Power Domain Research Articles

Design of Power Location Coefficient System for 6G Downlink Cooperative NOMA Network

Cooperative non-orthogonal multiple access (NOMA) is a technology that addresses many challenges in future wireless generation networks by delivering a large amount of connectivity and huge system capacity. The aim of this paper is to design the varied distances and power location coefficients for far users. In addition, this paper aims to evaluate the outage probability (OP) performance against a signal-to-noise ratio (SNR) for a 6G downlink (DL) NOMA power domain (PD) and DL cooperative NOMA PD networks. We combine a DL cooperative NOMA with a 16 × 16, a 32 × 23, and a 64 × 64 multiple-input multiple-output (MIMO) and a 128 × 128, a 256 × 256, and a 512 × 512 massive MIMO in an innovative method to enhance OP performance rate and mitigate the power location coefficient’s effect for remote users. The results were obtained from Rayleigh fading channels using the MATLAB simulation software program. According to the outcomes, increasing the power location coefficients for the far user from 0.6 to 0.8 reduces the OP rate because increasing the power location coefficient for the far user decreases the power location coefficient for the near user, which results in less interference between them. In terms of the OP performance rate, the DL cooperative NOMA outperforms the NOMA. According to the findings, the DL cooperative NOMA OP rate outperforms the DL NOMA by a rate of 10−0.5. Whereas the 16 × 16 MIMO enhances the OP for the far user by 78.0 × 10−4, the 32 × 32 MIMO increases the OP for the far user by 19.0 × 10−4, and the 64 × 64 MIMO decreases the OP rate for the far user by 5.0 × 10−5. At a SNR of 10 dB, the 128 × 128 massive MIMO improves the OP for the far user by 1.0 × 10−5. The 256 × 256 massive MIMO decreases the OP for the far user by 43.0 × 10−5, and the 512 × 512 massive MIMO enhances the OP for the far user by 8.0 × 10−6. The MIMO techniques improve the OP performance, while the massive MIMO technology enhances the OP performance dramatically.

Deep Learning Based Power Allocation Schemes for NOMA System with Imperfect SIC

Non-orthogonal multiple access (NOMA) has been a promising technology for 5G communication system. NOMA allows more than one user to utilize the same resource at the same time, which can lead to high performance in terms of spectral efficiency, energy efficiency or fairness. NOMA enables power domain multiplexing and separates the multiplexed signal by using successive interference cancellation (SIC). Therefore, the full benefit of NOMA depends on power allocation. However, in practical system, residual interference caused by SIC process can severely degrade a system performance. In this paper, we propose two power allocation schemes based on deep learning to alleviate the effect of imperfect SIC for downlink NOMA system, including a deep learning-based sum rate power allocation scheme (DL-SRPAS) and a deep learning-based energy-efficient power allocation scheme (DL-EEPAS). our two proposed schemes learn two optimal power allocation schemes provided through exhaustive search. We search the solution of the optimization problems, where two optimization problems are formulated to maximize the sum rate and the energy efficiency subject to a minimum user data rate requirement. The simulation results verify that our two proposed schemes can alleviate the effect of imperfect SIC and outperform two conventional power allocation schemes which maximize the sum rate and the energy efficiency without considering imperfect SIC. In addition, our proposed schemes achieve near-optimal performance with very low computational time.

Hybrid 3DMA for multi-user MIMO-VLC

In this paper, we propose and investigate a hybrid three-dimensional multiple access (3DMA) scheme for multi-user multiple-input multiple-output visible light communication (MU-MIMO-VLC) systems that can fully exploit the 3D resources of the system including frequency, space, and power. Particularly, all users in the MU-MIMO-VLC system applying hybrid 3DMA are first divided into multiple user groups (UGs) in the spatial domain, and users within each UG are further divided into multiple user pairs (UPs) in the frequency domain. In each UP, two users are multiplexed in the power domain via superposition coding. Due to the efficient 3D resource allocation in the MU-MIMO-VLC system applying hybrid 3DMA, the available bandwidth of each user can be substantially increased. Moreover, the impact of error propagation caused by imperfect successive interference cancellation (SIC) is considered, and the optimal power allocation (OPA) strategy is also derived to maximize the achievable sum rate of each UP. The feasibility and superiority of the proposed hybrid 3DMA with OPA have been successfully verified by the obtained analysis and simulation results. It is shown that the achievable average sum rate of an indoor 4 × 4 MU-MIMO-VLC system can be substantially improved by applying the proposed hybrid 3DMA with OPA, in comparison to benchmark schemes such as orthogonal frequency division multiple access and space division multiple access. Moreover, it is further revealed that hybrid 3DMA with OPA exhibits high tolerance against imperfect SIC induced error propagation, which also shows excellent robustness and performance consistency to support multiple randomly located users.

