TY - GEN
T1 - Integrated Sensing and Communication in Coordinated Cellular Networks
AU - Xu, Dongfang
AU - Liu, Chang
AU - Song, Shenghui
AU - Kwan Ng, Derrick Wing
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/7
Y1 - 2023/7
N2 - Integrated sensing and communication (ISAC) is a promising technique to provide sensing services in future wireless networks. Numerous existing works have adopted a monostatic radar architecture to realize ISAC, i.e., employing the same base station (BS) to transmit the ISAC signal and receive the echo. Yet, the concurrent information transmission causes unavoidable self-interference (SI) to the radar echo at the BS. To overcome this difficulty, we propose a coordinated cellular network-supported multistatic radar architecture to implement ISAC, which allows us to spatially separate the ISAC signal transmission and radar echo reception, intrinsically circumventing the problem of SI. To this end, we jointly optimize the transmit and receive beamforming policy to minimize the sensing beam pattern mismatch error subject to ISAC quality-of-service requirements. The resulting non-convex optimization problem is tackled by an alternating optimization-based suboptimal algorithm. Simulation results showed that the proposed scheme outperforms the two baseline schemes adopting conventional designs.
AB - Integrated sensing and communication (ISAC) is a promising technique to provide sensing services in future wireless networks. Numerous existing works have adopted a monostatic radar architecture to realize ISAC, i.e., employing the same base station (BS) to transmit the ISAC signal and receive the echo. Yet, the concurrent information transmission causes unavoidable self-interference (SI) to the radar echo at the BS. To overcome this difficulty, we propose a coordinated cellular network-supported multistatic radar architecture to implement ISAC, which allows us to spatially separate the ISAC signal transmission and radar echo reception, intrinsically circumventing the problem of SI. To this end, we jointly optimize the transmit and receive beamforming policy to minimize the sensing beam pattern mismatch error subject to ISAC quality-of-service requirements. The resulting non-convex optimization problem is tackled by an alternating optimization-based suboptimal algorithm. Simulation results showed that the proposed scheme outperforms the two baseline schemes adopting conventional designs.
KW - beam-forming design
KW - Integrated sensing and communication
KW - resource allocation
KW - self-interference management
UR - http://www.scopus.com/inward/record.url?scp=85161106567&partnerID=8YFLogxK
U2 - 10.1109/SSP53291.2023.10207991
DO - 10.1109/SSP53291.2023.10207991
M3 - Conference article published in proceeding or book
AN - SCOPUS:85161106567
T3 - IEEE Workshop on Statistical Signal Processing Proceedings
SP - 90
EP - 94
BT - Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, SSP 2023
PB - IEEE Computer Society
T2 - 22nd IEEE Statistical Signal Processing Workshop, SSP 2023
Y2 - 2 July 2023 through 5 July 2023
ER -