Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Perotti, Alberto"'
Publikováno v:
2024 IEEE Wireless Communications and Networking Conference
This paper introduces a novel physical-layer method labelled as Multi-Modal Concurrent Transmission (MMCT) for efficient transmission of multiple data streams with different reliability-latency performance requirements. The MMCT arranges data from mu
Externí odkaz:
http://arxiv.org/abs/2402.06306
Autor:
Ozfatura, Emre, Shao, Yulin, Ghazanfari, Amin, Perotti, Alberto, Popovic, Branislav, Gunduz, Deniz
Deep neural network (DNN)-assisted channel coding designs, such as low-complexity neural decoders for existing codes, or end-to-end neural-network-based auto-encoder designs are gaining interest recently due to their improved performance and flexibil
Externí odkaz:
http://arxiv.org/abs/2211.01730
Deep learning based channel code designs have recently gained interest as an alternative to conventional coding algorithms, particularly for channels for which existing codes do not provide effective solutions. Communication over a feedback channel i
Externí odkaz:
http://arxiv.org/abs/2206.09457
Ultra-reliable short-packet communication is a major challenge in future wireless networks with critical applications. To achieve ultra-reliable communications beyond 99.999%, this paper envisions a new interaction-based communication paradigm that e
Externí odkaz:
http://arxiv.org/abs/2205.14955
We present a new deep-neural-network (DNN) based error correction code for fading channels with output feedback, called deep SNR-robust feedback (DRF) code. At the encoder, parity symbols are generated by a long short term memory (LSTM) network based
Externí odkaz:
http://arxiv.org/abs/2112.11789
Autor:
Mura, Silvia, Linsalata, Francesco, Mizmizi, Marouan, Magarini, Maurizio, Khormuji, Majid Nasiri, Wang, Peng, Perotti, Alberto, Spagnolini, Umberto
Distributed resource allocation (RA) schemes have been introduced in cellular vehicle-to-everything (C-V2X) standard for vehicle-to-vehicle (V2V) sidelink (SL) communications to share the limited spectrum (sub-6GHz) efficiently. However, the recent p
Externí odkaz:
http://arxiv.org/abs/2111.07814
Autor:
Linsalata, Francesco, Mura, Silvia, Mizmizi, Marouan, Magarini, Maurizio, Wang, Peng, Khormuji, Majid Nasiri, Perotti, Alberto, Spagnolini, Umberto
Recent advances in Vehicle-to-Everything (V2X) technology and the upcoming sixth-generation (6G) network will dawn a new era for vehicular services with enhanced communication capabilities. Connected and Autonomous Vehicles (CAVs) are expected to del
Externí odkaz:
http://arxiv.org/abs/2111.07804
The Accumulative Iterative Code (AIC) proposed in this work is a new error correcting code for channels with feedback. AIC sends the information message to the receiver in a number of transmissions, where the initial transmission contains the uncoded
Externí odkaz:
http://arxiv.org/abs/2106.07415
Autor:
Safavi, Anahid Robert, Perotti, Alberto G., Popovic, Branislav M., Mashhadi, Mahdi Boloursaz, Gunduz, Deniz
A new deep-neural-network (DNN) based error correction encoder architecture for channels with feedback, called Deep Extended Feedback (DEF), is presented in this paper. The encoder in the DEF architecture transmits an information message followed by
Externí odkaz:
http://arxiv.org/abs/2105.01365
A new non-orthogonal multiple access scheme performing simultaneous transmission to multiple users characterized by different signal-to-noise ratios is proposed. Different users are multiplexed by storing their codewords into a multiplexing matrix ac
Externí odkaz:
http://arxiv.org/abs/1410.5579