Radio Resource Management for Eicic, Comp, Relaying and Back-hauls Techniques in LTE-advanced Networks: Concepts and a Literature Survey

Frequency reuse in cells is one of the strategies that LTE (Long Term Evolution) uses to maximize the spectrum efficiency. However, it leads to an interference among the cells, especially at the cell edges where the probability for a cell-edge user to be scheduled on a resource block that is being transmitted by the neighbouring cell is high; consequently, the interference is high. In-order to mitigate Inter-Cell Interference (ICI), Inter-Cell Interference Coordination (ICIC) was proposed by the Third Generation Partnership Project (3GPP) standards for the LTE network, and later on, the enhanced Inter-Cell Interference Coordination (eICIC) was proposed for the LTE-Advanced network. ICIC reduces cell-edge interference on traffic channels from neighbouring cells by the use of three interference reduction schemes that works in the power and frequency domain, and they are based on lowering the power of some channels to limit their reception to the users that are close to the base station, and by reducing the chance of frequency overlap. eICIC was proposed to handle ICI in Heterogeneous Network (HetNet) deployments. It reduces the interference on both the traffic and control channels. It uses power, frequency and also time domain to mitigate intra-frequency interference in HetNets. Another technique that was proposed by the 3GPP for the LTE-Advanced network that can reduce the ICI and improve the cell average and cell-edge user throughput is the Coordinated Multi-Point (CoMP) transmission/reception technique. CoMP can increase the cell average and cell edge user throughput in both the uplink and downlink transmission by joint scheduling and data processing in multiple cells/eNBs. Another technique that was proposed by the 3GPP for the LTE-Advanced network that can improve the LTE network coverage in difficult conditions is to deploy Relay Nodes (RNs). In this paper, we survey Radio Resource Management (RRM) for some of the techniques that are used with LTE-A. The included techniques in this paper are; the ICIC, eICIC, CoMP, Relaying and Back-hauls. We start by explaining the concepts of these techniques. Then, by summarizing the radio resource management approaches that were proposed in the literature for these techniques. And finally, we provide some concluding remarks in the last section.

Effect of Lesion of Central Amygdala on Heart Rate Variability in Albino Wistar Rats

Background and Aim: Heart rate variability (HRV) reflects the pre-frontal cortex (PFC) and amygdalar connections. HRV is also influenced by emotions, which is controlled by limbic system. Thus, amygdala-limbic connection is suggested to be the major integrator of HRV and the alterations in the regulation lead to cardiometabolic risks. The present study was conducted to assess the central amygdala in the heart rate variability in albino Wistar rats. Methods: A total of 8 albino Wistar rats were taken for the study. Stereotaxic procedure was performed and lesion was made into the central amygdalar nuclei bilaterally. HRV was assessed before and after lesion of central amygdala. Results: Following lesion of central amygdala, there was decrease in total power (TP), high frequency (HF), and other time domain indices of HRV, while there was increase in low frequency (LF) and LF-HF ratio. Conclusion: Lesion of central amygdala decreased TP indicating the crucial role of central amygdala in the control of HRV. The control of central amygdala on sympathovagal balance is profound.

