Integrated sensing and communication in 6G: Motivations, use cases, requirements, challenges and future directions
DKP Tan, J He, Y Li, A Bayesteh… - … Communications & …, 2021 - ieeexplore.ieee.org
… Cellular mobile communication systems have evolved … New generations of cellular networks
emerge every 10 years or so … , stochastic models which include geometry-based stochastic …
emerge every 10 years or so … , stochastic models which include geometry-based stochastic …
[图书][B] Algorithms for communications systems and their applications
… In this chapter, we recall some concepts on signal theory and random processes. For an
in-… We will conclude with the study of random processes, with emphasis on the statistical …
in-… We will conclude with the study of random processes, with emphasis on the statistical …
Transmission through large intelligent surfaces: A new frontier in wireless communications
E Basar - … Conference on Networks and Communications …, 2019 - ieeexplore.ieee.org
… put forward as a promising candidate for future wireless communication systems and standards.
For the considered LIS-assisted system, a general mathematical framework is presented …
For the considered LIS-assisted system, a general mathematical framework is presented …
A comprehensive survey on millimeter wave communications for fifth-generation wireless networks: Feasibility and challenges
AN Uwaechia, NM Mahyuddin - IEEE Access, 2020 - ieeexplore.ieee.org
… for mmWave is envisioned as an essential part of the 5G wireless communication networks.
… -based stochastic models (GBSMs) and non-geometry based stochastic models (NGSMs), …
… -based stochastic models (GBSMs) and non-geometry based stochastic models (NGSMs), …
Communication-efficient and distributed learning over wireless networks: Principles and applications
… mobile communication systems, uplink data rates are often much lower than downlink rates
due to the limited transmission power of mobile … the large-scale minibatch stochastic GD (LS-…
due to the limited transmission power of mobile … the large-scale minibatch stochastic GD (LS-…
Deep learning enabled semantic communication systems
… Overall, we consider an intelligent E2E communication system with the stochastic physical
channel, where the transmitter and the receiver have certain background knowledge, ie, …
channel, where the transmitter and the receiver have certain background knowledge, ie, …
Reconfigurable intelligent surfaces for wireless communications: Overview of hardware designs, channel models, and estimation techniques
… (6G) of wireless communication networks have spurred recent … and radio-frequency
front-end architectures for wireless … A stochastic cascaded model for RIS-empowered wireless …
front-end architectures for wireless … A stochastic cascaded model for RIS-empowered wireless …
A survey on channel estimation and practical passive beamforming design for intelligent reflecting surface aided wireless communications
… in its efficient integration into wireless communication systems, especially its channel estima…
the stochastic model will be given to investigate new setups and optimization techniques. …
the stochastic model will be given to investigate new setups and optimization techniques. …
A lite distributed semantic communication system for Internet of Things
… By identifying the impacts of CSI on DL model training over fading channels, we propose
a CSI-aided semantic communication system to speed up convergence, where the CSI is …
a CSI-aided semantic communication system to speed up convergence, where the CSI is …
Millimeter wave and sub-terahertz spatial statistical channel model for an indoor office building
… modelling and characterization of experimental mm-wave indoor channels for future 5G
wireless communication networks,” … Kurner, “Stochastic modeling of THz indoor radio channels,” …
wireless communication networks,” … Kurner, “Stochastic modeling of THz indoor radio channels,” …