Intelligent Reflecting Surface Assisted NOMA With Heterogeneous Internal Secrecy Requirements

Li, Na; Li, Meng; Liu, Yuanwei; Yuan, Chaoying; Tao, Xiaofeng

doi:10.1109/lwc.2021.3058768

Cited by 28 publications

(7 citation statements)

References 15 publications

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“…Since the relaxed problem is a convex problem, a closed-form solution of Q or explicit expression with respect to Q can be derived in its dual domain. Then the feasibility check can be done by leveraging the ranks product inequalities technique [36]. If the rank constraint is not satisfied, a Gaussian randomization procedure can be employed to extract a feasible solution [37].…”

Section: A Sdr Methodsmentioning

confidence: 99%

Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods

Li¹,

Wang²,

Li³

et al. 2022

Preprint

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Reconfigurable intelligent surfaces (RISs) have a revolutionary capability to customize the radio propagation environment for wireless networks. To fully exploit the advantages of RISs in wireless systems, the phases of the reflecting elements must be jointly designed with conventional communication resources, such as beamformers, transmit power, and computation time. However, due to the unique constraints on the phase shift, and massive numbers of reflecting units and users in large-scale networks, the resulting optimization problems are challenging to solve. This paper provides a review of current optimization methods and artificial intelligence-based methods for handling the constraints imposed by RIS and compares them in terms of solution quality and computational complexity. Future challenges in phase shift optimization involving RISs are also described and potential solutions are discussed. I. INTRODUCTIONIt is well-known that line-of-sight (LoS) propagation is a desirable but rarely occurring scenario for wireless communications. Traditional techniques for addressing this issue is to deploy more

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Section: A Sdr Methodsmentioning

confidence: 99%

Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods

Li¹,

Wang²,

Li³

et al. 2022

Preprint

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“…Furthermore, a new interference exploitation based jamming strategy is proposed to enhance security of NOMA networks in [19]. Thanks to the IRS's ability of reconfiguring wireless channels intelligently, it is expected to further improve the PLS performance [20]- [28]. The authors of [20] and [21] first studied the possibility of security improvement by integrating IRS into wireless networks, which confirmed the huge potential of IRS assisted PLS communication.…”

Section: Introductionmentioning

confidence: 91%

“…In NOMA networks, IRS also needs to achieve the tradeoff between guaranteeing the successful SIC decoding and the user channel strengthening/suppressing, because the SIC decoding usually limits the channel strength of the user with higher decoding priority, which may result in that some legitimate channels are weaker than eavesdropping channels and lead to degraded network security. Although there were a handful of works devoted to the secure IRS assisted NOMA transmissions [27], [28], only the instantaneous eavesdropping CSI available scenario was considered. Unfortunately, acquiring the instantaneous CSI of a passive eavesdropper is much difficult in practice since it tends to hide itself from legitimate nodes.…”

Section: A Motivations and Contributionsmentioning

confidence: 99%

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Securing NOMA Networks by Exploiting Intelligent Reflecting Surface

Zhang¹,

Chen²,

Wu³

et al. 2021

Preprint

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This paper investigates the security enhancement of an intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) network, where a distributed IRS enabled NOMA transmission framework is proposed to serve users securely in the presence of a passive eavesdropper. Considering that eavesdropper's instantaneous channel state information (CSI) is challenging to acquire in practice, we utilize secrecy outage probability (SOP) as the security metric. A problem of maximizing the minimum secrecy rate among users, subject to the successive interference cancellation (SIC) decoding constraints and SOP constraints, by jointly optimizing transmit beamforming at the BS and phase shifts of IRSs, is formulated. For special case with a single-antenna BS, we derive the exact closed-form SOP expressions and propose a novel ring-penalty based successive convex approximation (SCA) algorithm to design power allocation and phase shifts jointly. While for the more general and challenging case with a multiantenna BS, we adopt the Bernstein-type inequality to approximate the SOP constraints by a deterministic convex form. To proceed, an efficient alternating optimization (AO) algorithm is developed to solve the considered problem. Numerical results validate the advantages of the proposed algorithms over the baseline schemes. Particularly, two interesting phenomena on distributed IRS deployment are revealed: 1) the secrecy rate peak is achieved only when distributed IRSs share the reflecting elements equally; and 2) the distributed IRS deployment does not always outperform the centralized IRS deployment, due to the tradeoff between the number of IRSs and the reflecting elements equipped at each IRS.

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“…Therefore, by applying NOMA technology to the MIoT system, more smart devices will access to the network under the limited spectrum resources, thus the transmission capacity of the entire system can be increased. However, the connection scale and transmission performance in NOMA systems largely depends on the resource allocation scheme [18]. Moreover, heterogeneous network (HetNet) [19], as a promising network infrastructure in 5G, can not only enhance the network capacity and user experience of the edge cell, but also reduce coverage blind spots and improve the transmission performance of communication systems.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Resource Allocation for NOMA-Based Heterogeneous 5G Mine Internet of Things

2022

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The Mine Internet of Things (MIoT), as an application paradigm of the IoT in mine environment, realizes the state perception and information interaction by connecting massive smart sensing devices deployed in mine, plays an important role in coal mine production. The fifth-generation (5G) is a key enabling technology to provide an efficient and reliable communication link guarantee for MIoT networks. To meet the increasing demand for huge amounts of data transmission, a NOMA-based heterogeneous MIoT communication system is proposed. In this paper, different types of mine smart devices can occupy the same subchannel resources for data transmission by the NOMA technology, which improves the device access and spectrum utilization of the MIoT system. We aim to maximize the energy efficiency (EE) of all small cell networks via power allocation and subchannel assignment. Under the imperfect channel state information (CSI), a joint power allocation and subchannel assignment iterative algorithm is proposed. Specifically, firstly, by considering the cross-layer interference power constraints, maximum power constraints and QoS constraints, the EE optimization problem is formulated as a mixed integer nonlinear fractional programming problem. Secondly, the uncertain CSI is modeled as an elliptical uncertainty set, and the original problem is transformed into an equivalent convex optimization form by using the Dinkelbach method. Finally, an approximate solution is obtained by using the Lagrangian dual approach. The numerical results validate the effectiveness of the proposed algorithm and significantly show its superior performance as compared with the baseline algorithms.INDEX TERMS Coal mine, 5G, internet of things (IoT), non-orthogonal multiple access (NOMA), heterogeneous network (HetNet), energy efficient, imperfect channel state information

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Intelligent Reflecting Surface Assisted NOMA With Heterogeneous Internal Secrecy Requirements

Cited by 28 publications

References 15 publications

Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods

Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods

Securing NOMA Networks by Exploiting Intelligent Reflecting Surface

Energy-Efficient Resource Allocation for NOMA-Based Heterogeneous 5G Mine Internet of Things

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