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pro vyhledávání: '"A Medard"'
Guessing Codeword Decoding (GCD) is a recently proposed soft-input forward error correction decoder for arbitrary linear forward error correction codes. Inspired by recent proposals that leverage binary linear codebook structure to reduce the number
Externí odkaz:
http://arxiv.org/abs/2411.09803
We introduce a novel approach to error correction decoding in the presence of additive alpha-stable noise, which serves as a model of interference-limited wireless systems. In the absence of modifications to decoding algorithms, treating alpha-stable
Externí odkaz:
http://arxiv.org/abs/2410.22650
Large language models have drastically changed the prospects of AI by introducing technologies for more complex natural language processing. However, current methodologies to train such LLMs require extensive resources including but not limited to la
Externí odkaz:
http://arxiv.org/abs/2410.21548
Autor:
Landon, Laura, Vasudevan, Vipindev Adat, Kim, Jaeweon, Sung, Junmo, Masters, Jeffery Tony, Médard, Muriel
This paper presents several methods for minimizing packet service time in networks using 5G and beyond. We propose leveraging network coding alongside Hybrid Automatic Repeat reQuest (HARQ) to reduce service time as well as optimizing Modulation and
Externí odkaz:
http://arxiv.org/abs/2409.02788
We establish that it is possible to extract accurate blockwise and bitwise soft output from Guessing Codeword Decoding with minimal additional computational complexity by considering it as a variant of Guessing Random Additive Noise Decoding. Blockwi
Externí odkaz:
http://arxiv.org/abs/2406.11782
In this work, we introduce a new technique for taking a single-secret sharing scheme with a general access structure and transforming it into an individually secure multi-secret sharing scheme where every secret has the same general access structure.
Externí odkaz:
http://arxiv.org/abs/2405.06773
Autor:
Woo, Jongchan, Vasudevan, Vipindev Adat, Kim, Benjamin D., D'Oliveira, Rafael G. L., Cohen, Alejandro, Stahlbuhk, Thomas, Duffy, Ken R., Médard, Muriel
The Internet of Things (IoT) represents a significant advancement in digital technology, with its rapidly growing network of interconnected devices. This expansion, however, brings forth critical challenges in data security and reliability, especiall
Externí odkaz:
http://arxiv.org/abs/2405.05107
Autor:
Esfahanizadeh, Homa, Vasudevan, Vipindev Adat, Kim, Benjamin D., Siva, Shruti, Kim, Jennifer, Cohen, Alejandro, Médard, Muriel
Network slicing has emerged as an integral concept in 5G, aiming to partition the physical network infrastructure into isolated slices, customized for specific applications. We theoretically formulate the key performance metrics of an application, in
Externí odkaz:
http://arxiv.org/abs/2404.17686
Modern computationally-intensive applications often operate under time constraints, necessitating acceleration methods and distribution of computational workloads across multiple entities. However, the outcome is either achieved within the desired ti
Externí odkaz:
http://arxiv.org/abs/2402.07229
We present a framework that can exploit the tradeoff between the undetected error rate (UER) and block error rate (BLER) of polar-like codes. It is compatible with all successive cancellation (SC)-based decoding methods and relies on a novel approxim
Externí odkaz:
http://arxiv.org/abs/2402.05004