Sum-rate Maximization for RIS-assisted Integrated Sensing and Communication Systems with Manifold Optimization

Integrated sensing and communication (ISAC) is a key enabler for next-generation wireless communication systems to improve spectral efficiency. However, the coexistence of sensing and communication functionalities can cause harmful interference. In this paper, we propose to use a reconfigurable inte...

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Published inIEEE transactions on communications Vol. 71; no. 8; p. 1
Main Authors Shtaiwi, Eyad, Zhang, Hongliang, Abdelhadi, Ahmed, Lee Swindlehurst, A., Han, Zhu, Vincent Poor, H.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Array signal processing
Beamforming
Communication systems
Communications systems
integrated sensing and communications
Interference
interference mitigation
manifold optimization
Manifolds
Mathematical programming
Optimization
Radar
reconfigurable intelligent surface
Sensors
sum-rate maximization
Wireless communication systems
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Abstract Integrated sensing and communication (ISAC) is a key enabler for next-generation wireless communication systems to improve spectral efficiency. However, the coexistence of sensing and communication functionalities can cause harmful interference. In this paper, we propose to use a reconfigurable intelligent surface (RIS) in conjunction with ISAC to address this issue. The RIS is composed of a large number of low-cost elements that can adjust the amplitude and phase shift of impinging signals, thus providing a relatively high beamforming gain. To maximize the sum-rate of the communication system, we jointly optimize the beamformer at the base station (BS) and the phase shifts at the RIS, subject to a threshold on the interference power, the unit-norm constraint of the transmit power, and the unit modulus constraint of the RIS phase shifts. To efficiently tackle this NP-hard problem, we first reformulate the problem into a more tractable form using the fractional programming (FP) technique. Then, we exploit the geometrical properties of the constraints and adopt an alternating manifold-based optimization to compute the optimal active beamformer and the RIS phase shifts, respectively. Simulation results demonstrate that the proposed RIS-assisted design significantly reduces the mutual interference and improves the system sum-rate for the communication system.
AbstractList Integrated sensing and communication (ISAC) is a key enabler for next-generation wireless communication systems to improve spectral efficiency. However, the coexistence of sensing and communication functionalities can cause harmful interference. In this paper, we propose to use a reconfigurable intelligent surface (RIS) in conjunction with ISAC to address this issue. The RIS is composed of a large number of low-cost elements that can adjust the amplitude and phase shift of impinging signals, thus providing a relatively high beamforming gain. To maximize the sum-rate of the communication system, we jointly optimize the beamformer at the base station (BS) and the phase shifts at the RIS, subject to a threshold on the interference power, the unit-norm constraint of the transmit power, and the unit modulus constraint of the RIS phase shifts. To efficiently tackle this NP-hard problem, we first reformulate the problem into a more tractable form using the fractional programming (FP) technique. Then, we exploit the geometrical properties of the constraints and adopt an alternating manifold-based optimization to compute the optimal active beamformer and the RIS phase shifts, respectively. Simulation results demonstrate that the proposed RIS-assisted design significantly reduces the mutual interference and improves the system sum-rate for the communication system.
Author Zhang, Hongliang
Lee Swindlehurst, A.
Abdelhadi, Ahmed
Shtaiwi, Eyad
Han, Zhu
Vincent Poor, H.
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Snippet Integrated sensing and communication (ISAC) is a key enabler for next-generation wireless communication systems to improve spectral efficiency. However, the...
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SubjectTerms Array signal processing
Beamforming
Communication systems
Communications systems
integrated sensing and communications
Interference
interference mitigation
manifold optimization
Manifolds
Mathematical programming
Optimization
Radar
reconfigurable intelligent surface
Sensors
sum-rate maximization
Wireless communication systems
Title Sum-rate Maximization for RIS-assisted Integrated Sensing and Communication Systems with Manifold Optimization
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