Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Shu-Ming Tseng"'
Publikováno v:
IEEE Access, Vol 12, Pp 93568-93579 (2024)
The previous scheme used imitation learning by classification of branching or pruning, combined with Branch and Bound (B&B) algorithm to solve physical-layer-only joint optimal subcarrier and power allocation problem in the device-to-device communica
Externí odkaz:
https://doaj.org/article/d00e9718f68a42849eec57ebe66559c1
Publikováno v:
Future Internet, Vol 16, Iss 8, p 284 (2024)
This study uses deep learning methods to explore the Internet of Things (IoT) network intrusion detection method based on the CIC-IoT-2023 dataset. This dataset contains extensive data on real-life IoT environments. Based on this, this study proposes
Externí odkaz:
https://doaj.org/article/8ea5f15a370b4e94a9f8e2b73cd96f9d
Publikováno v:
IEEE Access, Vol 11, Pp 133070-133085 (2023)
In this paper, we investigate hybrid beamforming and resource allocation design problems for uplink millimeter wave (mmWave) multi-user (MU) massive multiple-input-multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. We p
Externí odkaz:
https://doaj.org/article/58496c085ae04963ba28bf61ca6060b2
Publikováno v:
Symmetry, Vol 15, Iss 11, p 1968 (2023)
We propose a deep learning-based cross-layer power allocation method for asymmetric cell-free massive MIMO video communication systems. The proposed cross-layer approach considers physical layer channel state information (CSI) and the application lay
Externí odkaz:
https://doaj.org/article/8784aedeccdd4dbfaca73f015901a655
Publikováno v:
Sensors, Vol 23, Iss 16, p 7050 (2023)
This paper introduces a transformer encoding linker network (TELNet) for automatically identifying scene boundaries in videos without prior knowledge of their structure. Videos consist of sequences of semantically related shots or chapters, and recog
Externí odkaz:
https://doaj.org/article/565baaedc3f64e12a52b8fe47c48f748
Publikováno v:
IEEE Access, Vol 10, Pp 101898-101912 (2022)
A hybrid beamforming structure is suggested as one of the solutions to reduce implementation costs and energy consumption in millimeter-wave massive multiple-input, multiple-output (MIMO) systems. In this study, an optimization problem of resource al
Externí odkaz:
https://doaj.org/article/500508e5e53847edaab1d4dd0b82c6f5
Publikováno v:
Sensors, Vol 23, Iss 4, p 2171 (2023)
The prevalence of internet usage leads to diverse internet traffic, which may contain information about various types of internet attacks. In recent years, many researchers have applied deep learning technology to intrusion detection systems and obta
Externí odkaz:
https://doaj.org/article/82794ad6646a41bea45022b28ec61a9c
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-21 (2021)
Abstract In this paper, we present a joint time-variant carrier frequency offset (CFO) and frequency-selective channel response estimation scheme for multiple input-multiple output-orthogonal frequency-division multiplexing (MIMO-OFDM) systems for mo
Externí odkaz:
https://doaj.org/article/b904862406ac4000a0dea4ce82b2ccd7
Publikováno v:
IEEE Access, Vol 8, Pp 140097-140107 (2020)
Prior works either considered outage capacity of wireless video transmission systems but did not consider NOMA which is a key technology for 5G ultra-reliable low-latency (URLLC), or concerned the ergodic capacity of NOMA-OFDMA systems but did not co
Externí odkaz:
https://doaj.org/article/2234b6baf7b54d1dabd1db9a0b6feffc
Publikováno v:
IEEE Access, Vol 7, Pp 157730-157740 (2019)
In previous study, deep learning and autoencoder have been applied for data detection of NOMA systems, rather than the resource allocation of OFDMA/NOMA systems. In previous work, we proposed the use of non-deep-learning-based cross-layer resource al
Externí odkaz:
https://doaj.org/article/2d67b220f8074547849b0eeb6e715b1d