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
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Number of training blocks
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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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Beomju Kim, Jehyun Heo, and Daesik Hong, "Partial Non-Orthogonal Multiple Access (P-NOMA) with respect to User Fairness," IEEE VTC Fall workshop 2019
[IEEE VTC]
조회 31758
Status : | Presented |
---|---|
Date : | 2019-07 |
Title : | Partial Non-Orthogonal Multiple Access (P-NOMA) with respect to User Fairness |
Authors : | Beomju Kim, Jehyun Heo, and Daesik Hong |
Conference : | IEEE VTC Fall workshop 2019 |
Abstract : | In this paper, we consider the user fairness in partial non-orthogonal multiple access (P-NOMA) system which was proposed in our previous work [1]. In the P-NOMA system, the interference of NOMA can be managed by adjusting the overlap ratio between users. In our previous works, we considered the enhancement of sum of achievable rate. In this paper, we investigate the performance of P-NOMA in terms of user fairness. For reflecting user fairness on P-NOMA systems, we first define the metric to represent user fairness and then observe the target performance metric according to overlap ratio. In addition, we propose a feasible operating method to achieve the user fairness. |
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