OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Interference Cancellation
Channel Estimation
Feedback
Stochastic Geometry
Bi-directional
Energy Harvesting
Heterogeneous Networks
FBMC
HetNet
Equalization
relay networks
Ultra Low Power
TVWS
MIMO
interference
SC-FDMA
CDMA
Duplex
channel capacity
interference suppression
5G
Reliability
C-V2V
in-band full-duplex system
OCBT
CLI
body area networks
5G mobile communication
antenna arrays
NR positioning
health care
Resource sharing
Location-based
LTE-TDD
FS-NOMA
Power allocation
OTDOA
hybrid
control overhead
estimated position overlapping
resource block management
amplify and forward communication
power uncertainty
CoMP
quality of service
cellular radio
Rat-dependent positioning
telecommunication traffic
Handoff
Femtocell
inter user interference
UFMC
mode selection
GFDM
QAM
Zigbee
frame structure
Vehicular communication
Vehicle-to-vehicle communication
non-orthogonal multiple access
QR Factorization
Spatial capacity
LTE-based V2V
Number of training blocks
Communication range
user fairness
Mode 3
resource selection
distributed mode
maximum likelihood method
Metaheuristics
cross-link interference
Dynamic TDD
Uplink SCMA system
V2X
DQN
estimated position updating
—Device-to-device (D2D)
D-TDD
dynamic HetNet
indoor positioning
spectrum partitioning
- Computation offloading
multi-access edge computing
P-NOMA
partial overlap
Subband filtering
Multi-user Receiver
reinforcement learning
RSRP weighting
smart factory
-
2021.03 Sunday Monday Tuesday Wednesday Thursday Friday Saturday 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Jinkyo Jeong, Ilmin Kim, and Daesik Hong, "Deep Reinforcement Learning-based Task Offloading Decision in the Time Varying Channel" ICEIC 2021
[ICEIC]
조회 13023
Status : | Presented |
---|---|
Date : | 2020-12 |
Title : | Deep Reinforcement Learning-based Task Offloading Decision in the Time Varying Channel |
Authors : | Jinkyo Jeong, Ilmin Kim, and Daesik Hong |
Conference : | ICEIC |
Abstract : | This paper proposes a dynamic task offloading decision control scheme to minimize the total delay to execute computation task taking into account the time-varying channel. Specifically, we consider the practical task offloading process, where executing computation task is carried out over multiple channel coherence times. In order to make an accurate decision on the task offloading process performed over multiple channel coherence times, we utilize the model-free reinforcement learning, since environment dynamics of the system, channel transition probabilities, is challenging to estimate. We formulate a problem of minimizing the total delay of executing computation task based on a Markov decision process (MDP). In order to solve the MDP problem, we develop a model-free reinforcement learning algorithm. Simulation results show that our proposed scheme outperforms the conventional scheme. |
.
-
2021.03 Sunday Monday Tuesday Wednesday Thursday Friday Saturday 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
-
2021.03 Sunday Monday Tuesday Wednesday Thursday Friday Saturday 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
카테고리
- 전체(253)
- [ICNN] (3)
- [ICEIC] (14)
- [ITC-CSCC] (11)
- [JTC-CSCC] (3)
- [IEEE ICASSP] (9)
- [IEEE ICC] (22)
- [IEEE ICCE] (1)
- [IEEE ICCS] (3)
- [IEEE ICOIN] (3)
- [IEEE ICONIP] (2)
- [IEEE IJCNN] (9)
- [IEEE INTERMAG] (8)
- [IEEE ISIT] (1)
- [IEEE GLOBECOM] (21)
- [IEEE MILCOM] (11)
- [IEEE PIMRC] (17)
- [IEEE VTC] (70)
- [IEEE WCNC] (8)
- [IEEE TENCON] (1)
- [IEEE CNCC] (1)
- [Other Conf. Papers] (35)