Full Duplex
HetNet
FBMC
relay networks
Channel Estimation
Interference Cancellation
interference
channel capacity
MIMO
CLI
synchronization
interference suppression
in-band full-duplex system
D-TDD
5G
Multiple Antennas
inter user interference
OFDM
mode selection
WVAN
channel estimation error
UFMC
5G mobile communication
timing misalignment
ultra-dense small cell network
GFDM
reinforcement learning
multi-access edge computing
health care
RSRP weighting
- Computation offloading
—Device-to-device (D2D)
antenna arrays
power uncertainty
resource block management
frame structure
QAM
Poisson arrival
Short burst transmission
mMTC
User association
Traffic
Capacity
OCBT
Waveforms
Time-division duplex
self interference cancellation
body area networks
cellular radio
quality of service
amplify and forward communication
Cognitive radio
telecommunication traffic
intercarrier interference
Zigbee
indoor positioning
intersymbol interference
spectrum sharing
Cell-free
Uplink SCMA system
Number of training blocks
Reliability
Communication range
Mode 3
resource allocation
P-NOMA
partial overlap
Vehicular communication
resource selection
maximum likelihood method
V2X
user fairness
cross-link interference
Dynamic TDD
LTE-TDD
Metaheuristics
QR Factorization
Multi-user Receiver
FS-NOMA
non-orthogonal multiple access
C-V2V
OTDOA
mMIMO
User grouping
packet delay
estimated position updating
Resource sharing
Rat-dependent positioning
NR positioning
estimated position overlapping
non-orthogonal multiple access (NOMA)
overloading
Power allocation
Location-based
distributed mode
DQN
spectrum partitioning
massive connectivity
and 5G networks.
dynamic HetNet
smart factory
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Minchul Hong, Incheol Hwang, Jehyun Heo, and Daesik Hong, "A New Scheduling Algorithm for Time-varying MIMO Channels with a Channel Aging Metric" IEEE CCNC 2023
[Other Conf. Papers]
조회 13219
Status : | Presented |
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Date : | 2022-09 |
Title : | A New Scheduling Algorithm for Time-varying MIMO Channels with a Channel Aging Metric |
Authors : | Minchul Hong, Incheol Hwang, Jehyun Heo, and Daesik Hong |
Conference : | IEEE Consumer Communications & Networking Conference (CCNC) 2023 |
Abstract : | In a wireless communication system, channel aging produces a mismatch between the estimated channel and the channel state at the time of data transmission. This mismatch enhances the interference to users and degrades system capacity. In this paper, we first define a channel aging metric (CAM) to reflect the influence of channel aging on user scheduling. We then propose a CAM-based semiorthogonal user scheduling (CAM-SUS) algorithm that adaptively adjusts the number of serving users according to the user's CAM. Specifically, the CAM-SUS algorithm reduces the number of serving users to mitigate intra-user interference (lUI) when channel aging is severe, and otherwise increases the number to increase the multiplexing gain. Simulation results show the proposed algorithm outperforms the SUS algorithm in a time-varying channel in terms of signal-to-interference-plus-noise ratio by 6–7 dB, and the achievable rate by 39–41 %. |
URL : | https://ieeexplore.ieee.org/document/10059856 |
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