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When two or more users in a wireless network transmit simultaneously, their electromagnetic signals are linearly superimposed on the channel. As a result, a receiver that is interested in one of these signals sees the others as unwanted…

Information Theory · Computer Science 2011-03-01 Bobak Nazer , Michael Gastpar

In this paper, we develop an efficient decoder via the proximal alternating direction method of multipliers (proximal-ADMM) technique for nonbinary linear block codes in the Galois field. Its main contents are as follows: first, exploiting…

Information Theory · Computer Science 2020-10-20 Yongchao Wang , Jing Bai

Linear algebra operations have been widely used in big data analytics and scientific computations. Many works have been done on optimizing linear algebra operations on GPUs with regular-shaped input. However, few works focus on fully…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-19 Cody Rivera , Jieyang Chen , Nan Xiong , Shuaiwen Leon Song , Dingwen Tao

This work provides a comprehensive derivation of the parameter gradients for GATv2 [4], a widely used implementation of Graph Attention Networks (GATs). GATs have proven to be powerful frameworks for processing graph-structured data and,…

Machine Learning · Computer Science 2023-04-24 Marion Neumeier , Andreas Tollkühn , Sebastian Dorn , Michael Botsch , Wolfgang Utschick

One of the oldest problems in coding theory is to match the Gilbert-Varshamov bound with explicit binary codes. Over larger-yet still constant-sized-fields, algebraic-geometry codes are known to beat the GV bound. In this work, we leverage…

Information Theory · Computer Science 2025-11-13 Gil Cohen , Dean Doron , Noam Goldgraber , Tomer Manket

We present a new general method for performing basic arithmetic in the finite field~$\mathbb{F}_p$ for any prime $p>2$ by using traditional binary operations over~$\mathbb{F}_2$. Our new approach is efficient and competitive with current…

Information Theory · Computer Science 2026-04-01 Fernando Hernando , Gregorio Quintana-Ortí

Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technique to achieve ultra-high spectral efficiency for future 6G communications. The mixed line-of-sight (LoS) and non-line-of-sight (NLoS) XL-MIMO near-field…

Signal Processing · Electrical Eng. & Systems 2024-06-18 Ming Ye , Xiao Liang , Cunhua Pan , Yinfei Xu , Ming Jiang , Chunguo Li

Recent years have seen substantial progress in neural generation of text, images, and audio, supported by mature training pipelines and large-scale optimization. For graphs, however, comparable progress has been more limited. We attribute…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 André Eberhard , Gerhard Neumann , Pascal Friederich

In this letter, we evaluate the finite-length performance of network coding when using either random or structured encoding matrices. First, we present our novel construction of structured network codes over Fq (q = 2^m) using Pascal…

Networking and Internet Architecture · Computer Science 2019-11-28 Tan Do-Duy , M. Angeles Vazquez-Castro

This paper considers vector network coding based on rank-metric codes and subspace codes. Our main result is that vector network coding can significantly reduce the required field size compared to scalar linear network coding in the same…

Information Theory · Computer Science 2016-05-16 Tuvi Etzion , Antonia Wachter-Zeh

We construct optimal secure coded distributed schemes that extend the known optimal constructions over fields of characteristic 0 to all fields. A serendipitous result is that we can encode \emph{all} functions over finite fields with a…

Information Theory · Computer Science 2025-04-28 Pedro Soto

Extremely large-scale MIMO (XL-MIMO) is a promising technique for future 6G communications. The sharp increase in the number of antennas causes electromagnetic propagation to change from far-field to near-field. Due to the near-field…

Information Theory · Computer Science 2023-05-25 Yu Lu , Zijian Zhang , Linglong Dai

An optimal linear coding solution for index coding problem is established. Instead of network coding approach by focus on graph theoric and algebraic methods a linear coding program for solving both unicast and groupcast index coding…

Information Theory · Computer Science 2015-05-08 Pouya Pezeshkpour

Satellite networks provide unique challenges that can restrict users' quality of service. For example, high packet erasure rates and large latencies can cause significant disruptions to applications such as video streaming or voice-over-IP.…

Networking and Internet Architecture · Computer Science 2015-06-23 Jason Cloud , Muriel Medard

Bayesian methodologies prioritising accurate associations above sparsity in Gaussian graphical model (GGM) estimation remain relatively scarce in scientific literature. It is well accepted that the $\ell_2$ penalty enjoys a smaller…

Methodology · Statistics 2022-10-31 J. Smith , M. Arashi , A. Bekker

For analysing real-world networks, graph representation learning is a popular tool. These methods, such as a graph autoencoder (GAE), typically rely on low-dimensional representations, also called embeddings, which are obtained through…

Machine Learning · Computer Science 2024-02-05 Ruikang Ouyang , Andrew Elliott , Stratis Limnios , Mihai Cucuringu , Gesine Reinert

This paper presents the first decoding algorithm for Gabidulin codes over Galois rings with provable quadratic complexity. The new method consists of two steps: (1) solving a syndrome-based key equation to obtain the annihilator polynomial…

Information Theory · Computer Science 2021-02-04 Sven Puchinger , Julian Renner , Antonia Wachter-Zeh , Jens Zumbrägel

Software is often used for Network Functions (NFs) -- such as firewalls, NAT, deep packet inspection, and encryption -- that are applied to traffic in the network. The community has hoped that NFV would enable rapid development of new NFs…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-19 Jianfeng Wang , Tamás Lévai , Zhuojin Li , Marcos A. M. Vieira , Ramesh Govindan , Barath Raghavan

In this paper, we construct four families of linear codes over finite fields from the complements of either the union of subfields or the union of cosets of a subfield, which can produce infinite families of optimal linear codes, including…

Information Theory · Computer Science 2021-08-24 Zhao Hu , Nian Li , Xiangyong Zeng , Lisha Wang , Xiaohu Tang

We initiate the study of what we term ``fast good codes'' with ``fast good duals.'' Specifically, we consider the task of constructing a rate 1/2 binary linear code such that both it and its dual are asymptotically good (in fact, have…

Information Theory · Computer Science 2026-01-12 Martijn Brehm , Nicolas Resch
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