OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Interference Cancellation
Channel Estimation
Feedback
Heterogeneous Networks
Energy Harvesting
Stochastic Geometry
Bi-directional
Equalization
relay networks
FBMC
HetNet
CDMA
channel capacity
SC-FDMA
interference
MIMO
Ultra Low Power
Duplex
TVWS
CLI
in-band full-duplex system
D-TDD
interference suppression
Reliability
5G
C-V2V
indoor positioning
reinforcement learning
RSRP weighting
User grouping
Rat-dependent positioning
Communication range
multi-access edge computing
hybrid
- Computation offloading
—Device-to-device (D2D)
estimated position updating
control overhead
resource block management
estimated position overlapping
Femtocell
NR positioning
frame structure
Zigbee
body area networks
channel estimation error
Handoff
CoMP
packet delay
power uncertainty
ultra-dense small cell network
GFDM
antenna arrays
5G mobile communication
UFMC
WVAN
mode selection
inter user interference
health care
Vehicular communication
cross-link interference
resource selection
FS-NOMA
Dynamic TDD
Number of training blocks
Mode 3
Uplink SCMA system
Multi-user Receiver
LTE-TDD
user fairness
smart factory
V2X
Metaheuristics
Location-based
QR Factorization
partial overlap
P-NOMA
dynamic HetNet
spectrum partitioning
Cell-free
and 5G networks.
overloading
massive connectivity
DQN
mMIMO
distributed mode
non-orthogonal multiple access
OTDOA
maximum likelihood method
Resource sharing
Power allocation
non-orthogonal multiple access (NOMA)
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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 13486
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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