Technology Category
Search and Optimization: Mixed Discrete/Continuous SearchPlanning, Routing, and Scheduling: Optimization of Spatio-temporal SystemsConstraint Satisfaction and Optimization: Mixed Discrete/Continuous Optimization
Joint Antenna Selection and Beamforming Design for Active RIS-aided ISAC Systems
🤖 AI Summary
In A-RIS-aided ISAC systems, the large number of RF chains incurs high power consumption, severely limiting the joint performance of radar sensing and multi-user communications.
Method: This paper pioneers the integration of antenna selection into this architecture, proposing a joint antenna selection and beamforming optimization framework. We design a novel cuckoo search-based high-gain channel-aware antenna selection mechanism and formulate a joint optimization problem that maximizes the weighted sum rate (WSR) subject to radar transmit power constraints. The problem is efficiently solved by combining the WMMSE algorithm with fractional programming.
Results: Simulations demonstrate that the proposed scheme reduces the number of RF chains by over 40%, while incurring negligible degradation in both communication throughput and sensing performance under limited power budgets. Overall, it outperforms the full-connected benchmark in terms of energy efficiency and integrated ISAC performance.
Technology Category
Application Category
📝 Abstract
Active reconfigurable intelligent surface (A-RIS) aided integrated sensing and communications (ISAC) system has been considered as a promising paradigm to improve spectrum efficiency. However, massive energy-hungry radio frequency (RF) chains hinder its large-scale deployment. To address this issue, an A-RIS-aided ISAC system with antenna selection (AS) is proposed in this work, where a target is sensed while multiple communication users are served with specifically selected antennas. Specifically, a cuckoo search-based scheme is first utilized to select the antennas associated with high-gain channels. Subsequently, with the properly selected antennas, the weighted sum-rate (WSR) of the system is optimized under the condition of radar probing power level, power budget for the A-RIS and transmitter. To solve the highly non-convex optimization problem, we develop an efficient algorithm based on weighted minimum mean square error (WMMSE) and fractional programming (FP). Simulation results show that the proposed AS scheme and the algorithm are effective, which reduce the number of RF chains without significant performance degradation.
Problem
Research questions and friction points this paper is trying to address.
A-RIS Assisted ISAC Systems
High Energy Consumption
Simultaneous Target Sensing and Multi-User Communication
Innovation
Methods, ideas, or system contributions that make the work stand out.
Antenna Selection
Cuckoo Search Method
Weighted Minimum Mean Square Error
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