OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Interference Cancellation
Channel Estimation
Feedback
Heterogeneous Networks
Bi-directional
Energy Harvesting
Stochastic Geometry
HetNet
relay networks
FBMC
Equalization
channel capacity
TVWS
CDMA
interference
in-band full-duplex system
Duplex
MIMO
Ultra Low Power
C-V2V
5G
Reliability
SC-FDMA
interference suppression
D-TDD
CLI
indoor positioning
reinforcement learning
RSRP weighting
- Computation offloading
smart factory
Cell-free
multi-access edge computing
estimated position overlapping
—Device-to-device (D2D)
estimated position updating
mMIMO
control overhead
hybrid
NR positioning
Femtocell
Rat-dependent positioning
frame structure
Zigbee
body area networks
channel estimation error
Handoff
CoMP
User grouping
power uncertainty
ultra-dense small cell network
mode selection
antenna arrays
5G mobile communication
UFMC
resource block management
inter user interference
WVAN
health care
partial overlap
GFDM
Dynamic TDD
Multi-user Receiver
Number of training blocks
Uplink SCMA system
V2X
Vehicular communication
cross-link interference
LTE-TDD
FS-NOMA
Location-based
user fairness
Mode 3
QR Factorization
Metaheuristics
P-NOMA
non-orthogonal multiple access
dynamic HetNet
spectrum partitioning
and 5G networks.
massive connectivity
non-orthogonal multiple access (NOMA)
overloading
DQN
OTDOA
distributed mode
Communication range
resource selection
maximum likelihood method
Resource sharing
Power allocation
packet delay
Hanjong Kim, Daesik Hong and Changeon Kang, "Sliding Multiple Symbol Differential Detection of Trellis-coded MDPSK", ICEIC, Aug. 1993
[ICEIC]
조회 86141
Status : | Presented |
---|---|
Date : | 1993-08 |
Title : | Sliding Multiple Symbol Differential Detection of Trellis-coded MDPSK |
Authors : | Hanjong Kim, Daesik Hong and Changeon Kang |
Conference : | International conference on Electronics, Information And Communications |
Abstract : | In this paper, the idea of using a multiple symbol observation interval to improve error probability performance is applied to differential detection of MTCM with pi/4 shift QPSK and 8DPSK. We propose two types of sliding multiple symbol differential detection algorithm, type 1 and type 2. The two types of sliding detection scheme are examined and compared with conventional detection and block detection with these modulation formats in an additive white Gaussian noise (AWGN) using the Monte Carlo simulation. We show that the amount of improvement over conventional and block detection depends on the number of phases and the number of additional symbol intervals added to the observation. The analytical results of 2/4 MTCM is derived using pi/4 shift QPSK from the transfer function bound approach in AWGN. Computer simulation results are presented for 2,4,8 states in AWGN channel. |
Download : | http://mirinae.yonsei.ac.kr/?module=file...6b1f91d019 |
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