POTENTIAL SOLUTIONS, CHALLENGES AND IMPLEMENTATION ISSUES FOR NOMA IN 5G COMMUNICATIONS

Non-Orthogonal Multiple Access (NOMA), a promising radio access technology for 5G and beyond networks, has recently attracted a lot of interest because of its higher spectral efficiency and capacity to serve multiple users simultaneously while maintaining the same time and frequency resources. 5G mobile networks will be able to accommodate at least 100 billion connections between devices, a 1000-fold growth in system capacity, improved coverage, high data rates, and ultra-low energy consumption. A base station (BS) can serve numerous users at the same time, frequency, and code resource thanks to NOMA, which implements multiple access (MA) by utilizing a new dimension - the power domain. One of the fundamental NOMA methods that performs successive interference cancellation (SIC) at the receiver and superposition coding (SC) at the transmitter is the power domain NOMA

LED non-linearity mitigation in a NOMA-OFDM VLC system using a union of precoder and companding

The power domain non-orthogonal multiple access (NOMA) has been considered as an outstanding candidate for 5G visible light communication networks. Due to the various salient features like robustness to multi-path fading, low latency, high compatibility with multiple input multiple output systems, etc. orthogonal frequency division multiplexing access (OFDM) is foreseen to exist in 5G systems. NOMA-based optical OFDM (O-OFDM) is expected to be a promising candidate for supporting high rate internet connectivity, especially for green indoor mobile networks. The OFDM waveform suffers from high PAPR issue. The high PAPR degrades the BER and also enhances the non-linearity in an O-OFDM system. In this paper, a hybrid technique using a blend of precoder with compander is implemented to reduce the PAPR of NOMA based DC-biased O-OFDM (DCO-OFDM) system. The proposed NOMA DCO-OFDM system exhibits a low PAPR of only 4.3 dB. Also, for a reference bit error rate of 10\(^{-4}\), the proposed technique displays an error vector magnitude of 13.2 dB.

Performance-Enhanced Optical Non-Orthogonal Multiple Access Enabled by Orthogonal Chirp Division Multiplexing

In this paper, we propose a novel optical non-orthogonal multiple access (NOMA) scheme based on orthogonal chirp division multiplexing (OCDM) in a low-cost intensity modulation and direct detection system for passive optical networks (PON). The proposed OCDM-NOMA scheme can effectively improve spectral efficiency and serve more users by multiplexing spectrally overlaid OCDM signals in power domain. Under the advantages of the chirp spread spectrum, the proposed OCDM-NOMA scheme can also enhance the bit error rate (BER) performance compared to NOMA scheme based on orthogonal frequency division multiplexing (OFDM). A 17.8 Gb/s OCDM-NOMA PON transmission over 25 km standard single-mode fiber is experimentally demonstrated. The results show that, when compared to OFDM-NOMA and precoding OFDM-NOMA, OCDM-NOMA can achieve receiver sensitivity gains of 1.3 dB and 0.5 dB for the high-power branch signal, and 1.4 dB and 0.6 dB for the low-power branch signal at a BER of 3.8×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−3</sup> . Furthermore, we investigate the feasibility of using higher-order modulation in NOMA technology for the first time to further improve data throughput and spectral efficiency. In a 22.2 Gb/s transmission, the optimal power division ratio is determined, and the transmission performance is investigated. According to the experimental results, OCDM-NOMA with higher-order modulation can be a promising candidate for next-generation PONs.

A Novel User Grouping Algorithm for Downlink NOMA

Non-orthogonal multiple access (NOMA) is one of the promising radio access techniques for resource allocation improvement in the (5th) generation of cellular networks. Compared to orthogonal multiple access techniques, NOMA offers extra benefits, including greater spectrum efficiency which is provided through multiplexing users in the transmission power domain while using the same spectrum resources non-orthogonally. Even though NOMA uses Successive Interference Cancellation to repeal the interference among users, user grouping has shown to have a substantial impact on its performance. This performance improvement can appear in different parameters such as system capacity, data rate, or power consumption. In this paper, we propose a novel user grouping scheme for sum-rate maximization which increases the sum rate by approximately 12–25% in comparison with random user grouping and two other authenticated recent works. In addition to being matrix-based and having a polynomial time complexity, the proposed method is also able to cope with users experiencing different channel gains and powers in different sub-bands. Moreover, the proposed scheme is scalable and can be used for any number of users and sub-bands.

Critical Multilingual Language Awareness Among Migrant Students: Cultivating Curiosity and a Linguistics of Participation

ABSTRACT This paper draws from a collaborative project in which we piloted a Critical Multilingual Language Awareness approach (CMLA) in a preparatory class for recently arrived secondary school students in Sweden. We adapted material on Language Awareness from We Are Multilingual (https://www.wamcam.org). This adapted approach followed the five principles of educational design for multilingual learners, which also relate to cognitive, performative, affective, social and power domains of Language Awareness. Data consist of audio- and video-recorded interactions from classroom observations, student/teacher interviews, and teaching/student-produced material. With a process-oriented focus, we discuss student participation in this co-learning design as contingent upon practices of curiosity. A focus is also on the co-learning process through reflection on activity, and how cultivating new ways of listening, involving multilingual study mentoring, may spur linguistic participation.

