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We develop a novel framework for proving converse theorems for channel coding, which is based on the analysis technique of multicast transmission with an additional auxiliary receiver, which serves as a genie to the original receiver. The…

信息论 · 计算机科学 2022-09-02 Anelia Somekh-Baruch

We address single-user data transmission over a channel where the received signal incurs interference from a finite number of users (interfering users) that use single codebooks for transmitting their own messages. The receiver, however, is…

信息论 · 计算机科学 2007-11-21 Abolfazl S. Motahari , Amir K. Khandani

We consider the problem of error control in a coded, multicast network, focusing on the scenario where the errors can occur only on a proper subset of the network edges. We model this problem via an adversarial noise, presenting a formal…

信息论 · 计算机科学 2022-05-31 Allison Beemer , Altan Berdan Kilic , Alberto Ravagnani

We introduce a method for securely delivering a set of messages to a group of clients over a broadcast erasure channel where each client is interested in a distinct message. Each client is able to obtain its own message but not the others'.…

信息论 · 计算机科学 2013-05-08 Shahriar Etemadi Tajbakhsh , Parastoo Sadeghi , Rodney Kennedy

This paper considers a multi-source multi-relay network, in which relay nodes employ a coding scheme based on random linear network coding on source packets and generate coded packets. If a destination node collects enough coded packets, it…

信息论 · 计算机科学 2022-03-08 Amjad Saeed Khan , Ioannis Chatzigeorgiou

This paper considers the problem of covert communication with mismatched decoding, in which a sender wishes to reliably communicate with a receiver whose decoder is fixed and possibly sub-optimal, and simultaneously to ensure that the…

信息论 · 计算机科学 2021-11-11 Qiaosheng Zhang , Vincent Y. F. Tan

We consider achieving the rates in the capacity region of a multi-level 3-receiver broadcast channel, in which the second receiver is degraded with respect to the first receiver, with degraded message sets. We propose a two-level chaining…

信息论 · 计算机科学 2020-10-15 Karthik Nagarjuna Tunuguntla , Paul H. Siegel

The problem of joint source-channel coding in transmitting independent sources over interference channels with correlated receiver side information is studied. When each receiver has side information correlated with its own desired source,…

信息论 · 计算机科学 2008-10-15 Nan Liu , Deniz Gunduz , Andrea J. Goldsmith , H. Vincent Poor

We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common receiver. In particular, we consider a pair of images…

信息论 · 计算机科学 2022-01-26 Sixian Wang , Ke Yang , Jincheng Dai , Kai Niu

The fading broadcast channel with confidential messages (BCC) is investigated, where a source node has common information for two receivers (receivers 1 and 2), and has confidential information intended only for receiver 1. The confidential…

信息论 · 计算机科学 2007-07-13 Yingbin Liang , H. Vincent Poor , Shlomo Shamai

Cooperation strategies allow communication devices to work together to improve network capacity. Consider a network consisting of a $k$-user multiple access channel (MAC) and a node that is connected to all $k$ encoders via rate-limited…

信息论 · 计算机科学 2016-11-17 Parham Noorzad , Michelle Effros , Michael Langberg

We present a capacity-achieving coding scheme for unicast or multicast over lossy packet networks. In the scheme, intermediate nodes perform additional coding yet do not decode nor even wait for a block of packets before sending out coded…

信息论 · 计算机科学 2008-04-11 Desmond S. Lun , Muriel Medard , Ralf Koetter , Michelle Effros

For information transmission a discrete time channel with independent additive Gaussian noise is used. There is also feedback channel with independent additive Gaussian noise, and the transmitter observes without delay all outputs of the…

信息论 · 计算机科学 2012-08-15 M. V. Burnashev , H. Yamamoto

For the information transmission over a binary symmetric channel the random coding is used. The transmission of exponential number of messages is considered. The exact decoding error probability exponent is derived. The proof is based on…

信息论 · 计算机科学 2026-05-20 Marat V. Burnashev

We consider the problem of reliable communication over multiple-access channels (MAC) where the channel is driven by an independent and identically distributed state process and the encoders and the decoder are provided with various degrees…

信息论 · 计算机科学 2012-01-20 Nevroz Şen , Fady Alajaji , Serdar Yüksel , Giacomo Como

This paper is motivated by a sensor network on a correlated field where nearby sensors share information, and can thus assist rather than interfere with one another. A special class of two-user Gaussian interference channels (IFCs) is…

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

In this paper, we use reinforcement learning to find effective decoding strategies for binary linear codes. We start by reviewing several iterative decoding algorithms that involve a decision-making process at each step, including…

信息论 · 计算机科学 2019-12-10 Fabrizio Carpi , Christian Häger , Marco Martalò , Riccardo Raheli , Henry D. Pfister

The state-dependent $K$-user memoryless Broadcast Channel~(BC) with state feedback is investigated. We propose a novel transmission scheme and derive its corresponding achievable rate region, which, compared to some general schemes that…

信息论 · 计算机科学 2017-05-16 Chao He , Sheng Yang , Pablo Piantanida

Previous works established the capacity region for some special cases of discrete memoryless degraded cognitive interference channel (CIC) with unidirectional destination cooperation (UDC). In this letter, we characterize the capacity…

信息论 · 计算机科学 2018-01-23 Mohammad Kazemi

In this work, we derive achievable rate regions for the three-user interference channels with asymmetric transmitter cooperation and various decoding capabilities at the receivers. The three-user channel facilitates different ways of…

信息论 · 计算机科学 2011-02-23 K. G. Nagananda , Chandra R. Murthy