On the road to 6G: Visions, requirements, key technologies, and testbeds
Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …
deployment, providing users with new services, improved user experiences as well as a host …
6G R&D vision: Requirements and candidate technologies
The Korean Institute of Communications and Information Sciences (KICS), which is the
largest information and communication technology institute in Korea, has been active in …
largest information and communication technology institute in Korea, has been active in …
Active user detection and channel estimation for massive machine-type communication: Deep learning approach
Recently, massive machine-type communications (mMTCs) have become one of key use
cases for 5G. In order to support massive users transmitting small data packets at low rates …
cases for 5G. In order to support massive users transmitting small data packets at low rates …
Joint power allocation and 3D deployment for UAV-BSs: A game theory based deep reinforcement learning approach
Ultra-dense unmanned aerial vehicle (UAV) plays an important role in the field of
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …
Energy-efficient user association in mmWave/THz ultra-dense network via multi-agent deep reinforcement learning
As a key enabler for 5G and 6G wireless communications, millimeter-wave (mmWave) and
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …
Device scheduling in over-the-air federated learning via matching pursuit
This paper develops a class of low-complexity device scheduling algorithms for over-the-air
federated learning via the method of matching pursuit. The proposed scheme tracks closely …
federated learning via the method of matching pursuit. The proposed scheme tracks closely …
Energy and spectrum efficient cell switch-off with channel and power allocation in ultra-dense networks: A deep reinforcement learning approach
Z Rezaei, BS Ghahfarokhi - Computer Networks, 2023 - Elsevier
The high density of small cells in the Ultra-Dense Network (UDN) has increased the capacity
and the coverage of Fifth Generation (5G) cellular networks. However, with increasing the …
and the coverage of Fifth Generation (5G) cellular networks. However, with increasing the …
Parametric sparse channel estimation using long short-term memory for mmwave massive mimo systems
Millimeter-wave (mmWave) communications will play an important role in 5G and 6G
communication systems as a means to support extremely high data rates. One main …
communication systems as a means to support extremely high data rates. One main …
Sensing and Computer Vision-Aided Mobility Management for 6G Millimeter and Terahertz Communication Systems
Millimeter wave (mmWave) and terahertz (THz) communications have been considered as
the key techniques to support extremely high data rates in the 6G system. One main …
the key techniques to support extremely high data rates in the 6G system. One main …
Iterated Filters for Nonlinear Transition Models
A new class of iterated linearization-based nonlinear filters, dubbed dynamically iterated
filters, is presented. Contrary to regular iterated filters such as the iterated extended Kalman …
filters, is presented. Contrary to regular iterated filters such as the iterated extended Kalman …