109/MCOM.2018.1700064
– ident: ref10
  doi: 10.1109/ACCESS.2019.2921522
– ident: ref19
  doi: 10.1109/WCSP52459.2021.9613663
– ident: ref61
  doi: 10.1109/TSP.2014.2357776
– ident: ref55
  doi: 10.1109/ACCESS.2023.3283610
– ident: ref7
  doi: 10.1007/s11276-015-0942-z
– ident: ref47
  doi: 10.1109/JSTSP.2021.3111432
– ident: ref28
  doi: 10.1109/GLOBECOM38437.2019.9013236
– ident: ref2
  doi: 10.1109/MNET.001.1900287
– ident: ref32
  doi: 10.1109/OJCOMS.2022.3162591
– ident: ref48
  doi: 10.1109/WCSP49889.2020.9299878
– ident: ref9
  doi: 10.1109/COMMNET.2018.8360286
– ident: ref68
  doi: 10.1109/VTCFall.2014.6966170
– year: 2007
  ident: ref59
  article-title: Stochastic geometry and random tessellations
– ident: ref40
  doi: 10.1109/RADAR.2016.8059539
– ident: ref6
  doi: 10.1109/JSAC.2017.2719924
– ident: ref20
  doi: 10.23919/EuCAP51087.2021.9411178
– ident: ref26
  doi: 10.1109/MCOMSTD.2020.9088323
– ident: ref67
  doi: 10.1109/ITWKSPS.2010.5503188
– ident: ref46
  doi: 10.1109/MCOM.2017.1700082
– ident: ref49
  doi: 10.1109/ICCWorkshops53468.2022.9814528
– ident: ref53
  doi: 10.1109/MED.2007.4433772
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Snippet We consider an uplink integrated sensing and communications (ISAC) scenario where the detection of data symbols from multiple user equipment (UEs) occurs...
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SubjectTerms 3D object imaging
B5G
bilinear inference
Communications equipment
Image transmission
Inference
ISAC
JCAS
Message passing
Modular structures
Radar
Sensors
Solid modeling
Symbols
Three-dimensional displays
voxelated grid map
Wireless communication
Wireless sensor networks
Title Integrated Sensing and Communications for 3D Object Imaging via Bilinear Inference
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