A5052938144- Advanced MIMO Systems Optimization
- Cooperative Communication and Network Coding
- Energy Harvesting in Wireless Networks
- Advanced Wireless Communication Technologies
- Full-Duplex Wireless Communications
- Wireless Communication Networks Research
- Advanced Wireless Communication Techniques
- Antenna Design and Analysis
- UAV Applications and Optimization
- Satellite Communication Systems
- Wireless Communication Security Techniques
- Wireless Power Transfer Systems
- Indoor and Outdoor Localization Technologies
- IoT and Edge/Fog Computing
- Cognitive Radio Networks and Spectrum Sensing
- Sparse and Compressive Sensing Techniques
- IoT Networks and Protocols
- Privacy-Preserving Technologies in Data
- Advanced Wireless Network Optimization
- Millimeter-Wave Propagation and Modeling
- Antenna Design and Optimization
- Age of Information Optimization
- PAPR reduction in OFDM
- Ultra-Wideband Communications Technology
- Energy Efficient Wireless Sensor Networks
Sun Yat-sen University
2016-2025
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2020-2024
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2020-2024
Jiangxi Mental Health Center
2012-2021
University of Hong Kong
2010-2020
Université du Québec à Montréal
2013-2016
Institut National de la Recherche Scientifique
2013-2016
Second Hospital of Nanchang
2016
Nanjing Medical University
2015
King Abdullah University of Science and Technology
2011-2012
Mobile edge computing helps healthcare Internet of Things (IoT) devices with energy harvesting provide satisfactory quality experiences for computation intensive applications. We propose a reinforcement learning (RL)-based privacy-aware offloading scheme to help IoT protect both the user location privacy and usage pattern privacy. More specifically, this enables device choose rate that improves performance, protects privacy, saves without being aware leakage, consumption, model. This uses...
Abstract Background New therapies are urgently needed for Alzheimer’s disease (AD). Sodium oligomannate (GV-971) is a marine-derived oligosaccharide with novel proposed mechanism of action. The first phase 3 clinical trial GV-971 has been completed in China. Methods We conducted 3, double-blind, placebo-controlled participants mild-to-moderate AD to assess efficacy and safety. Participants were randomized placebo or (900 mg) 36 weeks. primary outcome was the drug-placebo difference change...
While two-way communication can improve the spectral efficiency of wireless networks, distances from relay to two users are usually asymmetric, leading excessive energy at nearby user. To exploit energy, harvesting user terminals is a viable option. Unfortunately, exact gain brought by power transfer (WPT) in currently unknown. fill this gap, paper, achievable rate region wirelessly powered with fixed derived. Not only newly established result shown enclose existing channel without but also...
Far-field wireless power transfer (WPT) is a promising technique to resolve the painstaking power-charging problem inherent in various terminals. This paper investigates efficiency of WPT segment future communication systems support simultaneous and data transfer, by means analytically computing time-average output direct current (DC) at user equipments (UEs). In order investigate effect channel variety among UEs on average DC power, different policies for scheduling users are implemented...
This paper analyzes the spectral efficiency of massive multiple-input multiple-output (MIMO) systems in both centralized and distributed configurations, referred to as C-MIMO D-MIMO, respectively. By accounting for real environmental parameters antenna characteristics, namely, path loss, shadowing effect, multipath fading, correlation, a novel comprehensive channel model is first proposed closed-form, which applicable types MIMO schemes. Then, based on model, asymptotic behavior channel,...
While machine-type communication (MTC) devices generate considerable amounts of data, they often cannot process the data due to limited energy and computational power. To empower MTC with intelligence, edge machine learning has been proposed. However, power allocation in this paradigm requires maximizing performance instead throughput, for which celebrated water-filling max-min fairness algorithms become inefficient. end, paper proposes centric (LCPA), provides a new perspective on radio...
Since the electromagnetic spectrum resource is becoming more and scarce, improving spectral efficiency extremely important for sustainable development of wireless communication systems services. Integrating cooperative relaying techniques into spectrum-sharing cognitive radio sheds new light on higher efficiency. In this paper, we analyze end-to-end performance amplify-and-forward (AF) in systems. order to achieve optimal performance, transmit powers secondary source relays are optimized...
For cooperative amplify-and-forward (AF) relaying in spectrum-sharing wireless systems, secondary users share spectrum resources originally licensed to primary communicate with each other and, thus, the transmit power of transmitters is strictly limited by tolerable interference powers at receivers. Furthermore, received signals a relay and receiver are inevitably interfered from transmitters. These co-channel interferences (CCIs) concurrent transmission can significantly degrade performance...
With the development of maritime networks, data vessel users is growing exponentially, and more resource intensive tasks, such as multimedia applications, high-definition video playback games, appear in daily demands. These changes have greatly increased energy consumption bandwidth requirements terminals networks. In order to meet high low delay for high-speed mobile network, reduce network load, concept edge computing (MEC) proposed has been widely supported by academia industry. It...
This article performs a unified analysis of three coordinated multipoint (CoMP) transmission strategies in the downlink mmWave cellular networks, including fixed-number base station (BS) cooperation (FNC), fixed-region BS (FRC), and interference-aware (IAC). We first develop comprehensive framework for CoMP operation investigate network performance under Poisson point process (PPP) model together with spectrum. To show what fraction users achieve target reliability given signal to...
Relay transmission is promising for future wireless systems due to its significant cooperative diversity gain. The performance of dual-hop semi-blind amplify-and-forward (AF) relaying was extensively investigated, transmissions over Rayleigh fading channels or Nakagami-m with integer parameter. For the general arbitrary m values, exact closed-form system analysis more challenging. In this paper, we explicitly derive moment generation function (MGF), probability density (PDF) and moments...
