scholarly journals Effective Capacity Analysis of NOMA Networks with Short Packets

2021 ◽  
Vol 11 (23) ◽  
pp. 11438
Author(s):  
Xiurong Zhang ◽  
Xinwei Yue ◽  
Shaoli Kang
Keyword(s):  
Error Probability ◽  
Signal To Noise Ratio ◽  
Transmission Error ◽  
Effective Capacity ◽  
Low Latency ◽  
High Signal ◽  
Capacity Analysis ◽  
Energy Internet ◽  
Planning And Design ◽  
Asymptotic Expressions

Low latency and a massive connection have become the requirements of energy internet wireless communication. Effective capacity analysis of non-orthogonal multiple access (NOMA) networks with short packets is of vital importance in energy internet communication planning and design. Low-latency communications are one of the main application scenarios in next-generation wireless networks. This paper focuses on the effective capacity of NOMA networks, where the finite blocklength, delay exponent, and transmission error probability are taken into account. New exact and asymptotic expressions of effective capacities are derived for arbitrarily ordered users with a finite blocklength. Based on the analytical results, the high Signal-to-Noise Ratio slopes of effective capacity in NOMA networks are carefully attained. The numerical results validate that (a) non-orthogonal users are capable of obtaining a larger effective capacity when the blocklength decreases, and that (b), as the value of the error probability and delay exponent increases, the effective capacity of non-orthogonal users worsens.

Performance Analysis of AF Relaying Systems with Partial Relay Selection

2014 ◽  
Vol 945-949 ◽  
pp. 2262-2265
Author(s):  
Hong Zhang ◽  
Dong Lai Hao ◽  
Hai Yang Ding
Keyword(s):  
Relay Selection ◽  
Error Probability ◽  
Signal To Noise Ratio ◽  
High Signal ◽  
Amplify And Forward ◽  
Symbol Error Probability ◽  
Partial Relay Selection ◽  
Asymptotic Expressions ◽  
Asymptotic Curves ◽  
Relaying Systems

In this Letter, assuming a Nakagami-m fading scenario, closed-form asymptotic expressions for the average symbol error probability (ASEP) of dual-hop amplify-and-forward (AF) cooperative systems with partial relay selection are derived. Based on these expressions, the diversity order is obtained and insightful conclusions are drawn. Numerical results are plotted and the asymptotic curves match very well in the medium and high signal-to-noise ratio (SNR) regions with those obtained by simulations.

scholarly journals Upper Bound on the Bit Error Probability of Systematic Binary Linear Codes via Their Weight Spectra

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jia Liu ◽  
Mingyu Zhang ◽  
Chaoyong Wang ◽  
Rongjun Chen ◽  
Xiaofeng An ◽  
...  
Keyword(s):  
Upper Bound ◽  
Error Probability ◽  
Linear Codes ◽  
Signal To Noise Ratio ◽  
Additive White Gaussian Noise ◽  
High Signal ◽  
Binary Linear Codes ◽  
Enumerating Function ◽  
Bit Error Probability ◽  
Better Than

In this paper, upper bound on the probability of maximum a posteriori (MAP) decoding error for systematic binary linear codes over additive white Gaussian noise (AWGN) channels is proposed. The proposed bound on the bit error probability is derived with the framework of Gallager’s first bounding technique (GFBT), where the Gallager region is defined to be an irregular high-dimensional geometry by using a list decoding algorithm. The proposed bound on the bit error probability requires only the knowledge of weight spectra, which is helpful when the input-output weight enumerating function (IOWEF) is not available. Numerical results show that the proposed bound on the bit error probability matches well with the maximum-likelihood (ML) decoding simulation approach especially in the high signal-to-noise ratio (SNR) region, which is better than the recently proposed Ma bound.

scholarly journals Capacity Analysis of IRS-Based UAV Communications with Imperfect Phase Compensation

2021 ◽  
Author(s):  
MOHAMMAD AHMAD Al-Jarrah ◽  
Emad Alsusa ◽  
Arafat Al-Dweik ◽  
Daniel K. C. So
Keyword(s):  
Signal To Noise Ratio ◽  
Phase Error ◽  
Random Variable ◽  
System Capacity ◽  
High Signal ◽  
Capacity Analysis ◽  
Capacity Loss ◽  
Von Mises ◽  
Reflecting Surfaces ◽  
Incident Waves

<div>This paper presents the capacity analysis of unmanned aerial vehicles (UAVs) communications supported by flying intelligent reflecting surfaces (IRSs). In the considered system, some of the UAVs are equipped with an IRS panel that applies certain phase-shifts to the incident waves before being reflected to the receiving UAV. In contrast to existing work, this letter considers the effect of imperfect phase knowledge on the system capacity, where the phase error is modeled as a von Mises random variable with parameter k. Analytical results, corroborated by Monte Carlo simulations, show that the achievable capacity is dependent on the phase error, however, the capacity loss becomes negligible at high signal-to-noise ratio (SNR) and when k>6.</div>

scholarly journals Performance Evaluation of UAV-Based NOMA Networks with Hardware Impairment

