A5100771966- Advanced Wireless Communication Technologies
- Advanced Wireless Communication Techniques
- Cooperative Communication and Network Coding
- Wireless Communication Networks Research
- Error Correcting Code Techniques
- Advanced MIMO Systems Optimization
- Indoor and Outdoor Localization Technologies
- IoT Networks and Protocols
- Sparse and Compressive Sensing Techniques
- Wireless Signal Modulation Classification
- Millimeter-Wave Propagation and Modeling
- UAV Applications and Optimization
- PAPR reduction in OFDM
- Satellite Communication Systems
- Energy Efficient Wireless Sensor Networks
- Wireless Communication Security Techniques
- Opportunistic and Delay-Tolerant Networks
- Coding theory and cryptography
- IoT and Edge/Fog Computing
- Full-Duplex Wireless Communications
- Advanced Wireless Network Optimization
- Blind Source Separation Techniques
- Optical Wireless Communication Technologies
- Advanced Battery Materials and Technologies
- Service-Oriented Architecture and Web Services
Beijing Institute of Technology
2015-2025
Kunming University of Science and Technology
2024
Yantai University
2017-2023
Xiamen University
2019
Wuhan University of Technology
2018
China University of Geosciences (Beijing)
2018
Nanjing University of Posts and Telecommunications
2012
China Agricultural University
2011
Jiangyin People's Hospital
2010
Nanjing University of Aeronautics and Astronautics
2008
As a promising anode for aqueous batteries, Zn metal shows number of attractive advantages such as low cost, redox potential, high capacity, and environmental benignity. Nevertheless, the quick growth dendrites/protrusions on "hostless" anodes not only enlarges batteries' internal resistance but also causes sudden shorting failure by piercing separators. Herein, we report novel heterogeneous seed method to guide morphology evolution plated Zn. The seeds are sputtering-deposited...
Tactile Internet of Things (IoT) requires ultraresponsive and ultrareliable connections for massive IoT devices. As a promising enabler tactile IoT, grant-free nonorthogonal multiple access (NOMA) exploits the joint benefit transmissions to achieve low latency access. However, it suffers from reduced reliability caused by random interference. Hence, we formulate variational optimization problem improve NOMA. Due intractability this problem, resort deep learning parameterizing intractable...
Non-orthogonal multiple access (NOMA) will provide massive connectivity for future Internet of Things. However, the intrinsic non-orthogonality in NOMA makes it non-trivial to approach performance limit with only conventional communication-theoretic tools. In this paper, we resort deep multi-task learning end-to-end optimization NOMA, by regarding overlapped transmissions as distinctive but correlated tasks. First all, establish a unified neural network (DNN) framework namely DeepNOMA, which...
In smart grid, various kinds of sensors have been equipped in meters to collect real-time consumption data and execute the instructions from power management center, which leads a more robust customer-friendly grid system. However, enables two-way communication between electricity supplier users, brings security challenges grid. this paper, we propose lightweight authenticated scheme for ensures secure neighborhood gateway. Since proposed scheme, only need bitwise exclusive-OR operations...
Artificial intelligence (AI) has become a promising solution for meeting the stringent performance requirements on wireless physical layer in sixth-generation (6G) communication systems, due to its strong ability learn complex model, achieve end-to-end optimization and adapt dynamic environments. This article provides comprehensive review with respect artificial physical-layer technologies (AI4PHY). Specifically, we first analyze characteristics of classic AI techniques their potential...
In this letter, we exploit constellation rotation to enhance the performance of uplink non-orthogonal multiple access (NOMA) with a successive interference cancellation receiver. We characterize received signal Gaussian mixture model (GMM), where optimal angle is obtained by maximizing entropy GMM. Then, efficiently solve maximization problem deriving an closed-form approximate via variational approximation. Performance analysis and simulation results show that proposed scheme achieves...
In cellular distributed antenna systems, cooperation among base stations or remote units to exploit multiple-input multiple-output gains could mitigate interference as well provide more spatial diversity, which significantly improve overall spectrum efficiency. However, most existing schemes require perfect synchronization, is difficult and even impossible in practical multi-user systems. When synchronization not perfect, cooperative communication performance severely degrades. Orthogonal...
Non-orthogonal multiple access (NOMA) is a promising technique for future cellular networks. A major challenge in the uplink of grant-free NOMA to identify all active devices as well decode their data. In Internet Things (IoT), on-off activities are predictable various degrees. this letter, deep learning algorithm employed predict device current slot by exploiting history The prediction results applied input priors modified orthogonal matching pursuit (OMP) joint identification and data...
