RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS?
A shortage of frequencies exists due to the demand of extensive connectivity and limited availability of spectrum. Thus a prominent solution of sharing spectrum between radar and communication systems has been proposed. Integrated sensing and communication (ISAC) aims to achieve complete integration...
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IEEE
2024-01-01
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| author | Prajwalita Saikia Anand Jee Keshav Singh Cunhua Pan Wan-Jen Huang Theodoros A. Tsiftsis |
| author_facet | Prajwalita Saikia Anand Jee Keshav Singh Cunhua Pan Wan-Jen Huang Theodoros A. Tsiftsis |
| author_sort | Prajwalita Saikia |
| collection | DOAJ |
| description | A shortage of frequencies exists due to the demand of extensive connectivity and limited availability of spectrum. Thus a prominent solution of sharing spectrum between radar and communication systems has been proposed. Integrated sensing and communication (ISAC) aims to achieve complete integration and reciprocal advantages between communication and sensing processes. In this work, we consider Simultaneous Transmission and Reflection (STAR) Reconfigurable Intelligent Surface (S-RIS) and passive RIS (P-RIS) assisted dual-function radar communication system where S-RIS and P-RIS assist communication and sensing functionalities, respectively. We formulate an optimization problem that jointly optimizes the beamforming vector at the multi-antenna ISAC transmitter and phase shift vector to maximize the weighted sum-rate (WSR) at the communication users while taking care of the maximum power limit the ISAC transmitter and ensuring the performance of sensing model to detect targets and limitations of phase and amplitude of S-RIS elements. To address the non-convexity, we propose a low-complexity alternating optimization (AO) algorithm. Furthermore, we provide simulation results to verify the viability of the proposed framework with its a) only P-RIS assisted scheme, and b) proposed model with random phase shift, counterparts. The proposed algorithm is also shown to be effective in delivering nearly optimal design outcomes in scenario where the channel state information is imperfect (ICSI). Simulation results demonstrate the impact of RIS elements, number of antennas at the ISAC transmitter and the transmit power on WSR. Accordingly, we illustrate the impact of S-RIS and reflection users (RU) locations and the effect of sensing threshold and the number of targets which highlights the trade-off between sensing and communication. The S-RIS framework offer approximately performance gain of 12.5% and 38.8% as compared to conventional and random cases, respectively. |
| format | Article |
| id | doaj-art-81fe352cc2dd4f46ac14959eba511dbe |
| institution | Kabale University |
| issn | 2644-125X |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj-art-81fe352cc2dd4f46ac14959eba511dbe2024-12-25T00:02:09ZengIEEEIEEE Open Journal of the Communications Society2644-125X2024-01-0157954797310.1109/OJCOMS.2024.351593310792983RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS?Prajwalita Saikia0https://orcid.org/0000-0001-8469-8263Anand Jee1https://orcid.org/0000-0001-6714-332XKeshav Singh2https://orcid.org/0000-0001-9028-4518Cunhua Pan3https://orcid.org/0000-0001-5286-7958Wan-Jen Huang4https://orcid.org/0000-0002-3423-0408Theodoros A. Tsiftsis5https://orcid.org/0000-0002-4856-3932Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, TaiwanDepartment of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, IndiaInstitute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, TaiwanNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaDepartment of Electrical and Electronic Engineering, University of Nottingham Ningbo China, Ningbo, ChinaDepartment of Informatics Telecommunications, University of Thessaly, Lamia, GreeceA shortage of frequencies exists due to the demand of extensive connectivity and limited availability of spectrum. Thus a prominent solution of sharing spectrum between radar and communication systems has been proposed. Integrated sensing and communication (ISAC) aims to achieve complete integration and reciprocal advantages between communication and sensing processes. In this work, we consider Simultaneous Transmission and Reflection (STAR) Reconfigurable Intelligent Surface (S-RIS) and passive RIS (P-RIS) assisted dual-function radar communication system where S-RIS and P-RIS assist communication and sensing functionalities, respectively. We formulate an optimization problem that jointly optimizes the beamforming vector at the multi-antenna ISAC transmitter and phase shift vector to maximize the weighted sum-rate (WSR) at the communication users while taking care of the maximum power limit the ISAC transmitter and ensuring the performance of sensing model to detect targets and limitations of phase and amplitude of S-RIS elements. To address the non-convexity, we propose a low-complexity alternating optimization (AO) algorithm. Furthermore, we provide simulation results to verify the viability of the proposed framework with its a) only P-RIS assisted scheme, and b) proposed model with random phase shift, counterparts. The proposed algorithm is also shown to be effective in delivering nearly optimal design outcomes in scenario where the channel state information is imperfect (ICSI). Simulation results demonstrate the impact of RIS elements, number of antennas at the ISAC transmitter and the transmit power on WSR. Accordingly, we illustrate the impact of S-RIS and reflection users (RU) locations and the effect of sensing threshold and the number of targets which highlights the trade-off between sensing and communication. The S-RIS framework offer approximately performance gain of 12.5% and 38.8% as compared to conventional and random cases, respectively.https://ieeexplore.ieee.org/document/10792983/Integrated sensing and communication (ISAC)multiple input single output (MISO)passive reconfigurable intelligent surface (P-RIS)simultaneously transmitting and reflecting (STAR) RIS (S-RIS)weighted sum rate (WSR) |
| spellingShingle | Prajwalita Saikia Anand Jee Keshav Singh Cunhua Pan Wan-Jen Huang Theodoros A. Tsiftsis RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? IEEE Open Journal of the Communications Society Integrated sensing and communication (ISAC) multiple input single output (MISO) passive reconfigurable intelligent surface (P-RIS) simultaneously transmitting and reflecting (STAR) RIS (S-RIS) weighted sum rate (WSR) |
| title | RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? |
| title_full | RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? |
| title_fullStr | RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? |
| title_full_unstemmed | RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? |
| title_short | RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? |
| title_sort | ris aided integrated sensing and communication systems star ris versus passive ris |
| topic | Integrated sensing and communication (ISAC) multiple input single output (MISO) passive reconfigurable intelligent surface (P-RIS) simultaneously transmitting and reflecting (STAR) RIS (S-RIS) weighted sum rate (WSR) |
| url | https://ieeexplore.ieee.org/document/10792983/ |
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