The inherent broadcast characteristics of the visible light communication (VLC) channel makes VLC downlinks susceptible to unauthorized terminals in many actual scenarios, such as offices and shopping centers. This paper considers a multiple-input-single-output (MISO) scenario with multiple fixtures acting transmitter, receiver legitimate user, an eavesdropper attempting intercept undisclosed information. To improve confidentiality links, physical-layer anti-eavesdropping framework is...

The dense deployment of small cells in 5G cellular networks raises the issue controlling downlink inter-cell interference under time-varying channel states. In this paper, we propose a reinforcement learning based power control scheme to suppress and save energy for ultra-dense cells. This enables base stations schedule transmit without knowing distribution states neighboring A deep algorithm is designed further accelerate with large number active users. Analytical convergence performance...

In this letter, we present a novel hybrid intensity modulation and direct detection communication system, which integrates asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM) on-off keying (OOK) schemes. First, the negative ACO-OFDM is proposed based on conventional system to accommodate case with current in OOK modulation, while can match off modulation. Therefore, combines schemes, signals be recovered at receiver support different qualities of service high...

Narrow-band interference (NBI) and impulsive noise (IN) are two kinds of non-Gaussian that have a severe impact on vehicular communications. In this paper, novel compressive sensing (CS)-based method simultaneous NBI IN mitigation is proposed, which double kill the unfavorable disturbances. A CS-based time-frequency-measuring orthogonal frequency-division multiplexing (CS-TFM-OFDM) frame structure introduced, in temporal repeated training sequences (TSs) exploited by proposed differential...

In the next generation of cellular networks, millimeter wave (mmWave) communications will play an important role. With utilization mmWave communications, massive multiple-input multiple-output (MIMO) technique can be effectively employed, which significantly improve system capacity. However, effective channel estimation scheme is prerequisite stability and in great need for improvement MIMO systems. this paper, a based on training sequence (TS) design optimization with high accuracy spectral...

Unmanned aerial vehicles (UAVs) that are widely utilized for video capturing, processing and transmission have to address jamming attacks with dynamic topology limited energy. In this paper, we propose a reinforcement learning (RL)-based UAV anti-jamming scheme choose the compression quantization parameter, channel coding rate, modulation power control strategies against attacks. More specifically, applies RL policy based on observed task priority, UAV-controller state received power. This...

Narrowband Internet-of-Things (NB-IoT) is one of the emerging 5G technologies, but might introduce narrowband interference (NBI) to existing broadband systems, such as long-term evolution advanced (LTE-A) systems. Thus, mitigation NB-IoT LTE-A an important issue for harmonic coexistence and compatibility between 4G 5G. In this paper, a newly emerged sparse approximation technique, block Bayesian learning (BSBL), utilized estimate in The representation NBI constituted through proposed...

A new approach of channel estimation for multiantenna systems is put forward in this paper, which can be adopted high-mobility situations such as high speed trains. The impulse response abstracted three domains to improve the modeling accuracy. Both time-domain preamble and frequency-domain pilot are orthogonal frequency division multiplexing (OFDM) frame. First, training time domain exploited obtain partial common support channel. Then, location optimized by genetic algorithm employed build...

Introduction: Endometriosis is a chronic gynecological disorder that significantly impacts women of reproductive age. Recent evidence suggests bidirectional link between endometriosis and brain functional networks, though the causal mechanisms remain unclear. This study aims to explore these relationships using Mendelian Randomization (MR) analysis. Methods: Data from 191 resting-state MRI (rsfMRI) phenotypes genetic datasets were analyzed both forward reverse MR approaches. Genetic...

This study investigates the modification of carrier dynamics in nanoscale multiple quantum wells (MQWs) through B+ ion implantation, combining experimental and theoretical approaches to provide a comprehensive understanding impact on ultrafast optoelectronic responses. Using femtosecond time-resolved transient absorption (TA) spectroscopy, we examine changes both pristine B+-implanted In0.25Ga0.75As/GaAs0.9P0.1 MQWs. Our results reveal significant modifications spectra, with implantation...

Narrowband internet-of-things (NB-IoT) is a competitive 5G technology for massive machine-type communication scenarios, but meanwhile introduces narrowband interference (NBI) to existing broadband transmission such as the long term evolution (LTE) systems in enhanced mobile (eMBB) scenarios. In order facilitate harmonic and fair coexistence wireless heterogeneous networks, it important eliminate NB-IoT LTE systems. this paper, novel sparse machine learning based framework combinatorial...

In this paper, a novel narrowband interference (NBI) cancelation scheme based on priori aided compressive sensing (CS) for digital terrestrial multimedia broadcasting systems is proposed. The repeated training sequences in the transmitted symbols are exploited by differential measuring to acquire CS vector of NBI, and joint acquisition NBI support priori. Using proposed sparsity adaptive matching pursuit algorithm, sparse high-dimensional can be accurately reconstructed from much smaller...

With the rapid development of light emitting diode (LED), visible communication (VLC) becomes an important technique for information transmission including underwater applications. However, accurate channel estimation VLC is still challenging due to complex environment channel. In this paper, by utilizing a proper approximation, where attenuation linear with frequency, new compressive sensing (CS) based approach proposed. Utilizing sparse property reflection path length channel, CS framework...

Power line communication (PLC) techniques present a no extra wire solution for the purpose in smart grid due to ubiquity and low cost. Moreover, through-the-grid property of PLC has naturally extended its possible applications, including but not limited automatic meter reading, quality monitoring, online diagnostics, network tomography. To guarantee performance communications as well other applications systems, accurate channel state information (CSI) acquisition should be performed...

Recently, visible light positioning and communication are becoming a promising technology for integrated sensing communication. However, the isolated design of has limited system efficiency performance. In this article, (VIPAC) framework is formulated, in which task service channel estimation into unified architecture. First, multi-task learning architecture, composed sparsity-aware shared network two task-oriented sub-networks, proposed to fully exploit inherent sparse features channels,...

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems have to address smart jammers that use radio devices choose the jamming policy with goal of interrupting ongoing transmissions. In this paper, we propose a reinforcement learning based power control strategy for downlink mmWave MIMO systems. More specifically, present fast hill-climbing algorithm base station transmit over multiple antennas. Based on signal-to-interference-plus-noise ratio (SINR) signals and...

In this paper, an optimal interleaving scheme with maximum time-frequency diversity is proposed to combat against the narrowband interference (NBI) and time-domain impulsive noise for orthogonal frequency-division multiplexing (OFDM) systems in power-line communications (PLC). To improve anti-NBI anti-TIN performance, we propose two criteria based on which optimized designed: 1) increase number of different OFDM blocks one forward error correction (FEC) codeword, aimed at TIN mitigation 2)...

This letter proposes a novel doubly selective channel estimation scheme based on structured compressive sensing (SCS) for time-frequency training orthogonal frequency division multiplexing systems. By exploiting the proposed pilot pattern, an SCS model is built by utilizing jointly sparse property of coefficient vectors corresponding to expansion bases. The can be recovered through adaptive support-aware block matching pursuit algorithm. Simulation results demonstrate that has superior...

The deep convolutional neural network (CNN) is exploited in this work to conduct the challenging channel estimation for mmWave massive multiple input output (MIMO) systems. inherent sparse features of MIMO channels can be extracted and supports learnt by multi-layer CNN-based through training. Then accurate inference efficiently implemented using trained network. accuracy spectrum efficiency further improved fully utilizing spatial correlation among different antennas. It verified simulation...