Modeling of NOMA-MIMO-Based Power Domain for 5G Network under Selective Rayleigh Fading Channels

The integration of multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) technologies is a hybrid technology that overcomes a myriad of problems in the 5G cellular system and beyond, including massive connectivity, low latency, and high dependability. The goal of this paper is to improve and reassess the bit error rate (BER), spectrum efficiency (SE) of the downlink (DL), average capacity rate, and outage probability (OP) of the uplink (UL) in a 5G network using MIMO. The proposed model utilizes QPSK modulation, four users with different power location coefficients, SNR, transmit power, and two contrasting bandwidths 80 and 200 MHz under selective frequency Rayleigh fading channels. The proposed model’s performance is evaluated using the MATLAB software program. The DL results found that the BER and SE against transmitted power showed the MIMO-NOMA enhanced the BER performance for the best user U4 from 10−1.7 to 10−5.2 at 80 MHz bandwidth (BW), and from 10−1.5 to 10−5 at 200 MHz for transmitting power of 40 dBm. In contrast, the SE performance for the best user U4 is enhanced from 24 × 10−3 to 25 × 10−3 bits/second/Hz at 80 MHz BW and from 19.8 × 10−3 to 20 × 10−3 bps/Hz at 200 MHz BW. Although the outcomes for the UL were obtained in terms of average capacity rate and OP versus SNR at 80, and 200 MHz BW, the MIMO-NOMA result showed that the average capacity rate for the best user U4 performance improves by 12 bps/Hz for 1 dB SNR and the OP is reduced by 15 × 10−3 for 80 MHz BW and by 12 × 10−3 for 200 MHz BW at an SNR of 0.17 dB. As the BW increased the BER, the average capacity rate increased while the SE and OP decreased. For both DL/UL NOMA with and without MIMO, closed-form expressions for BER, SE, average capacity rate, and OP were obtained. All users’ performance, even those whose connections were affected by interference or Rayleigh fading channels significantly improved, when MIMO-NOMA was implemented.

Affective contingencies of narcissism.

Several theories propose that narcissism is rooted in affective contingencies. Given narcissists' focus on power, these contingencies should be strong in the power domain but not in the affiliation domain. We systematically investigated narcissists' contingencies and explored whether these contingencies might link narcissism to social behavior. In a multimethod longitudinal study, we assessed unidimensional narcissism levels as well as two main narcissistic strategies: Admiration and rivalry. We measured 209 participants' affective contingencies (i.e., affective responses to satisfying and frustrating experiences of power and affiliation) via self-reports (n = 207) and facial electromyography (fEMG, n = 201). In a 1-year follow-up, we observed participants' power- and affiliation-related behaviors in the laboratory (valid n = 123). Results indicated that narcissism was linked to increased affective reactivity to power, and this pattern was present for both admiration and rivalry. Narcissism was unrelated to affective reactivity to affiliation, with an important exception: Individuals with higher levels of narcissistic rivalry exhibited decreased reactivity toward satisfactions and increased reactivity toward frustrations of affiliation. Results were more robust for self-reported than for fEMG-indexed reactivity. Although overall narcissism and narcissistic admiration were related to power-related behaviors 1 year later, affective contingencies did not generally account for these links. These findings inform why narcissists have a relatively strong power motive and why some narcissists high in rivalry have a relatively weak affiliation motive. More broadly, these findings provide insight into the affective contingencies underlying personality traits and call for research on the contexts in which these contingencies guide behavior. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The Psychological Processes and Consequences of Playing the Role of Producer versus Consumer

