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Related papers: Recurrence region of multiuser Aloha

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We study two distinct, but overlapping, networks that operate at the same time, space, and frequency. The first network consists of $n$ randomly distributed \emph{primary users}, which form either an ad hoc network, or an…

Information Theory · Computer Science 2016-11-17 Sang-Woon Jeon , Natasha Devroye , Mai Vu , Sae-Young Chung , Vahid Tarokh

New upper bounds on the first and the second Hilbert coefficients of a Cohen-Macaulay module over a local ring are given. Characterizations are provided for some upper bounds to be attained. The characterizations are given in terms of…

Commutative Algebra · Mathematics 2022-06-09 Le Xuan Dung , Juan Elias , Le Tuan Hoa

This paper is devoted to the extension of the regret lower bound beyond ergodic Markov decision processes (MDPs) in the problem dependent setting. While the regret lower bound for ergodic MDPs is well-known and reached by tractable…

Machine Learning · Computer Science 2025-01-23 Victor Boone , Odalric-Ambrym Maillard

Interference is a main limiting factor of the performance of a wireless ad hoc network. The temporal and the spatial correlation of the interference makes the outages correlated temporally (important for retransmissions) and spatially…

Information Theory · Computer Science 2010-10-11 Radha Krishna Ganti , Martin Haenggi

In this effort, we derive a formula for the integral representation of a shallow neural network with the Rectified Power Unit activation function. Mainly, our first result deals with the univariate case of representation capability of RePU…

Neural and Evolutionary Computing · Computer Science 2021-12-22 Ahmed Abdeljawad , Philipp Grohs

Many-user MAC is an important model for understanding energy efficiency of massive random access in 5G and beyond. Introduced in Polyanskiy'2017 for the AWGN channel, subsequent works have provided improved bounds on the asymptotic minimum…

Information Theory · Computer Science 2022-01-05 Suhas S Kowshik

An important issue in neural network research is how to choose the number of nodes and layers such as to solve a classification problem. We provide new intuitions based on earlier results by An et al. (2015) by deriving an upper bound on…

Machine Learning · Statistics 2018-02-13 Marjolein Troost , Katja Seeliger , Marcel van Gerven

We derive upper bounds on the complexity of ReLU neural networks approximating the solution of a linear system given the matrix and the right-hand side. We focus on matrices which are symmetric positive definite and sparse, as they appear…

Numerical Analysis · Mathematics 2026-03-20 Benjamin Dörich , Roland Maier , Lukas Ullmer

In this paper, we consider the standard discrete-time slotted ALOHA with a finite number of terminals with infinite size buffers. In our study, we jointly consider the stability of this system together with the physical layer security. We…

Information Theory · Computer Science 2009-10-29 Yunus Sarikaya , Ozgur Ercetin

New asymptotic upper bounds are presented on the rate of sequences of locally repairable codes (LRCs) with a prescribed relative minimum distance and locality over a finite field $F$. The bounds apply to LRCs in which the recovery functions…

Information Theory · Computer Science 2020-10-28 Ron M. Roth

Neural circuits comprise multiple interconnected regions, each with complex dynamics. The interplay between local and global activity is thought to underlie computational flexibility, yet the structure of multiregion neural activity and its…

Neurons and Cognition · Quantitative Biology 2025-01-09 David G. Clark , Manuel Beiran

In this paper, an improved ALOHA-based unsourced random access (URA) scheme is proposed in MIMO channels. The channel coherent interval is divided into multiple sub-slots and each active user selects several sub-slots to send its codeword,…

Information Theory · Computer Science 2025-05-06 Linjie Yang , Pingzhi Fan , Zhiguo Ding , Jingqiu Gao

We establish a new outer bound for the capacity region of product broadcast channels. This outer bound matches Marton's inner bound for a variety of classes of product broadcast channels whose capacity regions were previously unknown. These…

Information Theory · Computer Science 2026-04-01 Yanlin Geng , Amin Gohari , Chandra Nair , Yuanming Yu

We provide in this paper a comprehensive delay and queueing analysis for two baseline medium access control (MAC) protocols for multi-user cognitive radio (CR) networks and investigate the impact of different network parameters, such as…

Networking and Internet Architecture · Computer Science 2014-03-28 Arash Azarfar , Jean-François Frigon , Brunilde Sansò

We consider reversible random walks in random environment obtained from symmetric long--range jump rates on a random point process. We prove almost sure transience and recurrence results under suitable assumptions on the point process and…

Probability · Mathematics 2015-11-30 P. Caputo , A. Faggionato , A. Gaudilliere

In this paper, we consider a decentralized wireless communication network with a fixed number $u$ of frequency sub-bands to be shared among $N$ transmitter-receiver pairs. It is assumed that the number of active users is a random variable…

Information Theory · Computer Science 2009-12-01 Kamyar Moshksar , Alireza Bayesteh , Amir K. Khandani

We consider recursive decoding techniques for RM codes, their subcodes, and newly designed codes. For moderate lengths up to 512, we obtain near-optimum decoding with feasible complexity.

Information Theory · Computer Science 2017-03-17 Ilya Dumer , Kirill Shabunov

This paper studies a wireless network consisting of multiple transmitter-receiver pairs where interference is treated as noise. Previously, the throughput region of such networks was characterized for either one time slot or an infinite…

Information Theory · Computer Science 2016-11-08 Yirui Cong , Xiangyun Zhou , Rodney A. Kennedy

In this paper, an interference network with arbitrary number of transmitters and receivers is studied, where each transmitter is equipped with a finite size cache. We obtain an information-theoretic lower bound on both the peak normalized…

Information Theory · Computer Science 2018-12-07 Antonious M. Girgis , Ozgur Ercetin , Mohammed Nafie , Tamer ElBatt

The injectivity of ReLU layers in neural networks, the recovery of vectors from clipped or saturated measurements, and (real) phase retrieval in $\mathbb{R}^n$ allow for a similar problem formulation and characterization using frame theory.…

Machine Learning · Computer Science 2025-02-17 Daniel Freeman , Daniel Haider