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 94
Author(s):  
Chung Ho Duc ◽  
Sang Quang Nguyen ◽  
Chi-Bao Le ◽  
Ngo Tan Vu Khanh
Keyword(s):  
System Performance ◽  
Performance Metrics ◽  
Signal To Noise Ratio ◽  
Ergodic Capacity ◽  
High Signal ◽  
Performance Loss ◽  
Hardware Impairments ◽  
Asymptotic Expressions ◽  
Aerial Vehicle ◽  
Hardware Impairment

In this paper, we evaluate the outage performance of a non-orthogonal multiple access (NOMA)-enabled unmanned aerial vehicle (UAV) where two users on the ground are simultaneously served by a UAV for a spectral efficiency purpose. In practice, hardware impairments at the transceiver cause distortion noise, which results in the performance loss of wireless systems. As a consequence, hardware impairment is an unavoidable factor in the system design process. Hence, we take into account the effects of hardware impairment (HI) on the performance of the proposed system. In this setting, to evaluate the system performance, the closed-form expressions of the outage probability of two NOMA users and the ergodic capacity are derived as well as their asymptotic expressions for a high signal-to-noise ratio (SNR). Finally, based on Monte-Carlo simulations, we verify the analytical expressions and investigate the effects on the main system parameters, i.e., the transmit SNR and level of HI, on the system performance metrics. The results show that the performance for the near NOMA user is better than of that for the far NOMA user in the case of perfect hardware; however, in the case of hardware impairment, an inversion happens at a high transmit power of the UAV in terms of the ergodic capacity.

scholarly journals Capacity Analysis of IRS-Based UAV Communications with Imperfect Phase Compensation

2021 ◽  
Author(s):  
MOHAMMAD AHMAD Al-Jarrah ◽  
Emad Alsusa ◽  
Arafat Al-Dweik ◽  
Daniel K. C. So
Keyword(s):  
Signal To Noise Ratio ◽  
Phase Error ◽  
Random Variable ◽  
System Capacity ◽  
High Signal ◽  
Capacity Analysis ◽  
Capacity Loss ◽  
Von Mises ◽  
Reflecting Surfaces ◽  
Incident Waves

<div>This paper presents the capacity analysis of unmanned aerial vehicles (UAVs) communications supported by flying intelligent reflecting surfaces (IRSs). In the considered system, some of the UAVs are equipped with an IRS panel that applies certain phase-shifts to the incident waves before being reflected to the receiving UAV. In contrast to existing work, this letter considers the effect of imperfect phase knowledge on the system capacity, where the phase error is modeled as a von Mises random variable with parameter k. Analytical results, corroborated by Monte Carlo simulations, show that the achievable capacity is dependent on the phase error, however, the capacity loss becomes negligible at high signal-to-noise ratio (SNR) and when k>6.</div>

A compact guided-wave EMAT with pulsed electromagnet for ferromagnetic tube inspection

2020 ◽  
Vol 64 (1-4) ◽  
pp. 951-958
Author(s):  
Tianhao Liu ◽  
Yu Jin ◽  
Cuixiang Pei ◽  
Jie Han ◽  
Zhenmao Chen
Keyword(s):  
Power Plants ◽  
Signal To Noise Ratio ◽  
Small Diameter ◽  
Performance Testing ◽  
Guided Wave ◽  
High Signal ◽  
Receiver Coil ◽  
Signal To Noise ◽  
Corrosion Defects

Small-diameter tubes that are widely used in petroleum industries and power plants experience corrosion during long-term services. In this paper, a compact inserted guided-wave EMAT with a pulsed electromagnet is proposed for small-diameter tube inspection. The proposed transducer is noncontact, compact with high signal-to-noise ratio and unattractive to ferromagnetic tubes. The proposed EMAT is designed with coils-only configuration, which consists of a pulsed electromagnet and a meander pulser/receiver coil. Both the numerical simulation and experimental results validate its feasibility on generating and receiving L(0,2) mode guided wave. The parameters for driving the proposed EMAT are optimized by performance testing. Finally, feasibility on quantification evaluation for corrosion defects was verified by experiments.

Application of Novel Low Current OBIRCH Amplifier and Nanoprobing to Identify Subtle Leakages in Advanced Node Technologies

2018 ◽  
Author(s):  
Satish Kodali ◽  
Liangshan Chen ◽  
Yuting Wei ◽  
Tanya Schaeffer ◽  
Chong Khiam Oh
Keyword(s):  
Signal To Noise Ratio ◽  
Semiconductor Industry ◽  
Fault Isolation ◽  
Ring Oscillator ◽  
High Signal ◽  
The Novel ◽  
Resistance Change ◽  
Three Samples ◽  
Relative Threshold ◽  
First Time

Abstract Optical beam induced resistance change (OBIRCH) is a very well-adapted technique for static fault isolation in the semiconductor industry. Novel low current OBIRCH amplifier is used to facilitate safe test condition requirements for advanced nodes. This paper shows the differences between the earlier and novel generation OBIRCH amplifiers. Ring oscillator high standby leakage samples are analyzed using the novel generation amplifier. High signal to noise ratio at applied low bias and current levels on device under test are shown on various samples. Further, a metric to demonstrate the SNR to device performance is also discussed. OBIRCH analysis is performed on all the three samples for nanoprobing of, and physical characterization on, the leakage. The resulting spots were calibrated and classified. It is noted that the calibration metric can be successfully used for the first time to estimate the relative threshold voltage of individual transistors in advanced process nodes.

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