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We generalize the problem of controlling the interference created to an external observer while communicating over a discrete memoryless channel (DMC) which was studied in \cite{serrano:2014}. In particular, we consider the scenario where…

Information Theory · Computer Science 2021-06-04 Michail Mylonakis , Photios A. Stavrou , Mikael Skoglund

In this paper, we introduce the Causal Cognitive Interference Channel With Delay (CC-IFC-WD) in which the cognitive user transmission can depend on $L$ future received symbols as well as the past ones. Taking the effect of the link delays…

Information Theory · Computer Science 2012-02-06 Mahtab Mirmohseni , Bahareh Akhbari , Mohammad Reza Aref

In this paper, we propose a low-complexity, secrecy capacity achieving polar coding scheme for the cognitive interference channel with confidential messages (CICC) under the strong secrecy criterion. Existing polar coding schemes for…

Information Theory · Computer Science 2017-10-30 Mengfan Zheng , Wen Chen , Cong Ling

We propose an iterative method for approximately computing the capacity of discrete memoryless channels, possibly under additional constraints on the input distribution. Based on duality of convex programming, we derive explicit upper and…

Information Theory · Computer Science 2015-04-06 Tobias Sutter , David Sutter , Peyman Mohajerin Esfahani , John Lygeros

In this paper the cognitive interference channel with a common message, a variation of the classical cognitive interference channel in which the cognitive message is decoded at both receivers, is studied. For this channel model new outer…

Information Theory · Computer Science 2012-08-21 Stefano Rini , Carolin Huppert

Channel capacity estimation plays a crucial role in beyond 5G intelligent communications. Despite its significance, this task is challenging for a majority of channels, especially for the complex channels not modeled as the well-known…

Information Theory · Computer Science 2023-12-05 Zhefan Li , Rui She , Pingyi Fan , Chenghui Peng , Khaled B. Letaief

This paper considers a variation of the classical two-user interference channel where the communication of two interfering source-destination pairs is aided by an additional node that has a priori knowledge of the messages to be…

Information Theory · Computer Science 2014-09-09 Alex Dytso , Stefano Rini , Natasha Devroye , Daniela Tuninetti

This study investigates the capacity region of a three-user cognitive radio network with two primary users and one cognitive user. A three-user Cognitive Interference Channel (C-IFC) is proposed by considering a three-user Interference…

Information Theory · Computer Science 2012-06-20 Mahtab Mirmohseni , Bahareh Akhbari , Mohammad Reza Aref

In this paper the study of the cognitive interference channel with a common message, a variation of the classical cognitive interference channel in which the cognitive message is decoded at both receivers. We derive the capacity for the…

Information Theory · Computer Science 2012-02-07 Stefano Rini , Carolin Huppert

Cognitive radios have been studied recently as a means to utilize spectrum in a more efficient manner. This paper focuses on the fundamental limits of operation of a MIMO cognitive radio network with a single licensed user and a single…

Information Theory · Computer Science 2009-11-13 Sriram Sridharan , Sriram Vishwanath

The capacity region of a broadcast channel consisting of k-receivers that lie in a less noisy sequence is an open problem, when k >= 3. We solve this problem for the case k=3. We prove that superposition coding is optimal for a class of…

Information Theory · Computer Science 2010-04-26 Chandra Nair , Zizhou Vincent Wang

This paper studies the capacity of the two-user intensity-modulation/direct-detection (IM/DD) interference channel (IC), which is relevant in the context of multi-user optical wireless communications. Despite some known single-letter…

Information Theory · Computer Science 2022-07-05 Zhenyu Zhang , Anas Chaaban

In this paper, the problem of determining the capacity of a communication channel is formulated as a cooperative game, between a generator and a discriminator, that is solved via deep learning techniques. The task of the generator is to…

Information Theory · Computer Science 2023-05-24 Nunzio A. Letizia , Andrea M. Tonello , H. Vincent Poor

We consider a two-user state-dependent multiaccess channel in which the states of the channel are known non-causally to one of the encoders and only strictly causally to the other encoder. Both encoders transmit a common message and, in…

Information Theory · Computer Science 2012-01-17 Abdellatif Zaidi , Pablo Piantanida , Shlomo Shamai

In this paper, we consider noncoherent random linear coding networks (RLCNs) as a discrete memoryless channel (DMC) whose input and output alphabets consist of subspaces. This contrasts with previous channel models in the literature which…

Information Theory · Computer Science 2010-01-13 Bartolomeu F. Uchoa-Filho , Roberto W. Nobrega

Computing capacity of Gaussian Interference Channel (GIC) is complex since knowledge of input distributions is needed to find the mutual information terms in closed forms, which should be optimized over input distributions and associated…

Information Theory · Computer Science 2020-12-09 Amir K. Khandani

Calculating the capacity (with or without feedback) of channels with memory and continuous alphabets is a challenging task. It requires optimizing the directed information (DI) rate over all channel input distributions. The objective is a…

Information Theory · Computer Science 2020-05-19 Ziv Aharoni , Dor Tsur , Ziv Goldfeld , Haim Henry Permuter

The capacity region of the 2-user multi-input multi-output (MIMO) Gaussian interference channel (IC) is characterized to within a constant gap that is independent of the channel matrices for the general case of the MIMO IC with an arbitrary…

Information Theory · Computer Science 2015-03-18 Sanjay Karmakar , Mahesh K. Varanasi

This work introduces the particle-intensity channel (PIC) as a model for molecular communication systems and characterizes the properties of the optimal input distribution and the capacity limits for this system. In the PIC, the transmitter…

Information Theory · Computer Science 2017-05-24 Nariman Farsad , Christopher Rose , Muriel Médard , Andrea Goldsmith

Deterministic identification (DI) has emerged as a promising paradigm for large-scale and goal-oriented communication systems. Despite significant progress, a fundamental open problem has remained unresolved: a persistent gap between the…

Information Theory · Computer Science 2026-04-14 Pau Colomer , Christian Deppe , Holger Boche , Andreas Winter