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- Publisher Website: 10.1109/TWC.2023.3285795
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Article: STARS-ISAC: How Many Sensors Do We Need?
Title | STARS-ISAC: How Many Sensors Do We Need? |
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Authors | |
Keywords | Beamforming design integrated sensing and communications (ISAC) sensor deployment simultaneously transmitting and reflecting surface (STARS) |
Issue Date | 2024 |
Citation | IEEE Transactions on Wireless Communications, 2024, v. 23, n. 2, p. 1085-1099 How to Cite? |
Abstract | A simultaneously transmitting and reflecting surface (STARS) enabled two-phase integrated sensing and communications (ISAC) framework is proposed, where a novel bi-directional sensing-STARS architecture is devised to facilitate the full-space communication and sensing in a time-switching manner. Based on the proposed framework, a joint optimization problem is formulated, where the Cram $\acute {\text {e}}\text{r}$ -Rao bound (CRB) for estimating the 2-dimension direction-of-arrival of the sensing target is minimized. Two cases are considered for sensing performance enhancement. 1) For the two-user case with the fixed number of sensors, an alternating optimization algorithm is proposed. In particular, the maximum number of deployable sensors is obtained in the closed-form expressions, where the maximum number of sensors is revealed to be only relevant to the QoS requirements of communications. 2) For the multi-user case with the variable number of sensors, an extended CRB (ECRB) metric is proposed to characterize the impact of the number of sensors on the sensing performance. A generic decoupling approach is proposed to convexify the non-convex ECRB expression. Based on this, a novel penalty-based double-loop (PDL) algorithm is proposed. Simulation results reveal that 1) the proposed PDL algorithm achieves a near-optimal performance with consideration of sensor deployment; 2) it is preferable to deploy more passive elements than sensors in terms of achieving optimal sensing performance. |
Persistent Identifier | http://hdl.handle.net/10722/349927 |
ISSN | 2023 Impact Factor: 8.9 2023 SCImago Journal Rankings: 5.371 |
DC Field | Value | Language |
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dc.contributor.author | Zhang, Zheng | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Wang, Zhaolin | - |
dc.contributor.author | Chen, Jian | - |
dc.date.accessioned | 2024-10-17T07:01:54Z | - |
dc.date.available | 2024-10-17T07:01:54Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | IEEE Transactions on Wireless Communications, 2024, v. 23, n. 2, p. 1085-1099 | - |
dc.identifier.issn | 1536-1276 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349927 | - |
dc.description.abstract | A simultaneously transmitting and reflecting surface (STARS) enabled two-phase integrated sensing and communications (ISAC) framework is proposed, where a novel bi-directional sensing-STARS architecture is devised to facilitate the full-space communication and sensing in a time-switching manner. Based on the proposed framework, a joint optimization problem is formulated, where the Cram $\acute {\text {e}}\text{r}$ -Rao bound (CRB) for estimating the 2-dimension direction-of-arrival of the sensing target is minimized. Two cases are considered for sensing performance enhancement. 1) For the two-user case with the fixed number of sensors, an alternating optimization algorithm is proposed. In particular, the maximum number of deployable sensors is obtained in the closed-form expressions, where the maximum number of sensors is revealed to be only relevant to the QoS requirements of communications. 2) For the multi-user case with the variable number of sensors, an extended CRB (ECRB) metric is proposed to characterize the impact of the number of sensors on the sensing performance. A generic decoupling approach is proposed to convexify the non-convex ECRB expression. Based on this, a novel penalty-based double-loop (PDL) algorithm is proposed. Simulation results reveal that 1) the proposed PDL algorithm achieves a near-optimal performance with consideration of sensor deployment; 2) it is preferable to deploy more passive elements than sensors in terms of achieving optimal sensing performance. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Wireless Communications | - |
dc.subject | Beamforming design | - |
dc.subject | integrated sensing and communications (ISAC) | - |
dc.subject | sensor deployment | - |
dc.subject | simultaneously transmitting and reflecting surface (STARS) | - |
dc.title | STARS-ISAC: How Many Sensors Do We Need? | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TWC.2023.3285795 | - |
dc.identifier.scopus | eid_2-s2.0-85163535604 | - |
dc.identifier.volume | 23 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 1085 | - |
dc.identifier.epage | 1099 | - |
dc.identifier.eissn | 1558-2248 | - |