On Performance of Low-Power Wide-Area Networks With the Combining of Reconfigurable Intelligent Surfaces and Relay

Tran, Phuong T.; Nguyen, Ba Cao; Hoang, Tran Manh; Nguyen, Tan N.

doi:10.1109/tmc.2022.3186394

Cited by 14 publications

(8 citation statements)

References 46 publications

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“…The single antenna source is placed at the origin (x S , y S ) = (0, 0), the destinations at (x D 1 , y D 1 ) = (100, 0), (x D 2 , y D 2 ) = (90, 0), and the three IRSs at (x I 1 , y I 1 ) = (40, 10), (x I 2 , y I 2 ) = (50, 10), (x I 3 , y I 3 ) = (60, 10) [36]. The power allocation factor χ 1 = 0.6 [34], the path-loss α = 2 [34], SNR γ = 30 (dB) and reflection coefficients η= 0.7, N 1 = N 2 = N 3 = 200 [30,33], while the Rician-K factor for all links from and to the IRS was 10 (dB) [36], Υ S = Υ D 1 = Υ D 2 = 0.05 [32]. We adopt the principle of Monte Carlo simulations as shown in Figure 2.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Ergodic Performance Analysis of Double Intelligent Reflecting Surfaces-Aided NOMA–UAV Systems with Hardware Impairment

Nguyen

Phan

et al. 2022

Drones

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In this work, we design an intelligent reflecting surface (IRS)-assisted Internet of Things (IoT) by enabling non-orthogonal multiple access (NOMA) and unmanned aerial vehicles (UAV) approaches. We pay attention to studying the achievable rates for the ground users. A practical system model takes into account the presence of hardware impairment when Rayleigh and Rician channels are adopted for the IRS–NOMA–UAV system. Our main findings are presented to showcase the exact expressions for achievable rates, and then we derive their simple approximations for a more insightful performance evaluation. The validity of these approximations is demonstrated using extensive Monte Carlo simulations. We confirm the achievable rate improvement decided by main parameters such as the average signal to noise ratio at source, the position of IRS with respect to the source and destination and the number of IRS elements. As a suggestion for the deployment of a low-cost IoT system, the double-IRS model is a reliable approach to realizing the system as long as the hardware impairment level is controlled. The results show that the proposed scheme can greatly improve achievable rates, obtain optimal performance at one of two devices and exhibit a small performance gap compared with the other benchmark scheme.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Here, Υ D i is associated with the distortion noises at D i . Then, the overall received signal at the user D i with multiple I IRSs is given as [30,33]…”

Section: S Dmentioning

confidence: 99%

Ergodic Performance Analysis of Double Intelligent Reflecting Surfaces-Aided NOMA–UAV Systems with Hardware Impairment

Nguyen

Phan

et al. 2022

Drones

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“…Non-orthogonal multiple access (NOMA) along with other advanced technologies such as deep learning [ 1 , 2 , 3 ], reconfigurable intelligent surfaces (RISs) [ 4 , 5 , 6 , 7 ], and tools from stochastic geometry (SG) [ 8 , 9 , 10 , 11 ] have been considered key-driven technologies for cellular networks beyond 5G, i.e., 5G-Advanced. More precisely, by allowing simultaneous transmit multiple signals within the same resource blocks (frequency and time) via different power levels and/or codes, NOMA can significantly enhance the spectral efficiency (SE) of the networks [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Multihop Full-Duplex NOMA Systems with Imperfect Interference Cancellation and Near-Field Path-Loss

Phan

Nguyen

et al. 2023

Sensors

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Outage probability (OP) and potential throughput (PT) of multihop full-duplex (FD) nonorthogonal multiple access (NOMA) systems are addressed in the present paper. More precisely, two metrics are derived in the closed-form expressions under the impact of both imperfect successive interference cancellation (SIC) and imperfect self-interference cancellation. Moreover, to model short transmission distance from the transmit and receive antennae at relays, the near-field path-loss is taken into consideration. Additionally, the impact of the total transmit power on the performance of these metrics is rigorously derived. Furthermore, the mathematical framework of the baseline systems is provided too. Computer-based simulations via the Monte Carlo method are given to verify the accuracy of the proposed framework, confirm our findings, and highlight the benefits of the proposed systems compared with the baseline one.

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“…In particular, the design of beamforming and reflecting coefficients was proposed to enhance the performance of RISs‐assisted mmWave communications. Additionally, RIS‐oriented mmWave design has shown great promise in overcoming the limitations of traditional beamforming techniques, providing more flexible and adaptable wireless connectivity 17–19 . Moreover, the mathematical analysis of RISs‐assisted mmWave communications was also conducted 13,20 .…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, RIS-oriented mmWave design has shown great promise in overcoming the limitations of traditional beamforming techniques, providing more flexible and adaptable wireless connectivity. [17][18][19] Moreover, the mathematical analysis of RISs-assisted mmWave communications was also conducted. 13,20 More specifically, the sum rate, outage probability, and throughput formulas of RISs-assisted mmWave communications were derived to analyze the system behaviors.…”

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confidence: 99%

Symbol error probability of mmWave communications with transmit antenna selection and RISs under the impacts of hardware impairments

Vinh

2023

Int J Communication

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SummaryIn practice, hardware impairments (HIs) often exist in wireless devices, especially in low‐cost device systems. However, previous reports usually ignored HIs due to the computational complexity in mathematical derivations, particularly in millimeter‐wave (mmWave) communications. This article proposes the usage of transmit antenna selection (TAS) and multiple reconfigurable intelligent surfaces (RISs) to address HIs in mmWave communications. In particular, TAS is utilized at the source to increase the received signal power at the destination and reduce the effects of HIs. Multiple channel gains from RISs are combined with the classical source‐destination channel gain at the destination. The symbol error probability (SEP) expression of the mmWave communications with TAS and RISs under the effects of HIs (shortened as the TAS‐RISs‐HIs communications) is formulated over Nakagami‐ channels and verified through Monte Carlo simulations. The effects of HIs on the SEP of TAS‐RISs‐HIs communications are demonstrated through numerical illustrations. Specifically, the SEP of the TAS‐RISs‐HIs communications is significantly higher than the SEP of the ideal hardware communications with TAS and RISs, especially in the high transmit power regime. As a result, ignoring HIs when evaluating the SEP of the mmWave communications can result in some inappropriate conclusions. Moreover, the joint and separate advantages of TAS and RISs are thoroughly analyzed when comparing the SEPs in the cases with and without TAS, with and without RISs.

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On Performance of Low-Power Wide-Area Networks With the Combining of Reconfigurable Intelligent Surfaces and Relay

Cited by 14 publications

References 46 publications

Ergodic Performance Analysis of Double Intelligent Reflecting Surfaces-Aided NOMA–UAV Systems with Hardware Impairment

Ergodic Performance Analysis of Double Intelligent Reflecting Surfaces-Aided NOMA–UAV Systems with Hardware Impairment

Performance Analysis of Multihop Full-Duplex NOMA Systems with Imperfect Interference Cancellation and Near-Field Path-Loss

Symbol error probability of mmWave communications with transmit antenna selection and RISs under the impacts of hardware impairments

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