Energy Efficiency Optimization in Active Reconfigurable Intelligent Surface-Aided Integrated Sensing and Communication Systems
arxiv(2023)
摘要
Energy efficiency (EE) is a challenging task in integrated sensing and
communication (ISAC) systems, where high spectral efficiency and low energy
consumption appear as conflicting requirements. Although passive reconfigurable
intelligent surface (RIS) has emerged as a promising technology for enhancing
the EE of the ISAC system, the multiplicative fading feature hinders its
effectiveness. This paper proposes the use of active RIS with its amplification
gains to assist the ISAC system for EE improvement. Specifically, we formulate
an EE optimization problem in an active RIS-aided ISAC system under system
power budgets, considering constraints on user communication quality of service
and sensing signal-to-noise ratio (SNR). A novel alternating optimization
algorithm is developed to address the highly non-convex problem by leveraging a
combination of the generalized Rayleigh quotient optimization approach,
semidefinite relaxation (SDR), and the majorization-minimization (MM)
framework. Furthermore, to accelerate the algorithm and reduce computational
complexity, we derive a semi-closed form for eigenvalue determination.
Numerical results demonstrate the effectiveness of the proposed approach,
showcasing significant improvements in EE compared to both passive RIS and
spectrum efficiency optimization cases.
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