UAV (unmanned aerial vehicle) and IRS (intelligent reflecting surface) assisted mobile edge computing (MEC) faces low quality of service (QoS) due to the single functionality of UAV and IRS. In response, we propose a simultaneous wireless information and power transfer (SWIPT)-MEC network aided by multi-functional UAV and IRS, where a SWIPT Base Station (SBS) is employed to charge UAVs and assist them in processing tasks. In addition, the multi-functional UAVs can compress task before forwarding it, while the multi-functional IRS enhances both communication and charging channels. To maximize long-term system utility, we design a dynamic feature extraction (DFE)-aided Alternative Optimization Framework (DAOF) to jointly optimize IRS phase-shift, task compression, collaborative offloading, resource allocation and charging duration of UAVs. Numerical results demonstrate that DAOF achieves the highest system utility over other benchmarks.
Si-Nong Zhang, Liang Zhao, Xing-Wang Li et al.· IEEE Wireless Communications...· 0 citations
Satellite-terrestrial integrated networks with simultaneous wireless information and power transfer (SWIPT) provide wide-area connectivity and sustainable service support, but they also face serious security challenges due to the broadcast nature of satellite links and the possibility that an energy receiver may act as potential eavesdropper. To address this issue, this paper proposes a secure precoding design for a high-altitude platform (HAP)-assisted rate-splitting multiple access (RSMA) architecture under a quasi-static transmission model. Specifically, a cooperative direct and relay transmission (CDRT) framework is developed, in which the HAP assists the satellite transmission to improve the physical layer security for multi-user SWIPT services. By assuming the energy receiver near the target user as potential eavesdropper, we formulate a sum secrecy rate maximization problem subject to energy harvesting and transmit power constraints. To transform the original nonconvex optimization problem into a tractable convex problem, we employ techniques such as first-order Taylor expansion approximation, rank-one constraint relaxation, successive convex approximation, and semidefinite relaxation. Numerical results demonstrate that the proposed CDRT-RSMA scheme significantly outperforms conventional non-orthogonal and time-division multiple access schemes in terms of security performance.
Mengyan Huang, Xing-Wang Li, Chengjun Jiang et al.· IEEE Journal on Selected Are...· 0 citations
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