A novel multi-hop cooperative relaying transmission is proposed, where neither the source nor relays have constant power supplies but rather scavenge energy from cochannel interferences (CCIs) and then use it for subsequent data transmission. The results show that, larger CCIs, usually detrimental to system performance, offer higher transmit each node benefit improving performance. Given a prescribed end-to-end (e2e) outage threshold, this letter identifies largest number of hops that...
This work investigates the energy-efficient resource allocation for layered-division multiplexing (LDM) based non-orthogonal multicast and unicast transmission in cell-free massive multiple-input multiple-output (MIMO) systems, where each user equipment (UE) performs wireless information power transfer simultaneously. To begin with, achievable data rates services are derived closed form, as well received radio frequency (RF) at UE. Based on analytical results, a nonsmooth nonconvex...
As the energy infrastructure of smart cities, grid upgrades traditional power systems with state-of-the-art information and communication technologies. In particular, as full deployment Internet Things in (a.k.a. or PIoT), newly introduced flow together inherent makes it more efficient for generation, transmission, distribution, consumption. To further exploit precious latest 5G technologies, this article boosts to add a value grid, mainly including created by innovative services market...
Federated learning (FL) enables wireless terminals to collaboratively learn a shared parameter model while keeping all the training data on devices per se. Parameter sharing consists of synchronous and asynchronous ways: former transmits parameters as blocks or frames waits until transmissions finish, whereas latter provides messages about status pending failed transmission requests. Whatever is applied, shall adapt distinct network architectures an improper will deteriorate performance and,...
In this paper, robust transceiver design with Tomlinson-Harashima precoding (THP) for multi-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying systems is investigated. At source node, THP adopted to mitigate the spatial intersymbol interference. However, due its nonlinear nature, very sensitive channel estimation errors. order reduce effects of errors, a joint Bayesian at source, linear forwarding matrices relays and equalizer destination proposed. With novel...
In this paper, a novel 3D cellular model consisting of aerial base stations (aBSs) and user equipments (aUEs) is proposed, by integrating the coordinated multi-point (CoMP) transmission technique with theory stochastic geometry. For new architecture, tractable for aBSs' deployment based on binomial-Delaunay tetrahedralization developed, which ensures seamless coverage given space. addition, versatile practical frequency allocation scheme designed to eliminate inter-cell interference...
In this correspondence, considering dual-hop channel state information (CSI)-assisted amplify-and-forward (AF) relaying over Nakagami- <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> fading channels, the cumulative distribution function (CDF) of end-to-end signal-to-noise ratio (SNR) is derived. particular, when shape factors <sub xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> and xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> at...
Activity detection in machine-type communication (MTC) has been recognized as an effective way to support massive connectivity of the Internet-of-Things (IoT) devices. However, due sporadic traffic pattern MTC, only a small portion potential devices are active, making activity challenging large-scale sparsity-constrained problem. On other hand, since low-cost IoT commonly equipped with cheap crystal oscillators, resulting frequency offsets would intensify multi-user interference during and...
Simultaneous wireless information and power transfer (SWIPT) has emerged as an appealing solution to prolonging the lifetime of low-power Internet Things (IoT) networks. Meanwhile, intelligent reflecting surface (IRS) can reconstruct a favorable propagation environment for IoT terminals achieve high spectrum energy efficiencies. To take full advantage these two technologies, this article studies optimization IRS-assisted multiple-input multiple-output (MIMO) orthogonal frequency division...
In Internet of Things (IoT) networks, edge learning for data-driven tasks provides intelligent applications and services. As the network size becomes large, different users may generate distinct datasets. Thus, to suit multiple large-scale IoT this paper considers efficient communication under a task-oriented principle by using collaborative design wireless resource allocation error prediction. particular, we start with multi-user scheduling alleviate co-channel interference in dense...
Mobile edge computing (MEC) has emerged in recent years as an effective solution to the challenge of limited vehicle resources Internet Vehicles (IoV), especially for computation-intensive tasks. This paper investigates a multi-user MEC system with active task model high-dynamic IoV scenarios. To improve performance regarding capacity, service delay, and energy consumption, we design adaptive joint resource allocation scheme based on deep reinforcement learning (DRL), which includes uplink,...
In this paper, the downlink performance of a distributed antenna system (DAS) with random layout is investigated. We address problem characterizing capacity generalized assumptions: (al) per power constraint, (a2) mobile terminals equipped multiple antennas, (a3) multi-cell environment. Based on scale-up, we derive good approximation ergodic by adopting matrix theory. also propose an iterative method to calculate unknown parameter in approximation. The illustrated be quite accurate and...
Aiming to achieve the sum-rate capacity in multi-user multi-antenna systems where N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">t</sub> antennas are implemented at transmitter, opportunistic beamforming (OBF) generates orthonormal beams and serves users during each channel use, which results high scheduling delay over users, especially densely populated networks. Non-orthogonal OBF with more than transmit can be exploited serve...
Tryptophan hydroxylase‑2 (TPH2) contributes to alterations in the function of neuronal serotonin (5‑HT), which are associated with various psychopathologies, including major depressive disorder (MDD) or suicidal behavior. The methylation a single CpG site promoter region TPH2 affects gene expression. Suicide and MDD strongly genetic factors at least partially responsible for variability suicide risk. aim present study was investigate whether variations peripheral blood samples may predispose...