Search Results - "Lingjia Liu"
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Sensory neurons directly promote angiogenesis in response to inflammation via substance P signaling
Published in The FASEB journal (01-05-2020)“…Blood vessels and nerves travel together to supply most tissues in the body. However, there is a knowledge gap in the mechanisms underlying the direct…”
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Improving the Coverage and Spectral Efficiency of Millimeter-Wave Cellular Networks Using Device-to-Device Relays
Published in IEEE transactions on communications (01-05-2018)“…The susceptibility of millimeter waveform propagation to blockages limits the coverage of millimeter-wave (mmWave) signals. To overcome blockages, we propose…”
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3
Mobile-Edge Computing in the Sky: Energy Optimization for Air-Ground Integrated Networks
Published in IEEE internet of things journal (01-08-2020)“…Unmanned aerial vehicles (UAVs) are expected to be deployed as aerial base stations (BSs) in future wireless networks to provide extensive coverage and…”
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Proportional-Fair Resource Allocation for Coordinated Multi-Point Transmission in LTE-Advanced
Published in IEEE transactions on wireless communications (01-08-2016)“…Coordinated multi-point (CoMP) transmission and reception are introduced as a promising technology in the 3GPP LTE-advanced standard, to manage interference,…”
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On the Spectral and Energy Efficiency of Full-Duplex Small-Cell Wireless Systems With Massive MIMO
Published in IEEE transactions on vehicular technology (01-03-2017)“…The achievable rate of full-duplex (FD) small-cell systems with massive multiple-input multiple-output (MIMO), in which a low-power base station (BS) equipped…”
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6
Angle and Delay Estimation for 3-D Massive MIMO/FD-MIMO Systems Based on Parametric Channel Modeling
Published in IEEE transactions on wireless communications (01-08-2017)“…In order to meet the challenge of increasing data-rate demand as well as the form factor limitation of the base station (BS), 3-D massive multiple-input…”
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7
Energy Harvesting-Based D2D-Assisted Machine-Type Communications
Published in IEEE transactions on communications (01-03-2017)“…Supporting massive numbers of machine-type communication (MTC) devices poses several challenges for future 5G networks, including network control, scheduling,…”
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8
Big Data Meet Cyber-Physical Systems: A Panoramic Survey
Published in IEEE access (2018)“…The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which are foreseen to revolutionize our world via creating new services and…”
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9
DoA Estimation and Capacity Analysis for 3-D Millimeter Wave Massive-MIMO/FD-MIMO OFDM Systems
Published in IEEE transactions on wireless communications (01-10-2016)“…With the promise of meeting future capacity demands, 3-D massive-MIMO/full dimension multiple-input-multiple-output (FD-MIMO) systems have gained much interest…”
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10
Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM
Published in IEEE transaction on neural networks and learning systems (01-10-2018)“…Reservoir computing (RC) is a class of neuromorphic computing approaches that deals particularly well with time-series prediction tasks. It significantly…”
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11
Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach
Published in IEEE internet of things journal (01-04-2019)“…Dynamic spectrum access (DSA) is regarded as an effective and efficient technology to share radio spectrum among different networks. As a secondary user (SU),…”
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12
3D Spectrum Sharing for Hybrid D2D and UAV Networks
Published in IEEE transactions on communications (01-09-2020)“…In this paper, we study a three-dimensional (3D) spectrum sharing between device-to-device (D2D) and unmanned aerial vehicles (UAVs) communications. We…”
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13
Automated Residential Demand Response: Algorithmic Implications of Pricing Models
Published in IEEE transactions on smart grid (01-12-2012)“…Smart energy management is an important problem in Smart Grid network, and demand response (DR) is one of the key enabling technologies. If each home uses…”
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14
Energy-Efficient Resource Allocation for MIMO-OFDM Systems Serving Random Sources With Statistical QoS Requirement
Published in IEEE transactions on communications (01-11-2015)“…This paper optimizes resource allocation that maximizes the energy efficiency (EE) of wireless systems with statistical quality of service (QoS) requirement,…”
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15
ZEB1 Upregulates VEGF Expression and Stimulates Angiogenesis in Breast Cancer
Published in PloS one (16-02-2016)“…Although zinc finger E-box binding homeobox 1 (ZEB1) has been identified as a key factor in the regulation of breast cancer differentiation and metastasis, its…”
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16
Subspace Identification for DOA Estimation in Massive/Full-Dimension MIMO Systems: Bad Data Mitigation and Automatic Source Enumeration
Published in IEEE transactions on signal processing (15-11-2015)“…In this paper, the direction-of-arrival (DOA) estimation problem for massive multiple-input multiple-output (MIMO) systems with a two dimensional (2D) array…”
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17
Spatial Spectrum Sensing-Based Device-to-Device Cellular Networks
Published in IEEE transactions on wireless communications (01-11-2016)“…Ultra-densification is one of the main features of 5G networks. In an ultra-dense network, how to conduct interference management and spectrum allocation is a…”
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18
The Association between Rainfall and Taxi Travel Activities: A Case Study from Wuhan, China
Published in Journal of advanced transportation (23-05-2024)“…Rainfall has a significant impact on urban population mobility, posing great challenges to traffic management and urban planning. An understanding of this…”
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Spatiotemporal evolution analysis of OpenStreetMap buildings in the Yangtze River Delta of China based on Tree-like model
Published in Geocarto international (01-01-2024)“…OpenStreetMap (OSM) is one of the most successful and well-known projects in the field of Volunteered Geographic Information (VGI). It has not only become…”
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20
An Adaptive Capsule Network for Hyperspectral Remote Sensing Classification
Published in Remote sensing (Basel, Switzerland) (01-07-2021)“…The capsule network (Caps) is a novel type of neural network that has great potential for the classification of hyperspectral remote sensing. However, the Caps…”
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