Channel estimation is very challenging for multiple-input and multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in high mobility environments with non-stationarity channel characteristics. In order to handle this problem, we propose a deep learning (DL)-based MIMO-OFDM algorithm. By performing offline training the network, state information (CSI) generated by samples can be effectively utilized adapt characteristics of fast time-varying channels scenarios. The...

In this work, a parametric-based approach is proposed to perform joint range alignment and phase adjustment based on the intention of fully exploiting energy all scatterers in moving target two-dimensional coherent accumulation gain both azimuth compressions. To that end, first, translational motion modeled as polynomial signal, inspired by fact experience same history, difference operation keystone transform (KT) are utilized into one cell. Second, virtue fractional Fourier (FrFT),...

Aiming at the problem of high complexity and low feedback accuracy existing channel state information (CSI) algorithms for frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, this paper proposes a CSI compression algorithm based on deep learning (DL), which is suitable single-user multi-user scenarios in MIMO systems. This considers spatial correlation uses bidirectional long short-term memory (Bi-LSTM) convolutional (Bi-ConvLSTM) network to decompress...

With the rapid development of industrial automation and intelligence, consumption resources environmental impact production processes cannot today be ignored. Today, natural gas, as a commonly used energy source, produces significantly lower emissions carbon dioxide, sulphur nitrogen oxides from combustion than coal oil, can further purified to remove small amount impurities it contains, such compounds. Therefore, gas (hereinafter referred gas), clean plays an important role in realising...

Objective To evaluate the clinical efficacy of low-crosslinked hyaluronic acid (HA) injections in superficial fat layer for facial rejuvenation Chinese patients. Methods A total 30 patients were treated between July 2023 and October 2024, with three sessions HA spaced one month apart. The administered using fanning technique into layer. Patients followed up at months post-treatment. Skin improvements assessed smart skin analysis equipment, while overall aesthetic improvement was evaluated...

The safety helmet is the equipment that construction workers must wear, and it plays an important role in protecting their lives. However, there are still many who do not pay attention to wearing of helmets. Therefore, real-time high-precision intelligent detection workers’ crucial. To this end, paper proposes a lightweight helmet-wearing algorithm based on StarNet-YOLOv10. Firstly, StarNet network structure used replace backbone part original YOLOv10 model while retaining Spatial Pyramid...

With the deployment of fifth-generation (5G) mobile communication technology and rapid advancements in artificial intelligence edge computing, smart construction sites have emerged as a critical direction for industry’s transformation upgrading. However, existing intelligent Internet Things (IoT) access algorithms often struggle to simultaneously meet practical requirements high-efficiency data transmission rates, low latency, secure privacy-aware dynamic complex environments sites. To...

Heterogeneous network resources are expected to cooperate with each other support efficient data services in vehicular networks. However, current scheduling methods cannot efficiently exploit the benefit of heterogeneous wireless communication interfaces In this paper, we propose a software-defined based service architecture, which enables scheduler manage centralized way. We analyze heterogeneity both items and networks terms sizes features (e.g., cost, transmission rate, coverage, etc.),...

Multi-hop device-to-device (D2D) communications play an important role in expanding D2D coverage. In this paper, we study a relay-based and network-coding-assisted (in particular, XOR coding) multi-hop communication system. the system, toward jointly considering impact of interference network traffic conditions on quality communications, various channel fading models are investigated, packet loss probability links is meticulously computed using these models. With links, general closed-form...

This paper addresses the problem of channel estimation in 5G-enabled vehicular-to-vehicular (V2V) channels with high-mobility environments and non-stationary feature. Considering orthogonal frequency division multiplexing (OFDM) system, we perform extended Kalman filter (EKF) for conjunction Iterative Detector & Decoder (IDD) at receiver to improve accuracy. The EKF is proposed jointly estimating response time-varying time correlation coefficients. And IDD structure adopted reduce errors...

