Robust Secure Transmission Design for IRS-Assisted mmWave Cognitive Radio Networks

Wu, Xuewen; Ma, Jingxiao; Gu, Chenwei; Xue, Xiaoping; Zeng, Xin

doi:10.1109/tvt.2022.3172293

Cited by 30 publications

(15 citation statements)

References 65 publications

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“…Using an alternating optimization (AO) approach, they jointly optimized the secondary transmitter's beam-former and RIS phase-shifting, aiming to maximize the secondary SC performance. This work was extended in [96] to mmWave and imperfect CSI of the wiretap channel. The authors developed an AO method, and the simulation results showed that the worst-case ASR performance was very close to optimal.…”

Section: Eve-exclusion Zone + An Designmentioning

confidence: 99%

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Ghourab¹,

Jaafar²,

Bariah³

et al. 2023

Preprint

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Fifth-generation and beyond (5G and xG) wireless networks are envisioned to meet the requirements of various vertical applications that require higher traffic throughput, ultra-massive connectivity, extremely low latency, and high quality of service. Disruptive technologies, such as massive multiple-input multiple-output, millimeter wave, and multiple access are being deployed to meet these requirements. However, the deployment of these technologies poses several challenges, including the lack of network transparency, management decentralization, and reliability. In addition, the heterogeneity of these networks raises security concerns, particularly, confidentiality, privacy, and trustworthiness. Typically, networks rely on encryption techniques at higher layers to ensure security and privacy. However, due to the emergence of novel computing paradigms, such as quantum computing, traditional security approaches are no longer sufficient to protect over-the-air communications. Therefore, 5G/xG networks must consider smarter and more efficient security techniques to operate seamlessly and efficiently. Within this context, physical layer security (PLS) and blockchain represent promising solutions to complement existing methods. By exploiting the characteristics of wireless links, PLS can enhance the security of wireless communications, while blockchain can guarantee the decentralization, integrity, and trustworthiness of networks. Motivated by these technological advancements, this paper provides an in-depth review of the existing literature on PLS and blockchain. Then, for the first time, we present a framework for the integration of PLS with blockchain in 5G/xG systems. We begin by providing a thorough discussion about the potential of PLS and blockchain for 5G/xG systems. Next, we present our vision of a cross-layer architecture that leverages both PLS and blockchain in 5G/xG networks. Finally, we identify related challenges and open issues and shed light on future research directions.

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Section: Eve-exclusion Zone + An Designmentioning

confidence: 99%

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Ghourab¹,

Jaafar²,

Bariah³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Using an alternating optimization (AO) approach, they jointly optimized the secondary transmitter's beam-former and RIS phase-shifting, aiming to maximize the secondary SC performance. This work was extended in [99] to mmWave and imperfect CSI of the wiretap channel. The authors developed an AO method, and the simulation results showed that the worst-case ASR performance was very close to optimal.…”

Section: ) Cognitive Radio Networkmentioning

confidence: 99%

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Ghourab¹,

Jaafar²,

Bariah³

et al. 2023

Preprint

View full text Add to dashboard Cite

Fifth-generation and beyond (5G and xG) wireless networks are envisioned to meet the requirements of vertical applications like high traffic throughput, ultra-massive connectivity, extremely low latency, and high quality of service. Disruptive technologies, such as massive multiple-input multiple-output, millimeter wave, and multiple access are being deployed to meet these requirements. However, their deployment poses several challenges, including a lack of network transparency, management decentralization, and reliability. Moreover, the heterogeneity of future networks raises security concerns, e.g., confidentiality, privacy, and trustworthiness. Indeed, due to the emergence of novel paradigms, e.g., quantum computing, traditional security approaches are no longer sufficient to protect over-the-air communications. Hence, 5G/xG networks must consider smart security techniques to operate seamlessly and efficiently. Within this context, physical layer security (PLS) and blockchain represent promising solutions to complement existing methods. By exploiting the characteristics of wireless links, PLS can enhance the security of communications, while blockchain may enable networks' decentralization, integrity, and trustworthiness. Motivated by these advancements, we provide an in-depth review of the existing PLS and blockchain literature. Then, for the first time in the literature, we present a framework to integrate PLS with blockchain in 5G/xG systems. We first provide a thorough discussion about the potential of PLS and blockchain for 5G/xG systems. Then, we present our vision of a cross-layer architecture that leverages PLS and blockchain. Through a case study, we demonstrate the high potential of cross-layer design to improve the security of vehicular networks. Finally, we identify related challenges and shed light on future research directions.

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“…The physical layer security of an IRS-aided cacheenable satellite-terrestrial system is studied in [5] with the focus on the system secure transmission probability. Considering more complex IRS-aided multiple-input multiple-output (MIMO) systems [6], [7] or IRS-aided multiple-input singleoutput (MISO) systems in the presence of multiple eavesdroppers [8], [9], the joint beamforming design for the base station (BS) and IRS is achieved through traditional optimization approaches, i.e., the alternative optimization algorithm or the semidefinite relaxation method with the assumption of perfect channel state information (CSI) being available to the source node. In addition, the computational complexity of traditional optimization approaches may significantly increase when the size of IRS becomes larger.…”

Section: Introductionmentioning

confidence: 99%

Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach

Ngo¹,

Phan²,

Mahmood³

et al. 2023

Preprint

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This paper studies a secure satellite-terrestrial communication system assisted by a hybrid intelligent reflecting surface (IRS). The hybrid IRS, which composes of active and passive reflecting elements, is deployed to enhance the secure communication from the satellite to multiple users against multiple eavesdroppers. A joint design optimization problem for the satellite beamforming and the hybrid IRS interaction is formulated to maximize the system worst-case secrecy rate under time-varying channel conditions. With high system dynamic and complexity, deep reinforcement learning (DRL) is employed to solve the non-convex optimization problem. We propose a fast DRL algorithm, namely deep PDS-DPG, to obtain the robust secure beamforming design for satellite and hybrid IRS. Numerical results show a better learning efficiency of the proposed algorithm as to the state-of-the-art deep deterministic policy gradient (DDPG) algorithm with comparable system secrecy performance.

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Robust Secure Transmission Design for IRS-Assisted mmWave Cognitive Radio Networks

Cited by 30 publications

References 65 publications

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach

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