An Efficient Algorithm for Robust Fractional QCQP and its Applications to Multiuser Beamforming With Bounded Channel Uncertainties

Luo, Hualiang; Li, Quanzhong; Yang, Liang; Qin, Jiayin

doi:10.1109/tsp.2022.3229632

Cited by 3 publications

(1 citation statement)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PLS is a technique that uses wireless transmission characteristics such as noise and channel conditions, to achieve secure transmission at the intended receiver and reduce the shared information at the eavesdropper [15], [16]. As compared to traditional cryptographic schemes, PLS do not require any security keys and also do not incur delays required for signing and verification of digital signatures [17].…”

Section: Introductionmentioning

confidence: 99%

IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things

et al. 2023

View full text Add to dashboard Cite

5G is a key enabler of Industrial Internet of Things (IIoT) that provides seamless connectivity between machines, sensors and computing servers. Security and privacy are major concerns for 5G enabled IIoT. Physical Layer Security (PLS) is a promising technique that can enhance the security of 5G enabled IIoT. In this paper, we present an IRS-assisted PLS scheme for 5G enabled IIoT that improves the weighted secrecy sum-rate (WSSR) of the industrial wireless network, where eavesdroppers are present around the facility. The key idea is to jointly optimize active and passive beamforming vectors to increase the secrecy rate at the user. To maximize WSSR, we use the stable matching algorithm that optimally assigns IRSs for secure data sharing between industrial units. Simulation results show that the proposed scheme enhances the WSSR performance by 40% and minimum secrecy rate by 25% as compared to the random and maximum weight matching schemes, respectively.

show abstract

Section: Introductionmentioning

confidence: 99%