activity
20062023
most citedBlockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey

422 citations · 952 across the 48 of their papers we have counts for

collaborators

49 papers

eess.SP2023★ 1 cited

Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems

Yao Ge, Lei Liu, Shunqi Huang +3

Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems. This paper considers a non-orthogonal spa…

cs.IT2022★ 3 cited

Design of Protograph LDPC-Coded MIMO-VLC Systems with Generalized Spatial Modulation

Lin Dai, Yi Fang, Yong Liang Guan +1

This paper investigates the bit-interleaved coded generalized spatial modulation (BICGSM) with iterative decoding (BICGSM-ID) for multiple-input multiple-output (MIMO) visible ligh…

cs.IT2021

Protograph Bit-Interleaved Coded Modulation: A Bandwidth-Efficient Design Paradigm for 6G Wireless Communications

Yi Fang, Pingping Chen, Yong Liang Guan +3

Bit-interleaved coded modulation (BICM) has attracted considerable attention from the research community in the past three decades, because it can achieve desirable error performan…

eess.SP2021

Spectrum Learning-Aided Reconfigurable Intelligent Surfaces for 'Green' 6G Networks

Bo Yang, Xuelin Cao, Chongwen Huang +6

In the sixth-generation (6G) era, emerging large-scale computing based applications (for example processing enormous amounts of images in real-time in autonomous driving) tend to l…

cs.IT2020

Perturbed Adaptive Belief Propagation Decoding for High-Density Parity-Check Codes

Li Deng, Zilong Liu, Yong Liang Guan +4

Algebraic codes such as BCH code are receiving renewed interest as their short block lengths and low/no error floors make them attractive for ultra-reliable low-latency communicati…

cs.NI2020★ 5 cited

Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions

Bo Yang, Xuelin Cao, Kai Xiong +5

In a level-5 autonomous driving system, the autonomous driving vehicles (AVs) are expected to sense the surroundings via analyzing a large amount of data captured by a variety of o…