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相关论文: Equivalence for Networks with Adversarial State

200 篇论文

The growing need for reliable communication over untrusted networks has caused a renewed interest in adversarial channel models, which often behave much differently than traditional stochastic channel models. Of particular practical use is…

信息论 · 计算机科学 2021-04-16 Vinayak Suresh , Eric Ruzomberka , David J. Love

We address the arbitrarily varying channel (AVC) with colored Gaussian noise. The work consists of three parts. First, we study the general discrete AVC with fixed parameters, where the channel depends on two state sequences, one arbitrary…

信息论 · 计算机科学 2020-04-20 Uzi Pereg , Yossef Steinberg

The capacity of a network in which a multiple access channel (MAC) generates interference to a single-user channel is studied. An achievable rate region based on superposition coding and joint decoding is established for the discrete case.…

信息论 · 计算机科学 2012-09-06 Fangfang Zhu , Xiaohu Shang , Biao Chen , H. Vincent Poor

Motivated by results in optical communications, where the performance can degrade dramatically if the transmit power is sufficiently increased, the channel capacity is characterized for various kinds of memoryless vector channels. It is…

信息论 · 计算机科学 2015-03-20 Erik Agrell

We consider the problem of communication over a multi-path network in the presence of a causal adversary. The limited-view causal adversary is able to eavesdrop on a subset of links and also jam on a potentially overlapping subset of links…

信息论 · 计算机科学 2015-08-07 Qiaosheng Zhang , Swanand Kadhe , Mayank Bakshi , Sidharth Jaggi , Alex Sprintson

Consider several source nodes communicating across a wireless network to a destination node with the help of several layers of relay nodes. Recent work by Avestimehr et al. has approximated the capacity of this network up to an additive…

信息论 · 计算机科学 2013-06-05 Urs Niesen , Bobak Nazer , Phil Whiting

The capacity of time-varying channels with periodic feedback at the transmitter is evaluated. It is assumed that the channel state information is perfectly known at the receiver and is fed back to the transmitter at the regular…

信息论 · 计算机科学 2007-07-13 Mehdi Ansari Sadrabadi , Mohammad Ali Maddah-Ali , Amir K. Khandani

In this work, we study two models of arbitrarily varying channels, when causal side information is available at the encoder in a causal manner. First, we study the arbitrarily varying channel (AVC) with input and state constraints, when the…

信息论 · 计算机科学 2017-01-23 Uzi Pereg , Yossef Steinberg

With bandwidths on the order of a gigahertz in emerging wireless systems, high-resolution analog-to-digital convertors (ADCs) become a power consumption bottleneck. One solution is to employ low resolution one-bit ADCs. In this paper, we…

信息论 · 计算机科学 2015-11-09 Jianhua Mo , Robert W. Heath

We address the problem of universal communications over an unknown channel with an instantaneous noiseless feedback, and show how rates corresponding to the empirical behavior of the channel can be attained, although no rate can be…

信息论 · 计算机科学 2008-09-01 Ofer Shayevitz , Meir Feder

The topological interference management problem refers to the study of the capacity of partially connected linear (wired and wireless) communication networks with no channel state information at the transmitters (no CSIT) beyond the network…

信息论 · 计算机科学 2013-02-19 Hua Sun , Chunhua Geng , Syed A. Jafar

Information transmission over discrete-time channels with memoryless additive noise obeying a Cauchy, rather than Gaussian, distribution, are studied. The channel input satisfies an average power constraint. Upper and lower bounds to such…

信息论 · 计算机科学 2024-11-19 Shuqin Pang , Wenyi Zhang

We study communication over a Multiple Access Channel (MAC) where users can possibly be adversarial. The receiver is unaware of the identity of the adversarial users (if any). When all users are non-adversarial, we want their messages to be…

信息论 · 计算机科学 2023-09-12 Neha Sangwan , Mayank Bakshi , Bikash Kumar Dey , Vinod M. Prabhakaran

In this paper, the multiple access channel (MAC) with channel state is analyzed in a scenario where a) the channel state is known non-causally to the transmitters and b) there is perfect causal feedback from the receiver to the…

信息论 · 计算机科学 2007-07-13 Wei Wu , Sriram Vishwanath , Ari Arapostathis

A combinatorial framework for adversarial network coding is presented. Channels are described by specifying the possible actions that one or more (possibly coordinated) adversaries may take. Upper bounds on three notions of capacity (the…

信息论 · 计算机科学 2017-06-20 Alberto Ravagnani , Frank R. Kschischang

A class of cognitive interference channel with state is investigated, in which two transmitters (transmitters 1 and 2) communicate with two receivers (receivers 1 and 2) over an interference channel. The two transmitters jointly transmit a…

信息论 · 计算机科学 2012-07-10 Ruchen Duan Yingbin Liang

This work establishes that the physical layer can be used to perform information-theoretic authentication in additive white Gaussian noise channels, as long as the adversary is not omniscient. The model considered consists of an encoder,…

信息论 · 计算机科学 2021-11-12 Eric Graves , Allison Beemer , Jorg Kliewer , Oliver Kosut , Paul Yu

We derive the capacity region of arbitrarily varying multiple-access channels with conferencing encoders for both deterministic and random coding. For a complete description it is sufficient that one conferencing capacity is positive. We…

信息论 · 计算机科学 2012-11-21 Moritz Wiese , Holger Boche

We study communication over multiple access channels (MAC) where one of the users is possibly adversarial. When all users are non-adversarial, we want their messages to be decoded reliably. When an adversary is present, we consider two…

信息论 · 计算机科学 2019-04-29 Neha Sangwan , Mayank Bakshi , Bikash Kumar Dey , Vinod M. Prabhakaran

We consider keyless authentication for point-to-point communication in the presence of a myopic adversary. In particular, the adversary has access to a non-causal noisy version of the transmission and may use this knowledge to choose the…

信息论 · 计算机科学 2020-01-23 Allison Beemer , Eric Graves , Joerg Kliewer , Oliver Kosut , Paul Yu