In this paper, we apply fountain codes to control the peak-to-average power ratio (PAPR) of orthogonal frequency-division multiplexing (OFDM) signals. The main key idea proposed scheme is based on fact that best fountain-coded OFDM packets can be generated with a low PAPR. Both theoretical analysis and simulation results prove effectively obtain desirable PAPR good throughput rateless codes. Moreover, flexibility controlling makes more suitable for implementing random frame sizes providing...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Low-density parity-check (LDPC) codes are playing more and important role in digital broadcasting standards due to their excellent error correction performance. In this paper, we study the combination of LDPC over GF(q) with q-ary modulations for bandwidth efficient transmission AWGN channel consider design codes. Specifically, develop concept quasi-regular codes, propose an improved Monte Carlo...
Enabling nonorthogonal multiple access (NOMA) in device-to-device (D2D) communications under the millimeter wave (mmWave) multiple-input multiple-output (MIMO) cellular network is of critical importance for 5G wireless systems to support low latency, high reliability, and throughput radio access. In this paper, closed-form expressions outage probability ergodic capacity downlink MIMO-NOMA mmWave with D2D are considered, which indicates that NOMA outperforms TDMA. The influencing factors...
In order to meet the tremendous requirements on convergence between broadband and broadcast, this paper proposes incorporate layered division multiplexing (LDM), an important variant of non-orthogonal multiple access (NOMA) technologies, into Millimeter wave (mmWave) multiple-input multiple-output (MIMO) system with device-to-device (D2D) communications simultaneously provide broadcast unicast services. The performance proposed full-duplex D2D-aided mmWave MIMO-NOMA randomly deployed users...
Wireless Sensor Networks (WSNs) suffer from enormous energy consumption when sensor nodes transmit data over long distances. Hence, this letter develops an Unmanned Aerial Vehicle (UAV)-assisted sparse sensing algorithm to address issue. Specifically, the are locally stored and sparsely sampled through Compressive Sensing (CS), while a UAV is utilized as mobile base station collect partial nodes. In proposed WSN system, minimization problem formulated combinatorial optimization problem,...
A companding-based transformation method is introduced to quasi-maximum-likelihood (ML) detectors, such as the QR-decomposition-based M-algorithm (QRD-M) and list sphere decoding, for coded multiple-input–multiple-output (MIMO) systems in this paper. The key idea of proposed companding technique compress (i.e., down-weight) dubious observation accumulated branch metric by taking into account its statistical characteristics so that, after companding, estimation error unreliable detected...
The rapid booming of future smart city applications and Internet things (IoT) has raised higher demands on the next-generation radio access technologies with respect to connection density, spectral efficiency (SE), transmission accuracy, detection latency. Recently, faster-than-Nyquist (FTN) nonorthogonal multiple (NOMA) have been regarded as promising achieve SE massive connections, respectively. In this paper, we aim exploit joint benefits FTN NOMA by superimposing FTN-based signals same...
Massive connectivity is one of the most challenging issues for Internet Things (IoT) to achieve quality service provisions required by numerous IoT devices. Non-orthogonal multiple access (NOMA) technology, where users multiplex on same radio resources, a promising candidate next generation wireless networks (the 5th Generation, 5G) and has been expected meet requirements high spectral efficiency massive connections 5G mobile communication systems. However, conventional downlink NOMA simply...
Millimeter wave (mmWave) multiple-input-multiple-output (MIMO) with hybrid beamforming enables high data rate broadband services for 5G. To further improve the spectral efficiency and connectivity, non-orthogonal multiple access (NOMA) has been considered to be integrated mmWave MIMO. Nonetheless, existing power-domain MIMO-NOMA narrow analog beams suffers from beam misalignments which deteriorate rates of misaligned users as well system fairness. Thereby, we propose a aggregation-based...
Midinfrared nonlinear optical (NLO) rare earth chalcogenides have attracted extensive research interest in recent several decades. Employing charge-transfer engineering strategy the early stage, rigid tetrahedral [GeS4] was introduced into rare-earth sulfides to synthesize KYGeS4, which had an enlarged band gap while maintaining a strong second harmonic generation (SHG) effect. Based on La equivalently substituted successfully KLaGeS4 with stronger SHG effect (dij = 1.2 × AgGaS2) and lower...
Spatiotemporal chaos control by applying local feedback injections is investigated analytically. The influence of gradient force on the controllability investigated. It shown that as system larger than a critical value, can reach very high efficiency to drive turbulent infinite size regular target state using single signal. complex Ginzburg-Landau equation used model confirm above analysis, and four-wave-mixing mode revealed determine dynamical behavior controlled at onset instability.
The processes $\ensuremath{\psi}(2S)\ensuremath{\rightarrow}\ensuremath{\gamma}{\ensuremath{\pi}}^{+}{\ensuremath{\pi}}^{\ensuremath{-}}$, $\ensuremath{\gamma}{K}^{+}{K}^{\ensuremath{-}}$, and $\ensuremath{\gamma}p\overline{p}$ have been studied using a sample of $3.79\ifmmode\times\else\texttimes\fi{}{10}^{6}\ensuremath{\psi}(2S)$ decays. We determine the total width ${\ensuremath{\chi}}_{c0}$ to be...