Search Results - "CHANG, YING"
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1
Eigenvalue-based spectrum sensing algorithms for cognitive radio
Published in IEEE transactions on communications (01-06-2009)“…Spectrum sensing is a fundamental component in a cognitive radio. In this paper, we propose new sensing methods based on the eigenvalues of the covariance…”
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2
Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems
Published in IEEE transactions on wireless communications (01-10-2023)“…Channel acquisition is one of the main challenges for the deployment of reconfigurable intelligent surface (RIS) aided communication systems. This is because…”
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3
Spectrum Sharing for Internet of Things: A Survey
Published in IEEE wireless communications (01-06-2019)“…The Internet of Things (IoT) is a promising paradigm to accommodate massive device connections in 5G and beyond. To pave the way for future IoT, spectrum…”
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4
Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks
Published in IEEE transactions on wireless communications (01-05-2020)“…Reconfigurable intelligent surfaces (RIS) is a promising solution to build a programmable wireless environment via steering the incident signal in fully…”
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5
Modulation in the Air: Backscatter Communication Over Ambient OFDM Carrier
Published in IEEE transactions on communications (01-03-2018)“…Ambient backscatter communication (AmBC) enables radio-frequency (RF) powered backscatter devices (BDs) (e.g., sensors and tags) to modulate their information…”
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6
Active Reconfigurable Intelligent Surface-Aided Wireless Communications
Published in IEEE transactions on wireless communications (01-08-2021)“…Reconfigurable Intelligent Surface (RIS) is a promising solution to reconfigure the wireless environment in a controllable way. To compensate for the…”
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7
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
Published in IEEE Communications surveys and tutorials (01-01-2020)“…This paper presents a literature review on recent applications and design aspects of the intelligent reflecting surface (IRS) in the future wireless networks…”
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8
Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing
Published in IEEE transactions on wireless communications (01-09-2022)“…Mobile edge computing can effectively reduce service latency and improve service quality by offloading computation-intensive tasks to the edges of wireless…”
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9
Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed
Published in IEEE wireless communications (01-04-2020)“…Since 5G new radio comes with non-standalone (NSA) and standalone (SA) versions in 3GPP, research on 6G has been on schedule by academics and industries…”
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10
Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks
Published in IEEE transactions on wireless communications (01-11-2019)“…Heterogeneous cellular networks can offload the mobile traffic and reduce the deployment costs, which have been considered to be a promising technique in the…”
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11
Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances
Published in IEEE transactions on vehicular technology (01-05-2009)“…Spectrum sensing, i.e., detecting the presence of primary users in a licensed spectrum, is a fundamental problem in cognitive radio. Since the statistical…”
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12
Energy-Efficient UAV Backscatter Communication With Joint Trajectory Design and Resource Optimization
Published in IEEE transactions on wireless communications (01-02-2021)“…Backscatter communication which enables wireless-powered backscatter devices (BDs) to transmit information by reflecting incident signals, is an energy- and…”
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13
Deep CM-CNN for Spectrum Sensing in Cognitive Radio
Published in IEEE journal on selected areas in communications (01-10-2019)“…One of the key problems in spectrum sensing is to design the test statistic. Existing methods generally exploit the model-based features as the test statistic,…”
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14
Cooperative Ambient Backscatter Communications for Green Internet-of-Things
Published in IEEE internet of things journal (01-04-2018)“…Ambient backscatter communication (AmBC) enables a passive backscatter device to transmit information to a reader using ambient RF signals, and has emerged as…”
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15
Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security
Published in IEEE access (2019)“…In this paper, we introduce an intelligent reflecting surface (IRS) to provide a programmable wireless environment for physical layer security. By adjusting…”
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16
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Published in IEEE Communications surveys and tutorials (01-01-2019)“…This paper presents a comprehensive literature review on applications of deep reinforcement learning (DRL) in communications and networking. Modern networks,…”
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17
DOA and Polarization Estimation for Non-Circular Signals in 3-D Millimeter Wave Polarized Massive MIMO Systems
Published in IEEE transactions on wireless communications (01-05-2021)“…In this article, a multiple signal classification (MUSIC) based algorithm is proposed for two-dimensional (2-D) direction-of-arrival (DOA) and polarization…”
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18
Constellation Learning-Based Signal Detection for Ambient Backscatter Communication Systems
Published in IEEE journal on selected areas in communications (01-02-2019)“…Ambient backscatter communication (AmBC) is a promising solution to energy-efficient and spectrum-efficient Internet of Things with stringent power and cost…”
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19
Intelligent Reflecting Surface-Assisted Cognitive Radio System
Published in IEEE transactions on communications (01-01-2021)“…Cognitive radio (CR) is an effective solution to improve the spectral efficiency (SE) of wireless communications by allowing the secondary users (SUs) to share…”
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20
Joint Optimization of Handover Control and Power Allocation Based on Multi-Agent Deep Reinforcement Learning
Published in IEEE transactions on vehicular technology (01-11-2020)“…In this paper, we study the handover (HO), and power allocation problem in a two-tier heterogeneous network (HetNet), which consists of a macro base station,…”
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