In advanced capitalist societies, it is necessary for people to play the role of producer and consumer. That is, whether they like doing it or not, many people spend much time and energy each day directly or indirectly producing commodities (e.g., goods, services) for sale as producers (workers), and purchasing and using up commodities produced by others (e.g., workers, companies) as consumers. We propose that these two economic roles, the backbone of the capitalist economy, embody distinct logics and orientations, and thus prescribe different mindsets and behaviors for the participating agent. Drawing on research from various fields, including management, marketing, sociology, and psychology, we suggest that production is extrinsic-oriented (focused on pleasing others) and embraces “ethic of labor” (e.g., perseverance, duties), whereas consumption is intrinsic-oriented (focused on pleasing self) and embraces “aesthetic of play” (e.g., self-indulgence, comfort) (Baudrillard, 1975; Humphreys & Grayson, 2008). We then consider how these different logics and orientations might relate to and shape people’s attitudes and behaviors in domains of social power, motivation, well-being, social identity, and self-construal. Finally, we explore the implications of this framework for the study of justice. By exploring the psychological processes and consequences of people playing the role of producer versus consumer, the present paper seeks to extend the existing work that has paid relatively little attention to the psychological aspects of the two economic roles. More generally, by exploring this relatively understudied topic, the present paper aims to serve as a guidepost for future research.

The B737 MAX 8 Accidents as Operational Experiences With Automation Transparency

Automation transparency has come into prominence in the human-machine systems literature, with researchers offering definitions, models, design frameworks, and empirical findings. Missing from the literature are reflections on the actual operational experiences of human crews interacting with automation conceived from different transparency perspectives. The Boeing 737 MAX 8 accidents present a tragic case of a catastrophic failure of automation transparency. We explore this case with an emphasis on extracting design and regulatory insights for the nuclear power and other safety-critical domains.

Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface Under Imperfect CSI

This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks. In the presence of eavesdroppers, the downlink communication from the base station to the legitimate users is safeguarded by the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS), where three practical operating protocols, namely energy splitting (ES), mode selection (MS), and time splitting (TS), are studied. The joint optimization of power allocation, active and passive beamforming is investigated to maximize the secrecy energy efficiency (SEE), taking into account the imperfect channel state information (CSI) of all channels. For ES, by approximating the semi-infinite constraints with the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathcal {S}$</tex-math></inline-formula> -procedure and general sign-definiteness, the problem is solved by an alternating optimization framework. Besides, the proposed algorithm is extended to the MS protocol by solving a mixed-integer non-convex problem. While for TS, a two-layer iterative method is proposed. Simulation results show that: 1) The proposed STAR-RIS assisted NOMA networks are able to provide up to 33.6% higher SEE than conventional RIS counterparts; 2) TS and ES protocols are generally preferable for low and high power domain, respectively; 3) The accuracy of CSI estimation and the bit resolution power consumption are crucial to reap the SEE benefits offered by STAR-RIS.

Energy Efficiency Maximization for Hybrid TDMA-NOMA System With Opportunistic Time Assignment

In this paper, we consider an energy efficient resource allocation technique for a hybrid time division multiple access (TDMA) - non-orthogonal multiple access (NOMA) system. In such a hybrid system, the available time for transmission is divided into several sub-time slots, and a sub-time slot is allocated to serve a group of users (i.e., cluster). Furthermore, signals for the users in each cluster are transmitted based on the NOMA approach. With NOMA, multiple users can be served simultaneously through utilizing power domain multiplexing at transmitter and successive interference cancellation (SIC) at receiver. In this paper, to maximize the energy efficiency (EE), we jointly allocate both the available time slots and the available transmit power in the hybrid TDMA-NOMA system. In particular, we formulate an EE maximization (EE-Max) problem aiming to maximize the overall EE of the system with a per-user minimum rate and transmit power constraints. However, this joint optimization problem is non-convex in nature, and thus, cannot be solved directly. Therefore, we develop an iterative algorithm by approximating the original problem into a convex one with sequential convex approximation (SCA) and a novel second-order cone (SOC) approach. Simulation results demonstrate that the performance of the proposed hybrid TDMA-NOMA system with joint resource allocation outperforms the system with equal time allocation in terms of the overall EE. Simulation results further confirm that the proposed iterative approaches with SCA and SOC techniques converge within a few number of iterations while yielding the solution to the original non-convex problem.

