Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Chieh-Fang Teng"'
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:11234-11239
Publikováno v:
IEEE Communications Letters. 26:1883-1887
Publikováno v:
2022 IEEE Workshop on Signal Processing Systems (SiPS).
Publikováno v:
IEEE Communications Letters. 25:1989-1993
Hybrid beamforming can effectively reduce the cost of millimeter wave multiple-input-multiple-output (MIMO) system. However, the analog beamformer realized by the unit-norm phase shifters makes the design of the hybrid beamformers a complicated non-c
Autor:
An-Yeu Wu, Chieh-Fang Teng
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:1956-1965
Polar codes have been officially selected as the channel coding in 5G standard. To meet the requirements of enhanced mobile broadband (eMBB), most published polar decoder chips aim to improve throughput rate and error-correction performance. However,
Autor:
An-Yeu Wu, Chieh-Fang Teng
Publikováno v:
IEEE Transactions on Signal Processing. 69:300-313
Known for their capacity-achieving abilities and low complexity for both encoding and decoding, polar codes have been selected as the control channel coding scheme for 5G communications. To satisfy the needs of high throughput and low latency, belief
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. :1-1
Publikováno v:
ICASSP
Known for their capacity-achieving abilities, polar codes have been selected as the control channel coding scheme for 5G communications. To satisfy the needs of high throughput and low latency, belief propagation (BP) is chosen as the decoding algori
Publikováno v:
MLSP
In recent years, many works have been focusing on applying machine learning techniques to assist with communication system design. Instead of replacing the functional blocks of communication systems with neural networks, a hybrid manner of ViterbiNet
Publikováno v:
VLSI Circuits
To meet with the stringent requirements of ultra-low latency communication in 5G, this work presents a polar decoder fabricated in TSMC 40nm CMOS featuring: 1) World's first neural network-assisted decoder chip with 8× improvement of convergence rat