IEEE Transactions on Wireless Communications,
Journal Year:
2024,
Volume and Issue:
23(8), P. 10213 - 10228
Published: Aug. 1, 2024
Although
deep
learning
(DL)-enabled
semantic
communication
(SemCom)
has
emerged
as
a
6G
enabler
by
minimizing
irrelevant
information
transmission
–
power
usage,
bandwidth
consumption,
and
delay,
its
benefits
can
be
limited
radio
frequency
interference
(RFI)
that
causes
substantial
noise.
Such
noise's
impact
alleviated
using
an
interference-resistant
robust
(IR
2
)
SemCom
design,
though
no
such
design
exists
yet.
To
stimulate
fundamental
research
on
IR
SemCom,
the
performance
limits
of
popular
text
system
named
DeepSC
are
studied
in
presence
(multi-interferer)
RFI.
By
introducing
principled
probabilistic
framework
for
we
show
DeepSC
produces
semantically
sentences
RFI
gets
very
large.
We
also
derive
DeepSC's
practical
lower
bound
outage
probability
under
multi-interferer
RFI,
propose
(generic)
lifelong
DL-based
system.
corroborate
derived
with
simulations
computer
experiments,
which
affirm
vulnerability
to
wireless
attack
IEEE Internet of Things Journal,
Journal Year:
2024,
Volume and Issue:
11(11), P. 19168 - 19187
Published: March 6, 2024
The
Internet
of
Things
(IoT)
and
massive
IoT
systems
are
key
to
sixth-generation
(6G)
networks
due
dense
connectivity,
ultra-reliability,
low
latency,
high
throughput.
Artificial
intelligence,
including
deep
learning
machine
learning,
offers
solutions
for
optimizing
deploying
cutting-edge
technologies
future
radio
communications.
However,
these
techniques
vulnerable
adversarial
attacks,
leading
degraded
performance
erroneous
predictions,
outcomes
unacceptable
ubiquitous
networks.
This
survey
extensively
addresses
attacks
defense
methods
in
6G
network-assisted
systems.
theoretical
background
up-to-date
research
on
defenses
discussed.
Furthermore,
we
provide
Monte
Carlo
simulations
validate
the
effectiveness
compared
jamming
attacks.
Additionally,
examine
vulnerability
by
demonstrating
attack
strategies
applicable
technologies,
reconfigurable
intelligent
surfaces,
multiple-input
multiple-output
(MIMO)/cell-free
MIMO,
satellites,
metaverse,
semantic
Finally,
outline
challenges
developments
associated
with
IEEE Network,
Journal Year:
2022,
Volume and Issue:
37(6), P. 166 - 175
Published: Dec. 26, 2022
Emerging
with
the
support
of
computing
and
communications
technologies,
Metaverse
is
expected
to
bring
users
unprecedented
service
experiences.
However,
increase
in
number
places
a
heavy
demand
on
network
resources,
especially
for
services
that
are
based
graphical
extended
reality
require
rendering
plethora
virtual
objects.
To
make
efficient
use
resources
improve
Quality-of-Experience
(QoE),
we
design
an
attentionaware
resource
allocation
scheme
achieve
customized
services.
The
aim
allocate
more
objects
which
interested.
We
first
discuss
several
key
techniques
related
services,
including
QoE
analysis,
eye-tracking,
remote
rendering.
then
review
existing
datasets
propose
user-objectattention
level
(UOAL)
dataset
contains
ground
truth
attention
30
96
1;
000
images.
With
help
UOAL,
attention-aware
algorithm
has
two
steps,
i.e.,
prediction
maximization.
Specially,
provide
overview
designs
types
methods,
interestaware
time-aware
prediction.
By
using
predicted
userobject-
values,
such
as
capacity
edge
devices
can
be
allocated
optimally
maximize
QoE.
Finally,
promising
research
directions
IEEE Communications Magazine,
Journal Year:
2023,
Volume and Issue:
61(8), P. 94 - 100
Published: June 5, 2023
Web
3.0
is
the
next-generation
Internet
that
enables
participants
to
read,
write,
and
own
contents
in
a
decentralized
manner.
It
mainly
driven
by
blockchain,
semantic
communication,
edge
computing,
artificial
intelligence,
which
can
construct
value
networks
achieve
participatory
economics
based
on
decision
making.
capture
characteristics
of
extraction,
communication
sharing
transfer
information
precisely.
However,
current
solutions
focus
blockchain
while
overlooking
other
new
technologies'
roles
3.0.
To
further
unleash
advantages
extraction
3.0,
this
article,
we
propose
blockchain-based
exchange
framework
realize
fair
efficient
interactions.
In
framework,
first
attempt
tokenize
into
Non-Fungible
Token
(NFT)
for
exchange.
Then
utilize
Stackelberg
game
maximize
buying
pricing
strategies
trading.
We
also
leverage
Zero-Knowledge
Proof
share
authentic
without
publishing
it
before
receiving
payments,
privacy-preserving
trading
compared
with
NFT
marketplaces.
A
case
study
about
urban
planning
given
show
clearly
proposed
mechanisms.
Finally,
several
challenges
opportunities
are
identified.
IEEE Transactions on Wireless Communications,
Journal Year:
2024,
Volume and Issue:
23(8), P. 10213 - 10228
Published: Aug. 1, 2024
Although
deep
learning
(DL)-enabled
semantic
communication
(SemCom)
has
emerged
as
a
6G
enabler
by
minimizing
irrelevant
information
transmission
–
power
usage,
bandwidth
consumption,
and
delay,
its
benefits
can
be
limited
radio
frequency
interference
(RFI)
that
causes
substantial
noise.
Such
noise's
impact
alleviated
using
an
interference-resistant
robust
(IR
2
)
SemCom
design,
though
no
such
design
exists
yet.
To
stimulate
fundamental
research
on
IR
SemCom,
the
performance
limits
of
popular
text
system
named
DeepSC
are
studied
in
presence
(multi-interferer)
RFI.
By
introducing
principled
probabilistic
framework
for
we
show
DeepSC
produces
semantically
sentences
RFI
gets
very
large.
We
also
derive
DeepSC's
practical
lower
bound
outage
probability
under
multi-interferer
RFI,
propose
(generic)
lifelong
DL-based
system.
corroborate
derived
with
simulations
computer
experiments,
which
affirm
vulnerability
to
wireless
attack
