Anchor-Assisted Channel Estimation for Intelligent Reflecting Surface Aided Multiuser Communication [PDF]
IEEE Transactions on Wireless Communications, 2021 Channel estimation is a practical challenge for intelligent reflecting surface (IRS) aided wireless communication. As the number of IRS reflecting elements or IRS-aided users increases, the channel training overhead becomes excessively high, which ...
Xinrong Guan, Qingqing Wu, Rui Zhang
semanticscholar +1 more source
Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission [PDF]
IEEE Transactions on Signal Processing, 2020 The emergence of reconfigurable intelligent surfaces (RISs) enables us to establish programmable radio wave propagation that caters for wireless communications, via employing low-cost passive reflecting units.
Li You +5 more
semanticscholar +1 more source
Semantic Communication for the Internet of Vehicles: A Multiuser Cooperative Approach
IEEE Vehicular Technology Magazine, 2023 The Internet of Vehicles (IoV) is expected to become the central infrastructure to provide advanced services to connected vehicles and users for higher transportation efficiency and security.
Wenjun Xu +5 more
semanticscholar +1 more source
Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis [PDF]
IEEE Transactions on Wireless Communications, 2019 In intelligent reflecting surface (IRS) assisted communication systems, the acquisition of channel state information is a crucial impediment for achieving the beamforming gain of IRS because of the considerable overhead required for channel estimation ...
Zhaorui Wang, Liang Liu, Shuguang Cui
semanticscholar +1 more source
Fast Beam Training for IRS-Assisted Multiuser Communications [PDF]
IEEE Wireless Communications Letters, 2020 In this letter, we consider an intelligent reflecting surface (IRS)-assisted multiuser communication system, where an IRS is deployed to provide virtual line-of-sight (LoS) links between an access point (AP) and multiple users.
Changsheng You +2 more
semanticscholar +1 more source
Transmit Design for Joint MIMO Radar and Multiuser Communications With Transmit Covariance Constraint [PDF]
IEEE Journal on Selected Areas in Communications, 2021 In this paper, we consider the waveform design of a multiple-input multiple-output (MIMO) transmitter which simultaneously functions as a MIMO radar and a base station for downlink multiuser communications.
Xiang Liu, Tianyao Huang, Yimin Liu
semanticscholar +1 more source
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO [PDF]
IEEE Transactions on Wireless Communications, 2020 This paper shows that deep neural network (DNN) can be used for efficient and distributed channel estimation, quantization, feedback, and downlink multiuser precoding for a frequency-division duplex massive multiple-input multiple-output system in which ...
Foad Sohrabi, Kareem M. Attiah, Wei Yu
semanticscholar +1 more source
Joint Multiuser DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence [PDF]
IEEE Internet of Things Journal, 2020 Mobile-edge computing (MEC) has emerged as a promising supporting architecture providing a variety of resources to the network edge, thus acting as an enabler for edge intelligence services empowering massive mobile and Internet-of-Things (IoT) devices ...
Xin Tang +4 more
semanticscholar +1 more source
Multiuser Full-Duplex Two-Way Communications via Intelligent Reflecting Surface [PDF]
IEEE Transactions on Signal Processing, 2020 Low-cost passive intelligent reflecting surfaces (IRSs) have recently been envisioned as a revolutionary technology capable of reconfiguring the wireless propagation environment through carefully tuning reflection elements.
Zhangjie Peng +4 more
semanticscholar +1 more source
Underlay Cognitive Radio with Full or Partial Channel Quality Information [PDF]
, 2010 Underlay cognitive radios (UCRs) allow a secondary user to enter a primary user's spectrum through intelligent utilization of multiuser channel quality information (CQI) and sharing of codebook.
Ma, Yi, Tafazolli, Rahim, Yi, Na
core +3 more sources