A multichannel radiometer frontend, which can improve the sensitivity and utilization of frequency band dramatically, is proposed based on principle bandwidth synthetic technology. The radiometer, called (MCBWSR), consists multiple conventional channels, bands all channels are synthesized by synthesizer before detector. reach a maximum sum bandwidths. operating also be selected flexibly using conversion An analysis ΔTsyn MCBWSR deduced in terms single-channel ΔTi. relationship between...

High-speed train (HST) and vehicle-to-vehicle (V2V), as typical scenes of 5G communication, have attracted extensive attention from academia industry in recent years. Aiming at the channel characteristics frequency-selective fading, fast time-varying time-domain non-stationary high mobility scenarios, a nonlinear Kalman filter-based high-speed estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems is proposed. We adopt basis expansion model (BEM) to eliminate...

With an appropriate geometric configuration, a helicopter-borne rotating synthetic aperture radar (ROSAR) can break through the limitations of conventional strip-map monostatic SAR on forward-looking imaging. Owing to such capability, ROSAR has extensive potential applications, as self-navigation and self-landing. Moreover, it many advantages if combined with frequency-modulated continuous wave (FMCW) technology. In this letter, novel platform configuration imaging algorithm for FMCW-ROSAR...

Cyber-physical systems (CPSs) are characterized by integrating computation, communication, and physical system. In typical CPS application scenarios, vehicle-to-vehicle (V2V) Industry Internet of Things (IIoT), due to doubly selective fading non-stationary channel characteristics, the robust reliable end-to-end communication is extremely important. Channel estimation a major signal processing technology ensure communication. However, existing methods for V2V IIoT cannot effectively reduce...

In this letter, we propose a deep Q-network (DQN)-based joint adaptive scheduling algorithm of modulation and coding scheme (MCS) space division multiplexing (SDM) in 5G massive MIMO-OFDM, that enables the next-generation NodeB (gNB) to choose optimal MCS SDM for downlink maximizes spectral efficiency (SE) throughput while low block error rate (BLER). The simulation results show typical high-speed mobile uplink interference scenarios, proposed DQN-based has 10% 40% improvement SE 20%...

In high-speed environments, the time and frequency selective (doubly-selective) channel which introduces inter-carrier interference (ICI) into OFDM system is a big challenge for receiver design. The cost of computation complexity eliminating ICI very high with traditional estimation methods. For decreasing doubly-selective estimation, base expansion model (BEM) could eliminate adopted in this paper to reduce space complexity. At same time, some classical interpolation algorithms based on BEM...

ChatGPT has piqued the interest of many fields, particularly in academic community. GPT-4, latest version, starts supporting multimodal input and output. This study examines social media posts to analyze how Chinese public perceives potential for educational general purposes. The also serves as first effort investigate changes opinion since release GPT-4. According analysis results, prior although some users believed that AI advancements would benefit education society, advanced AI, such...

In intelligent transportation systems (ITS), 5G NR-V2V communication is adopted to expand the connectivity and coverage of ITS applications, where data needs be processed directly in on-board units (OBUs) deployed vehicle meet ultra-reliable low latency (URLLC). However, rapid variation channel brings great challenges estimation V2V communication. recent years, based on deep learning can learn nonlinear characteristics channel, while requires a large amount training data, which cannot...

In this paper, a relay based network is considered where the source transmits confidential message to destination via nonregenerative relay. Due fact that unidentified, and thus may wiretap relayed from destination. regard, two new half-duplex nonorthogonal amplify-and-forward (NAF) secure communication protocols are proposed, with different assumptions on transmission ability of destination, i.e., NAF-I for without NAF-II ability. We separately derive sufficient necessary conditions yield...

6G vehicle-to-everything (V2X) communication will be combined with vehicle automatic driving technology and play an important role in driving. However, V2X systems, users have the characteristics of high-speed movement. Therefore, how to provide stable reliable wireless link quality improve channel gain has become a problem that must solved. To solve this problem, new multi-user scheduling algorithm based on block diagonalization (BD) precoding for ultra-massive multiple-input...