- Advanced Wireless Communication Technologies
- Energy Harvesting in Wireless Networks
- Cooperative Communication and Network Coding
- Optical Wireless Communication Technologies
- Wireless Communication Security Techniques
- Indoor and Outdoor Localization Technologies
- Advanced MIMO Systems Optimization
- Satellite Communication Systems
- PAPR reduction in OFDM
- Cloud Computing and Resource Management
- Energy Efficient Wireless Sensor Networks
- Robotics and Sensor-Based Localization
- IoT Networks and Protocols
- Software-Defined Networks and 5G
- UAV Applications and Optimization
- IoT and Edge/Fog Computing
- Wireless Body Area Networks
- Optical measurement and interference techniques
- 3D Surveying and Cultural Heritage
- Security in Wireless Sensor Networks
- Ocular Disorders and Treatments
- Cryptography and Data Security
- Age of Information Optimization
- Caching and Content Delivery
- Molecular Communication and Nanonetworks
Macau University of Science and Technology
2018-2025
Delft University of Technology
2023
National Taiwan University
2023
Jinan University
2022
Institute of Hydrobiology
2022
Fujian Agriculture and Forestry University
2019
Korea Advanced Institute of Science and Technology
2015-2018
ORCID
2016-2018
Jeonbuk National University
2012-2014
Chonbuk National University Hospital
2012
In this paper, we propose a novel scheme termed layered orthogonal frequency division multiplexing with index modulation (L-OFDM-IM) to increase the spectral efficiency (SE) of OFDM-IM systems. L-OFDM-IM, all subcarriers are first divided into multiple layers, each determining active and their modulated symbols. The (IM) bits carried on indices which overlapped distinguishable different signal constellations so that number IM is larger than in traditional OFDM-IM. A low-complexity detection...
The development of Internet Vehicles (IoVs) have introduced more intrusions to the vulnerabilities in-vehicle network. It is important detect network anomaly for purpose driving safety. previous studies either focus on one-dimension behavior or looks into semantics network, which neither effective nor efficient vehicle pilot. In this paper, we propose a literal multi-dimensional detection approach using distributed long-short-term-memory (LSTM) framework especially Control Area Network...
With the widespread use of Internet Things (IoT), edge computing has recently emerged as a promising technology to tackle low-latency and security issues with personal IoT data. In this regard, many works have been concerned resource allocation server, some studies conducted pricing schemes for additionally. However, few attempted address comparison among various kinds schemes. addition, their limitations such fairness on differentiated To these limitations, article considered three dynamic...
Quadrature spatial modulation (QSM) is recently proposed to increase the spectral efficiency (SE) of SM, which extends transmitted symbols into in-phase and quadrature domains. In this paper, we propose a generalized QSM (GQSM) scheme further SE by activating more than one transmit antenna in or domain. A low-complexity detection for GQSM provided mitigate burden optimal maximum-likelihood (ML) method. An upper bounded bit error rate analyzed discover system performance GQSM. Moreover,...
Index modulation multiple access (IM-MA) is recently proposed to exploit the IM concept uplink system, where users transmit their own signals via selected time slots. However, computational complexity of optimal maximum-likelihood (ML) detection in IM-MA tremendously high when number or slots large. In this letter, we propose a low-complexity method for IM-MA, which inspired by log likelihood ratio (LLR) algorithm. addition, because heavy search burden all LLR values, further suboptimal...
Orthogonal frequency division multiplexing with index modulation (OFDM-IM) transmits additional information bits through the indices of active subcarriers. In this paper, we explore potential an improvement OFDM-IM by reusing inactive subcarriers to transmit signals for a secondary system. We consider cognitive radio network assisted OFDM-IM, where primary user (PU) its signal receiver, and (SU) senses idle spectrum own receiver via those By either combining transmitted from SU or not,...
As a novel variant of spatial modulation (SM), enhanced SM (ESM) provides higher spectral efficiency and improved bit error rate (BER) performance compared to SM. In ESM, traditional signal detection methods such as maximum likelihood (ML) have the drawback high complexity. Therefore, in this paper, we try solve problem using deep neural network (DNN). Specifically, propose block DNN (B-DNN) structure, which smaller B-DNNs are utilized identify active antennas along with constellation...
Recently, state-of-the-art text-to-image generation models, such as Flux and Ideogram 2.0, have made significant progress in sentence-level visual text rendering. In this paper, we focus on the more challenging scenarios of article-level rendering address a novel task generating high-quality business content, including infographics slides, based user provided descriptive prompts ultra-dense layouts. The fundamental challenges are twofold: significantly longer context lengths scarcity content...
In this letter, we propose a novel communication scheme that combines intelligent reflecting surface (IRS) with generalized space shift keying (GSSK), where the IRS adjusts phase according to incoming bits at any specific time slot and multiple antennas are selected receiver convey index signals. Besides, practical pre-greedy aided maximum likelihood (PGML) detector is proposed supplement IRS-aided received GSSK (IRS-RGSSK) system lower complexity compared (ML) better error performance...
The reconfigurable intelligent surface (RIS)-aided vehicle road cooperation (VRC) scheme is a promising technique. However, the security issue of RIS-VRC systems still crucial problem due to high connectivity multiple vehicles under broadcasting environment. Within this study, based on potential system, novel low-complexity consecutive artificial noise (CAN) with legal channel state information (CSI) and low-cost spectral-efficient secure index modulation (IM) design physical layer (PLS)...
CMIMO is an effective approach to increase throughput and energy efficiency through the collaboration of individual antennas working together as a virtual multi-antenna system. Several strategies have been propounded major candidates for achieving green communications in wireless sensor networks. Compared conventional MIMO, provides significant gains terms flexibility. Recently, more advanced cooperation proposed improve performance by using emerging techniques such spatial modulation...
Object detection in point clouds is a critical component most autonomous driving systems. In this paper, order to improve the effectiveness of image feature extraction and accuracy clouds, pillar-based 3D cloud object algorithm with multiattention mechanism proposed, which includes three attention mechanisms SOCA, SOPA, SAPI. The results show that recognition optimized for cars, pedestrians, cyclists on KITTI dataset significantly improved benchmarks BEV 3D. Despite using only LiDAR, our...
Wireless body area networks (BANs) have attracted enormous attention due to the promising applications in healthcare systems. Energy saving is one of major challenges wireless BANs, because sensors operating on or inside a human are energy limited. As applying cooperative communications offers saving, it necessary utilize sensor devices jointly BANs form communication. In this paper, consumption models transmission strategies built over in- and on-body communication links for direct relay...
A wireless communication scheme named as the reconfigurable intelligent surface (RIS) assisted generalized space-shift keying (GSSK) based antennas selection (RIS-GKAS) is designed in this article. In scheme, GSSK works at receiver and reflected elements RIS can be adjusted to achieve passive beamforming for maximize signal-to-noise ratio. This proposed applied a city with plenty of buildings. Specifically, considered an access point received are into specific array beamforming. Besides,...
Depth estimation is requisite to build 3D perceiving capability of artificial intelligence things (AIoT). Real-time inference with extremely low computing resource consumption critical on edge devices. However, most single-view depth networks focus the improvement accuracy running high-end GPUs, which go opposite real-time requirement To address this issue, article proposed a novel encoder-decoder network realize monocular The merges semantic information at global field via an efficient...