Search Results - "CHANG, YING"

Refine Results
  1. 1

    Eigenvalue-based spectrum sensing algorithms for cognitive radio by YONGHONG ZENG, LIANG, Ying-Chang

    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…”
    Get full text
    Journal Article
  2. 2

    Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems by Chen, Jie, Liang, Ying-Chang, Cheng, Hei Victor, Yu, Wei

    “…Channel acquisition is one of the main challenges for the deployment of reconfigurable intelligent surface (RIS) aided communication systems. This is because…”
    Get full text
    Journal Article
  3. 3

    Spectrum Sharing for Internet of Things: A Survey by Zhang, Lin, Liang, Ying-Chang, Xiao, Ming

    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…”
    Get full text
    Journal Article
  4. 4

    Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks by Guo, Huayan, Liang, Ying-Chang, Chen, Jie, Larsson, Erik G.

    “…Reconfigurable intelligent surfaces (RIS) is a promising solution to build a programmable wireless environment via steering the incident signal in fully…”
    Get full text
    Journal Article
  5. 5

    Modulation in the Air: Backscatter Communication Over Ambient OFDM Carrier by Yang, Gang, Liang, Ying-Chang, Zhang, Rui, Pei, Yiyang

    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…”
    Get full text
    Journal Article
  6. 6

    Active Reconfigurable Intelligent Surface-Aided Wireless Communications by Long, Ruizhe, Liang, Ying-Chang, Pei, Yiyang, Larsson, Erik G.

    “…Reconfigurable Intelligent Surface (RIS) is a promising solution to reconfigure the wireless environment in a controllable way. To compensate for the…”
    Get full text
    Journal Article
  7. 7

    Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey by Gong, Shimin, Lu, Xiao, Hoang, Dinh Thai, Niyato, Dusit, Shu, Lei, Kim, Dong In, Liang, Ying-Chang

    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…”
    Get full text
    Journal Article
  8. 8

    Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing by Zhao, Nan, Ye, Zhiyang, Pei, Yiyang, Liang, Ying-Chang, Niyato, Dusit

    “…Mobile edge computing can effectively reduce service latency and improve service quality by offloading computation-intensive tasks to the edges of wireless…”
    Get full text
    Journal Article
  9. 9

    Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed by Chen, Shanzhi, Liang, Ying-Chang, Sun, Shaohui, Kang, Shaoli, Cheng, Wenchi, Peng, Mugen

    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…”
    Get full text
    Journal Article
  10. 10

    Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks by Zhao, Nan, Liang, Ying-Chang, Niyato, Dusit, Pei, Yiyang, Wu, Minghu, Jiang, Yunhao

    “…Heterogeneous cellular networks can offload the mobile traffic and reduce the deployment costs, which have been considered to be a promising technique in the…”
    Get full text
    Journal Article
  11. 11

    Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances by Zeng, Yonghong, Liang, Ying-Chang

    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…”
    Get full text
    Journal Article
  12. 12

    Energy-Efficient UAV Backscatter Communication With Joint Trajectory Design and Resource Optimization by Yang, Gang, Dai, Rao, Liang, Ying-Chang

    “…Backscatter communication which enables wireless-powered backscatter devices (BDs) to transmit information by reflecting incident signals, is an energy- and…”
    Get full text
    Journal Article
  13. 13

    Deep CM-CNN for Spectrum Sensing in Cognitive Radio by Liu, Chang, Wang, Jie, Liu, Xuemeng, Liang, Ying-Chang

    “…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,…”
    Get full text
    Journal Article
  14. 14

    Cooperative Ambient Backscatter Communications for Green Internet-of-Things by Yang, Gang, Zhang, Qianqian, Liang, Ying-Chang

    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…”
    Get full text
    Journal Article
  15. 15

    Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security by Chen, Jie, Liang, Ying-Chang, Pei, Yiyang, Guo, Huayan

    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…”
    Get full text
    Journal Article
  16. 16

    Applications of Deep Reinforcement Learning in Communications and Networking: A Survey by Luong, Nguyen Cong, Hoang, Dinh Thai, Gong, Shimin, Niyato, Dusit, Wang, Ping, Liang, Ying-Chang, Kim, Dong In

    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,…”
    Get full text
    Journal Article
  17. 17

    DOA and Polarization Estimation for Non-Circular Signals in 3-D Millimeter Wave Polarized Massive MIMO Systems by Wan, Liangtian, Liu, Kaihui, Liang, Ying-Chang, Zhu, Tong

    “…In this article, a multiple signal classification (MUSIC) based algorithm is proposed for two-dimensional (2-D) direction-of-arrival (DOA) and polarization…”
    Get full text
    Journal Article
  18. 18

    Constellation Learning-Based Signal Detection for Ambient Backscatter Communication Systems by Zhang, Qianqian, Guo, Huayan, Liang, Ying-Chang, Yuan, Xiaojun

    “…Ambient backscatter communication (AmBC) is a promising solution to energy-efficient and spectrum-efficient Internet of Things with stringent power and cost…”
    Get full text
    Journal Article
  19. 19

    Intelligent Reflecting Surface-Assisted Cognitive Radio System by Yuan, Jie, Liang, Ying-Chang, Joung, Jingon, Feng, Gang, Larsson, Erik G.

    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…”
    Get full text
    Journal Article
  20. 20

    Joint Optimization of Handover Control and Power Allocation Based on Multi-Agent Deep Reinforcement Learning by Guo, Delin, Tang, Lan, Zhang, Xinggan, Liang, Ying-Chang

    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,…”
    Get full text
    Journal Article