Sum Rate Maximization for Self-Sustainable IRS-Assisted UAV Communications

Xie, Wenwu; Li, Yixuan; Yu, Chao; Ji, Wang; Peng, Xin; Zhu, Peng

doi:10.1109/lcomm.2022.3223876

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…In this regard, the authors suggested a UAV framework, where one UAV transmits useful confidential information to the ground user and the other UAV generates artificial noise to baffle the eavesdropper to secure the transmitted information. Nonetheless, these works [13]- [19], do not consider UAV-enabled MEC systems nor their support for URLLC services. On one hand, we have a set of works [20]- [24], in technical literature that consider UAV-enabled MEC systems.…”

Section: B Related Workmentioning

confidence: 99%

Facilitating URLLC vis-á-vis UAV-Enabled Relaying for MEC Systems in 6-G Networks

Ranjha,

Naboulsi,

Emary

et al. 2024

IEEE Trans. Rel.

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The futuristic sixth-generation (6G) networks will empower ultra-reliable and low latency communications (URLLC), enabling a wide array of mission-critical applications such as mobile edge computing (MEC) systems, which are largely unsupported by fixed communication infrastructure. To remedy this issue, unmanned aerial vehicle (UAV) has recently come to the limelight to facilitate MEC for internet of things (IoT) devices as they provide desirable line-of-sight (LoS) communications compared to fixed terrestrial networks, thanks to their added flexibility and three-dimensional (3D) positioning. In this paper, we consider UAV-enabled relaying for MEC systems for uplink transmissions in 6G networks, and we aim to optimize mission completion time subject to the constraints of resource allocation, including UAV transmit power, UAV CPU frequency, decoding error rate, blocklength, communication bandwidth, and task partitioning as well as 3D UAV positioning. Moreover, to solve the non-convex optimization problem, we propose three different algorithms, including successive convex approximations (SCA), altered genetic algorithm (AGA) and smart exhaustive search (SES). Thereafter, based on time-complexity, execution time, and convergence analysis, we select AGA to solve the given optimization problem. Simulation results demonstrate that the proposed algorithm can successfully minimize the mission completion time, perform power allocation at the UAV side to mitigate information leakage and eavesdropping as well as map a 3D UAV positioning, yielding better results compared to the fixed benchmark sub-methods. Lastly, subject to 3D UAV positioning, AGA can also effectively reduce the decoding error rate for supporting URLLC services.

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Section: B Related Workmentioning

confidence: 99%

Facilitating URLLC vis-á-vis UAV-Enabled Relaying for MEC Systems in 6-G Networks

Ranjha,

Naboulsi,

Emary

et al. 2024

IEEE Trans. Rel.

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“…However, this approach does not yield satisfactory results in the alternating optimization algorithm. Hence, we adopt a penalty-based method as an alternative [10]. To be specific, the objective function is rewritten as…”

Section: B Optimizesmentioning

confidence: 99%

“…To solve the concave function ( 23), we rewrite ( 23) by employing the first-order Taylor expansion [10]…”

Section: B Optimizesmentioning

confidence: 99%

Wireless Communication in the Presence of Illegal Reconfigurable Intelligent Surface: Signal Leakage and Interference Attack

Wang

Zhao

et al. 2022

IEEE Wireless Commun.

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A double self-sustainable reconfigurable intelligent surfaces (RISs) assisted multi-user multiple input multiple output (MIMO) system is investigated, where two RISs are equipped with energy harvesting circuit to achieve self-sustainable transmission. We aim to minimize the transmission power at the base station (BS), while guaranteeing the quality of service (QoS) requirements of the users and meeting the power consumption requirements of the RISs. In order to address the formulated coupled non-convex problem, we employ a block coordinate descent (BCD) algorithm based on the penalty-based method and successive convex approximation (SCA) to alternatively optimize the active beamforming at the BS and the phase shifts, as well as amplitude coefficients of two RISs. Simulation results show that the required power consumption at the BS for the proposed double self-sustainable RISs system is significantly reduced compared to conventional RIS systems.

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Joint throughput maximization, interference cancellation, and power efficiency for multi-IRS-empowered UAV communications

Gu,

Mohajer

2024

SIViP

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Sum Rate Maximization for Self-Sustainable IRS-Assisted UAV Communications

Cited by 7 publications

References 14 publications

Facilitating URLLC vis-á-vis UAV-Enabled Relaying for MEC Systems in 6-G Networks

Facilitating URLLC vis-á-vis UAV-Enabled Relaying for MEC Systems in 6-G Networks

Wireless Communication in the Presence of Illegal Reconfigurable Intelligent Surface: Signal Leakage and Interference Attack

Joint throughput maximization, interference cancellation, and power efficiency for multi-IRS-empowered UAV communications

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