In this letter, we propose an efficient resource allocation algorithm for communication systems assisted by multiple uncrewed aerial vehicles borne reconfigurable intelligent surfaces (RISs). The algorithm jointly optimizes the base station (BS) power allocation, active beamforming and RIS phase shifts to maximize the system energy efficiency (EE). As the EE maximization problem is a multi-variable coupling problem with non-convexity, we adopt a Dinkelbach-based block coordinate descent framework to decouple it into three subproblems. The BS power allocation and active beamforming subproblems are solved using fractional programming and Riemannian conjugate gradient algorithm, respectively. For the RIS phase shifts optimization, we propose a low-complexity momentum-accelerated coordinate descent algorithm. Numerical results validate the effectiveness of our joint optimization framework.
This paper proposes a robust beamforming optimization algorithm for reconfigurable intelligent surface (RIS)-unmanned aerial vehicle (UAV) assisted two-layer rate-splitting multiple access (RSMA) system under imperfect successive interference cancellation (SIC). Firstly, fractional programming (FP) is employed to trans...
Yu-Jian Wang, Peng Xu· International Conference on...· 0 citations
This paper proposes a dual aerial active reconfigurable intelligent surface (ARIS)-assisted non-orthogonal multiple access (NOMA)-based integrated terrestrial and non-terrestrial networks (ITNTN), where UAV-mounted and HAP-mounted ARISs assist terrestrial and satellite users, respectively. We formulate an average sum-r...
Vangara Saiprudhvi, Keshav Singh, Hariharan Subramaniyam et al.· Proceedings of the 7th Inter...· 0 citations
This paper jointly optimizes spectrum allocation, UAV association and deployment to maximize average system throughput while ensuring localization accuracy in ISAC networks, where sensing is realized through localization.
Zhuo-Jia Yang, Wei Su, Bin Yang et al.· IEEE Transactions on Mobile...· 0 citations
This work investigates the secrecy performance of a dual-uncrewed aerial vehicle (UAV)-assisted secure ISAC system, and maximizes the average secrecy rate by optimizing user scheduling strategies, time allocation, transmit power, and UAV trajectories.
Hongjiang Lei, Jianshuo Geng, Ki-Hong Park et al.· 1 citation
This letter investigates a secure UAV-enabled integrated sensing and communication (ISAC) system, where fluid antennas (FAs) are exploited to reconfigure the spatial response of the aerial transmitter. A joint optimization problem is formulated to maximize the average weighted sensing gain (AWSG) by jointly optimizing...
Jun-Yuan Fan, Xiao-Kai Song, Jie Tang et al.· IEEE Wireless Communications...· 0 citations
This paper studies energy-efficient downlink multi-user transmissions with unmanned aerial vehicle (UAV) communication systems equipped with stacked intelligent metasurfaces (SIM), enabling wave-domain analog beamforming through multiple cascaded metasurface layers, while low-dimensional digital precoding is carried ou...
Chandan Kumar Sheemar, Giovanni Iacovelli, Sourabh Solanki et al.· 1 citation
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