OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Channel Estimation
Interference Cancellation
Stochastic Geometry
Energy Harvesting
Feedback
Bi-directional
Heterogeneous Networks
Equalization
HetNet
relay networks
FBMC
Ultra Low Power
SC-FDMA
TVWS
Duplex
Reliability
CDMA
MIMO
interference
channel capacity
in-band full-duplex system
interference suppression
5G
C-V2V
reinforcement learning
RSRP weighting
non-orthogonal multiple access (NOMA)
health care
5G mobile communication
indoor positioning
Vehicle-to-vehicle communication
estimated position overlapping
Resource sharing
Power allocation
multi-access edge computing
control overhead
hybrid
Rat-dependent positioning
NR positioning
smart factory
UFMC
Handoff
Femtocell
QAM
CoMP
power uncertainty
- Computation offloading
amplify and forward communication
Zigbee
body area networks
resource block management
frame structure
WVAN
inter user interference
GFDM
mode selection
antenna arrays
partial overlap
LTE-based V2V
resource selection
maximum likelihood method
Communication range
Number of training blocks
Vehicular communication
Uplink SCMA system
Dynamic TDD
QR Factorization
Metaheuristics
FS-NOMA
cross-link interference
user fairness
Multi-user Receiver
Mode 3
V2X
P-NOMA
dynamic HetNet
spectrum partitioning
DQN
D-TDD
CLI
massive connectivity
and 5G networks.
OTDOA
estimated position updating
distributed mode
non-orthogonal multiple access
Spatial capacity
LTE-TDD
—Device-to-device (D2D)
Location-based
overloading
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Incheol Hwang, Hyunsoo Kim, Taehyung Kim, and Daesik Hong, "A New Hybrid Resource Allocation Scheme in C-V2V Systems" IEEE VTC Fall 2020
[IEEE VTC]
조회 7840
Status : | Presented |
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Date : | 2020-05 |
Title : | A New Hybrid Resource Allocation Scheme in C-V2V Systems |
Authors : | Incheol Hwang, Hyunsoo Kim, Taehyung Kim, and Daesik Hong |
Conference : | IEEE VTC Fall 2020 |
Abstract : | In the centralized mode of the cellular-based vehicleto-vehicle (C-V2V) system, the base station performs resource allocation based on location information from the vehicle user equipments (VUEs). To implement this location-based resource allocation, the base station and VUEs frequently exchange driving information with each other. This causes serious control overhead which includes the signaling that occurs between the base station and VUEs and the computing power needed to perform locationbased resource allocation. In this paper, we propose a new hybrid resource allocation scheme designed to reduce control overhead while satisfying high communication reliability. The proposed scheme is composed of two phases, a centralized phase and a distributed phase. In the centralized phase, the base station performs location-based resource allocation. In the distributed phase, VUEs autonomously select the resource occupied by the VUE in front of them. This procedure fixes the geographical locations of the resources to specific locations and consequently reduces the frequency with which the base station performs resource allocation. Simulation results show that the proposed resource allocation scheme reduces the control overhead of the conventional resource allocation with centralized mode. |
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