Exploiting Impacts of Antenna Selection and Energy Harvesting for Massive Network Connectivity

Nguyen, Minh-Sang Van; Do, Dinh‐Thuan; Al‐Rubaye, Saba; Mumtaz, Shahid; Al‐Dulaimi, Anwer; Dobre, Octavia A.

doi:10.1109/tcomm.2021.3106099

Cited by 20 publications

(13 citation statements)

References 46 publications

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“…Meanwhile, non-orthogonal multiple access (NOMA) can significantly improve one criterion of 5G IoT system, i.e. the spectral efficiency [7]- [9]. In particular, NOMA-aided base station is able to simultaneous serve multiple users in the same channel.…”

Section: A Physical Layer Securitymentioning

confidence: 99%

A Deep Neural Network for Physical Layer Security Analysis in NOMA Reconfigurable Intelligent Surfaces-Aided IoT Systems

Do¹,

Le²,

Vahid³

et al. 2022

Preprint

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<p>We focus on the secure performance metrics at the legitimate users, i.e. secure outage probability (SOP) and secrecy capacity, to quantify the secrecy performance of NOMA-RIS-aided IoT systems. We assume the RIS is placed between the access point and the legitimate devices, and is expected to enhance the link security through the smart phase shift mechanism of metasurface elements in RIS. We first present analytical results for the SOP and secrecy capacity. Next, an iterative search algorithm is adopted to exhibit optimal SOP for further insights and analysis. In order to help the base station allocate power coefficients to NOMA users properly, an efficient deep-neural network (DNN)-based secure metric prediction scheme is adopted to achieve the secure performance. Our derivations and simulations indicate that the number of meta-surface elements of the RIS and the average signal-to-noise ratio at the base station contribute the most to the system performance enhancement. </p>

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Section: A Physical Layer Securitymentioning

confidence: 99%

A Deep Neural Network for Physical Layer Security Analysis in NOMA Reconfigurable Intelligent Surfaces-Aided IoT Systems

Do¹,

Le²,

Vahid³

et al. 2022

Preprint

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“…In addition to CBN, non-orthogonal multiple access (NOMA) is introduced as a potential direction for adapting the traffic flow of the data in 5G networks because of its spectrum efficiency [19]. NOMA architecture for multiple access is therefore much better than traditional Multiple Access Orthogonal (OMA) strategies whereby the networks for each orthogonal resource block are allowed to access by only one user (i.e., time slot, spread code, or frequency channel).…”

Section: A Related Workmentioning

confidence: 99%

“…We call P S as the average transmit power from the BS to serve transmission in the SN to limit interference to user P D [19]…”

Section: A System Architecturementioning

confidence: 99%

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Joint Design of Improved Spectrum and Energy Efficiency With Backscatter NOMA for IoT

Silva

et al. 2022

IEEE Access

Self Cite

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To develop emerging transmission techniques for potential applications of Internet of Things (IoT), the system performance analysis of a cognitive radio (CR)-enabled ambient backscatter (AmBC) system will be studied in this paper with functionality of non-orthogonal multiple access (NOMA). In the proposed scheme, a base station communicates with two destinations via a designated backscatter device. It is assumed that the relay node is fitted with two different interfaces and can simultaneously collect/decode and backscatter the received source signals. Such transmission mechanism benefits to design various applications in IoT as well as wireless systems with improved performance. To exhibit system performance metrics, the outage probability and the ergodic capacity of the recipient nodes are derived analytically. Furthermore, it is shown that employing AmBC NOMA together with CR for secondary communication can significantly improve overall network performance in terms of the achievable throughput in delaylimited and delay-tolerant modes and outage probability. Numerical results show that: 1) The proposed system can improve the spectrum efficiency by employing both CR and NOMA techniques; 2) Compared with the orthogonal multiple access (OMA)-aided AmBC systems, the considered CR AmBC system relying on NOMA can obtain better reliability in the whole range of SNR; 3) There are error floors for the outage probability in the high SNR regime due to required target rates; 4) There exists a trade-off between system performance of IoT devices and power allocation coefficients associated with NOMA; 5) We find energy efficiency factor as evident of further improvement in such system.

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“…The operation of RIS is similar to that of full-duplex relays. Compared to the traditional relaying techniques [4,5], RIS has two main benefits. Firstly, RIS consumes much less energy during reflection due to its operation as a passive device, thus avoiding power-hungry radio frequency processing.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Reflecting Surface Aided Wireless Systems with Imperfect Hardware

Nguyen

Munochiveyi

et al. 2022

Electronics

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In this article, we investigate the design of reconfigurable intelligent surface (RIS)-aided transmission as a smart method to reflect signals received from access points to users and, hence, improving users’ performance. To implement smart Internet of Things (IoT) networks, massive connectivity and low-cost deployment are essential in designing such systems. In particular, we consider two practical scenarios (dual-hop and single-hop transmissions). These scenarios highlight the potential of RIS in enhancing the system’s outage probability performance. Furthermore, to characterize channel conditions in practice, we pay particular attention to two-channel distributions that are non-central chi-square (NCCS) distributions that approximate the channel distribution of the RIS-aided wireless system and the squared KG distribution. In addition, the RIS-aided system may face imperfect hardware-related issues in practice. Therefore, we need to consider the degraded performance of practical RIS-aided systems by considering the detrimental impact of in-phase and quadrature-phase imbalance (IQI). To characterize the main system performance metric, we provide closed-form formulas of outage probability and ergodic capacity. We then evaluate system performance under the impacts of signal-to-noise ratio (SNR), the number of meta-surfaces, and channel parameters. All closed-form outage expressions are validated via Monte Carlo simulations. Simulation results indicate that the considered RIS scheme at dual-hop and single hop under the impact of IQI and RIS hardware impairment achieves significant improvements in terms of outage probability at high SNR and high meta-surface number N. Additionally, the simulation results demonstrate that the impact of IQI on the proposed system is limited. It is worth noting that, in terms of ergodic capacity, ergodic capacity faces an upper limit. Despite this limitation, the proposed system can still work well once some parameters are controlled well, such as the transmit SNR, levels of IQI, and the number of RIS components.

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Exploiting Impacts of Antenna Selection and Energy Harvesting for Massive Network Connectivity

Cited by 20 publications

References 46 publications

A Deep Neural Network for Physical Layer Security Analysis in NOMA Reconfigurable Intelligent Surfaces-Aided IoT Systems

A Deep Neural Network for Physical Layer Security Analysis in NOMA Reconfigurable Intelligent Surfaces-Aided IoT Systems

Joint Design of Improved Spectrum and Energy Efficiency With Backscatter NOMA for IoT

Intelligent Reflecting Surface Aided Wireless Systems with Imperfect Hardware

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