IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations

Index Modulated Orthogonal Frequency-Division Multiplexing (IM-OFDM) based Integrated Sensing and Communication (ISAC) is potentially capable of outperforming Orthogonal Frequency-Division Multiplexing (OFDM) ISAC, since Index Modulation (IM) concentrates increased power on the activated subcarriers...

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Main Authors: Hugo Hawkins, Chao Xu, Lie-Liang Yang, Lajos Hanzo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10438844/
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author Hugo Hawkins
Chao Xu
Lie-Liang Yang
Lajos Hanzo
author_facet Hugo Hawkins
Chao Xu
Lie-Liang Yang
Lajos Hanzo
author_sort Hugo Hawkins
collection DOAJ
description Index Modulated Orthogonal Frequency-Division Multiplexing (IM-OFDM) based Integrated Sensing and Communication (ISAC) is potentially capable of outperforming Orthogonal Frequency-Division Multiplexing (OFDM) ISAC, since Index Modulation (IM) concentrates increased power on the activated subcarriers. This has been confirmed by authoritative publications for the IM-OFDM communication component. However, no evidence is found in the open literature that IM-OFDM sensing is capable of outperforming OFDM sensing, because the blank subcarriers impair the system's sensing functionality. The existing solutions either insert a radar signal into the deactivated subcarriers, thereby using a radar signal for sensing, or employ compressed sensing, which leads to a lower sensing performance than OFDM ISAC. Hence, a novel low complexity algorithm is proposed for ensuring that an IM-OFDM ISAC system outperforms its OFDM ISAC counterpart for both communication and sensing. The algorithm collects observations of the received signal to “fill in” the blank subcarriers in the sensing data created by IM-OFDM, whilst taking advantage of the increased subcarrier power attained by activating fewer subcarriers. This occurs over multiple transmit frames, which inevitably delays the target estimation. As OFDM sensing assumes low target velocities, this delay is shown to have a negligible impact on the sensing performance of IM-OFDM. The simulation results show that IM-OFDM ISAC is indeed capable of outperforming its OFDM ISAC counterpart for both sensing and communication. The impact of block interleaving and of the modulation type on the sensing performance is also discussed.
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issn 2644-1330
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spelling doaj-art-78ab21a26a294f5c8bf26fe97f6598fc2025-01-30T00:04:00ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302024-01-01531232910.1109/OJVT.2024.336677210438844IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing ObservationsHugo Hawkins0https://orcid.org/0000-0001-5324-4795Chao Xu1https://orcid.org/0000-0002-8423-0342Lie-Liang Yang2https://orcid.org/0000-0002-2032-9327Lajos Hanzo3https://orcid.org/0000-0002-2636-5214School of Electronics and Computer Science, University of Southampton, Southampton, U.K.School of Electronics and Computer Science, University of Southampton, Southampton, U.K.School of Electronics and Computer Science, University of Southampton, Southampton, U.K.School of Electronics and Computer Science, University of Southampton, Southampton, U.K.Index Modulated Orthogonal Frequency-Division Multiplexing (IM-OFDM) based Integrated Sensing and Communication (ISAC) is potentially capable of outperforming Orthogonal Frequency-Division Multiplexing (OFDM) ISAC, since Index Modulation (IM) concentrates increased power on the activated subcarriers. This has been confirmed by authoritative publications for the IM-OFDM communication component. However, no evidence is found in the open literature that IM-OFDM sensing is capable of outperforming OFDM sensing, because the blank subcarriers impair the system's sensing functionality. The existing solutions either insert a radar signal into the deactivated subcarriers, thereby using a radar signal for sensing, or employ compressed sensing, which leads to a lower sensing performance than OFDM ISAC. Hence, a novel low complexity algorithm is proposed for ensuring that an IM-OFDM ISAC system outperforms its OFDM ISAC counterpart for both communication and sensing. The algorithm collects observations of the received signal to “fill in” the blank subcarriers in the sensing data created by IM-OFDM, whilst taking advantage of the increased subcarrier power attained by activating fewer subcarriers. This occurs over multiple transmit frames, which inevitably delays the target estimation. As OFDM sensing assumes low target velocities, this delay is shown to have a negligible impact on the sensing performance of IM-OFDM. The simulation results show that IM-OFDM ISAC is indeed capable of outperforming its OFDM ISAC counterpart for both sensing and communication. The impact of block interleaving and of the modulation type on the sensing performance is also discussed.https://ieeexplore.ieee.org/document/10438844/Integrated sensing and communicationindex modulationorthogonal frequency- division multiplexing
spellingShingle Hugo Hawkins
Chao Xu
Lie-Liang Yang
Lajos Hanzo
IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations
IEEE Open Journal of Vehicular Technology
Integrated sensing and communication
index modulation
orthogonal frequency- division multiplexing
title IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations
title_full IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations
title_fullStr IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations
title_full_unstemmed IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations
title_short IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations
title_sort im ofdm isac outperforms ofdm isac by combining multiple sensing observations
topic Integrated sensing and communication
index modulation
orthogonal frequency- division multiplexing
url https://ieeexplore.ieee.org/document/10438844/
work_keys_str_mv AT hugohawkins imofdmisacoutperformsofdmisacbycombiningmultiplesensingobservations
AT chaoxu imofdmisacoutperformsofdmisacbycombiningmultiplesensingobservations
AT lieliangyang imofdmisacoutperformsofdmisacbycombiningmultiplesensingobservations
AT lajoshanzo imofdmisacoutperformsofdmisacbycombiningmultiplesensingobservations