Results 41 to 50 of about 17,002 (297)

Full Duplex AF and DF Relaying Under Channel Estimation Errors for V2V Communications

IEEE Access, 2018
In this paper, we investigate the outage performance of full-duplex (FD) and half-duplex (HD) vehicle to vehicle (V2V) networks. We consider two vehicular communication scenarios with the assistance of roadside unit (RSU), i.e., RSU-to-vehicle-to-vehicle
Siye Wang, Dandi Wang, Chao Li, Wenbo Xu
doaj   +1 more source

Iterative Slepian-Wolf Decoding and FEC Decoding for Compress-and-Forward Systems [PDF]

2012 IEEE Vehicular Technology Conference (VTC Fall), 2012
While many studies have concentrated on providing theoretical analysis for the relay assisted compress-and-forward systems little effort has yet been made to the construction and evaluation of a practical system. In this paper a practical CF system incorporating an error-resilient multilevel Slepian-Wolf decoder is introduced and a novel iterative ...
Yinan Qi, Muhammad Ali Imran 0001, Rahim Tafazolli   +2 more
openaire   +1 more source

Detect-and-forward relaying aided cooperative spatial modulation for wireless networks

, 2013
A novel detect-and-forward (DeF) relaying aided cooperative SM scheme is proposed, which is capable of striking a flexible tradeoff in terms of the achievable bit error ratio (BER), complexity and unequal error protection (UEP).
Yang, Ping, Li, Shaoqian, Xiao, Yue, El-Hajjar, Mohammed, Zhang, Bo, Dong, Binhong, Hanzo, Lajos   +6 more
core   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

Molecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu, Nicolas J. Niklaus, Anna M. Schläfli, Igor Tokarchuk, Magali Humbert, Federico La Manna, Bich Vu, David Maul, Ramin Radpour, Marianna Kruithof‐de Julio, Inti Zlobec, Jörn Dengjel, Bruce E. Torbett, Mario P. Tschan   +13 more
wiley   +1 more source

Decode-and-Forward Short-Packet Relaying in the Internet of Things: Timely Status Updates

, 2021
In this paper, a decode-and-forward (DF) short-packet relaying model is developed to achieve timely status updates for intelligent monitoring within the Internet of Things (IoT), where the status updates generated at an IoT device are delivered to a ...
Dongsheng Zheng (17243266), Bingli Jiao (17234410), Lai Wei (36699), Yuli Yang (17170531)   +3 more
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Cognitive decode-and-forward relaying with successive interference cancelation

EURASIP Journal on Wireless Communications and Networking, 2018
In this work, we study the cognitive decode-and-forward (DF) relaying, where a primary user (PU) communicates with an access point (AP), and in the same geographical region, a secondary source (SS) communicates to a secondary destination (SD) with ...
Chao Zhai, Lina Zheng, Weidong Guo
doaj   +1 more source

Efficient Decoding Algorithms for the Compute-and-Forward Strategy [PDF]

IEEE Transactions on Communications, 2015
We address in this paper decoding aspects of the Compute-and-Forward (CF) physical-layer network coding strategy. It is known that the original decoder for the CF is asymptotically optimal. However, its performance gap to optimal decoders in practical settings are still not known.
Asma Mejri 0001, Ghaya Rekaya-Ben Othman
openaire   +2 more sources

Smart relaying for selection combining based decode-and-forward cooperative networks

, 2014
This letter proposes three smart relaying strategies, including power allocation, continuous power control, and discrete power control strategies, to mitigate the error propagation problem for single-relay decode-and-forward cooperative networks using ...
Xiang, Wei, Zhao, Dawei, Jia, Min, Zhao, Honglin   +3 more
core   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source