Digital Domain Power Division Multiplexing Optical OFDM for Free Space Optical Communication (FSOC) Using 10-GHz Bandwidth Optical Components

We put forward and provide the first illustration of a high capacity and high spectral efficient free space optical communication (FSOC) system using digital domain power division multiplexing orthogonal-frequency-division-multiplexed (DDPD-O-OFDM) signal utilizing 10-GHz class optical components. In the proof-of-concept demonstration, a data rate of 2 × 30.8 Gbit/s can be achieved for each polarization multiplexed wavelength channel, fulfilling the pre-forward-error-correction bit-error-ratio (pre-FEC BER = 3.8 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−3</sup> ). By employing the DDPD-O-OFDM here, the FSOC per channel capacity can be enhanced not only allowing the spectral overlapping of different orthogonal subcarriers, as in the case of OFDM; but also allowing channel multiplexing in the power domain to increase the spectral efficiency. The principle of DDPD-O-OFDM is discussed; and BER and signal-to-noise ratio (SNR) of different DDPD channels are experimentally measured.

Enhanced performance analysis with exact solutions for downlink-NOMA system in vehicular communications

This research presents an enhanced performance analysis process for the power domains of downlink-NOMA systems for vehicular communication over Rayleigh fading channels. We derived exact closed-form expressions of outage probability (OP), bit error rate (BER), outage capacity (OC), and average channel capacity (AVC) by using binary phase-shift keying (BPSK) modulation. All channel parameters required for downlink-NOMA system performance analysis were combined. The theoretical and simulation results perfectly confirmed one another. The obtained results were then compared with results from the literature, based on similar parameters. It was found that the proposed system increased the performance by 34 times for OP at SNR=15 dB, 92% and 22% for BER at SNR=24 dB, and 59% for AVC at SNR=30 dB. Finally, this study introduces exact solutions that will greatly accelerate NOMA system analysis by exploiting information in the existing database for analytical design processes based on communication theory.

Performance analysis of ACO-OFDM NOMA for VLC communication

Visible light communication (VLC) has been seeking much attention in recent years due to its high bandwidth, low cost, and ease of implementation. VLC can be used for illumination as well as communication at the same time. Light emitting diode (LED) acts as a transmitter for data transmission, and photo detector is used on the receiver side. Intensity Modulation (IM) converts an electrical signal into an optical signal, where only real and positive signals need to be transmitted. Optical orthogonal frequency division multiplexing (O-OFDM) is used in the VLC to enhance the bandwidth limitation due to LED. Using O-OFDM for VLC does not provide massive connectivity in a multi-user environment. Nonorthogonal multiple access (NOMA) is the further expansion where the user can use both the time and frequency resources but distinguished in the power domain with successive interference cancellation (SIC) at the receiver to decode the signal of each user. Also, Asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM) for NOMA is used to get the positive signal with enhanced spectral efficiency. The proposed method was analyzed by considering simulations and analytical results for LOS and NLOS communication.

IGBT Fault Prediction Combining Terminal Characteristics and Artificial Intelligence Neural Network.

The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and energy domains because of its high input impedance and minimal on-voltage drop. IGBTs are frequently used in industrial applications for lengthy periods of time, collecting fatigue damage and eventually aging and failing, which can result in system shutdown and financial losses in severe circumstances. As a result, a study into the IGBT's reliability is extremely important. Fault prediction technology, which is an important aspect of reliability research, may analyze device state through changes in terminal parameters, anticipate aging trends, and issue early warnings at thresholds to avoid significant safety issues caused by IGBT aging failures. Therefore, the appropriate end parameters are selected as aging characteristic parameters, and fault prediction is performed. Therefore, this paper has carried out research on the IGBT fault prediction technology that integrates the terminal characteristics and artificial intelligence neural network. The main research contents include the following: (1) this paper starts from the basic principle of IGBT and the structure of its device and analyzes its failure mode on the failure of IGBT. The characteristic parameter of collector-emitter turn-off peak voltage value is selected for IGBT fault prediction, and the aging data of NASA PCoE Research Center is used to verify that the characteristic parameter can be used for fault prediction. (2) In view of the shortcomings of traditional fault forecasting methods, this paper proposes to use deep learning time series forecasting methods for fault forecasting. The LSTM is theoretically analyzed, and the prediction network is built. The experimental results show that the LSTM network model can improve the accuracy of IGBT fault prediction, with fewer parameters and higher prediction efficiency.