Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges

Table 3

Abbreviations list.

Symbol	Description
4G	Fourth generation
5G	Fifth generation
6G	Sixth generation
AI	Artificial intelligence
AR	Augmented reality
AV	Autonomous vehicle
BS	Base station
CEM	Customer experience management
CNN	Convolutional neural network
CS	Communication system
CSI	Characteristic stability index
D2D	Device to device
DAI	Distributed AI
DL	Deep learning
DNN	Deep neural network
DRL	Deep reinforcement learning
eMBB	Enhanced mobile broadband
FC	Fog computing
FL	Federated learning
FNN	Feedforward neural network
GAN	Generative adversarial network
GRU	Gated recurrent units
GPU	Graphics processing unit
HMIMO	Holographic multiple-input and multiple-output
IoT	Internet of things
IRS	Intelligent reflecting surface
ISTN	Integrated satellite and terrestrial network
ITNT	Integrated terrestrial and nonterrestrial network
LEO	Low earth orbits
LSTM	Long short-term memory
LTE	Long-term evolution
MaEC	Multiaccess edge computing
MARL	Multiagent reinforcement learning
MDP	Markov decision process
MEC	Mobile edge computing
MIMO	Multiple-input and multiple-output
ML	Machine learning
mMTC	Massive machine-type communications
MSE	Mean square error
MU-HMIMO	Multiuser holographic multiple-input multiple-output
NWDA	Network data analytics
QCN	Quantum communication network
QoS	Quality of service
RAN	Radio access network
RELU	Rectified linear unit
RKHS	Reproducing kernel Hilbert space
RL	Reinforcement learning
RNN	Recurrent neural network
RSMA	Rate-splitting multiple access
SNR	Signal-to-noise ratio
SON	Self-organizing networks
SVM	Support vector machine
THz	Terahertz
TL	Transfer learning
UAV	Unmanned aerial vehicle
UM-MIMO	Ultramassive multiple-input multiple-output
URLLC	Ultrareliable low latency service
V2X	Vehicle-to-everything
VNE	Virtual network embedding
VNR	Virtual network requests
VR	Virtual reality