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This paper studies secrecy-capacity of an $n$-dimensional Gaussian wiretap channel under a peak-power constraint. This work determines the largest peak-power constraint $\bar{\mathsf{R}}_n$ such that an input distribution uniformly…

信息论 · 计算机科学 2023-05-17 Antonino Favano , Luca Barletta , Alex Dytso

In this work, a class of information theoretic secrecy problems is addressed where the eavesdropper channel states are completely unknown to the legitimate parties. In particular, MIMO wiretap channel models are considered where the channel…

信息论 · 计算机科学 2010-07-28 Xiang He , Aylin Yener

We study the secrecy capacity of a helper-assisted Gaussian wiretap channel with a source, a legitimate receiver, an eavesdropper and an external helper, where each terminal is equipped with multiple antennas. Determining the secrecy…

信息论 · 计算机科学 2015-09-16 Lingxiang Li , Zhi Chen , Jun Fang , and Athina P. Petropulu

Recent work has studied the benefits of caching in the interference channel, particularly by placing caches at the transmitters. In this paper, we study the two-user Gaussian interference channel in which caches are placed at both the…

信息论 · 计算机科学 2016-11-17 Jad Hachem , Urs Niesen , Suhas Diggavi

Providing security guarantees for wireless communication is critically important for today's applications. While previous work in this area has concentrated on radio frequency (RF) channels, providing security guarantees for RF channels is…

信息论 · 计算机科学 2015-03-13 Amine Laourine , Aaron B. Wagner

We consider the General Gaussian Multiple Access Wire-Tap Channel (GGMAC-WT). In this scenario, multiple users communicate with an intended receiver in the presence of an intelligent and informed eavesdropper who is as capable as the…

信息论 · 计算机科学 2007-07-13 Ender Tekin , Aylin Yener

This paper considers a degraded Gaussian broadcast channel over which Gaussian sources are to be communicated. When the sources are independent, this paper shows that hybrid coding achieves the optimal distortion region, the same as that of…

信息论 · 计算机科学 2009-06-16 Rajiv Soundararajan , Sriram Vishwanath

We consider the multi-antenna wiretap channel in which the transmitter wishes to send a confidential message to its receiver while keeping it secret to the eavesdropper. It has been known that the secrecy capacity of such a channel does not…

信息论 · 计算机科学 2016-11-17 Mari Kobayashi , Pablo Piantanida , Sheng Yang , Shlomo Shamai

This paper considers the problem of secret communication over a multiple access channel with generalized feedback. Two trusted users send independent confidential messages to an intended receiver, in the presence of a passive eavesdropper.…

信息论 · 计算机科学 2016-11-18 Xiaojun Tang , Ruoheng Liu , Predrag Spasojevic , H. Vincent Poor

In this work, an explicit wiretap coding scheme based on polar lattices is proposed to achieve the secrecy capacity of the additive white Gaussian noise (AWGN) wiretap channel. Firstly, polar lattices are used to construct secrecy-good…

信息论 · 计算机科学 2017-12-27 Ling Liu , Yanfei Yan , Cong Ling

The detection problem in the Gaussian interference channel is addressed, when transmitters employ non-Gaussian schemes designed for the single-user Gaussian channel. A structure consisting of a separate symbol-by-symbol detector and a hard…

信息论 · 计算机科学 2009-07-09 Jungwon Lee , Dimitris Toumpakaris , Hui-Ling Lou

We study the problem of two-user Gaussian multiple access channel (GMAC) in the presence of an external eavesdropper. In this problem, an eavesdropper receives a signal with a lower signal-to-noise ratio (SNR) compared to the legitimate…

信息论 · 计算机科学 2018-01-19 Sahar Shahbaz , Bahareh Akhbari , Reza Asvadi

In this paper, we study the state-dependent two-user interference channel, where the state information is non-causally known at both transmitters but unknown to either of the receivers. We first propose two coding schemes for the discrete…

信息论 · 计算机科学 2015-03-19 Lili Zhang , Jinhua Jiang , Shuguang Cui

We consider the wiretap channel, where the individual channel uses have memory or are influenced by an adversary. We analyze the explicit and computationally efficient construction of information-theoretically secure coding schemes which…

密码学与安全 · 计算机科学 2024-04-03 Esther Hänggi , Iyán Méndez Veiga , Ligong Wang

In this paper, we study the problem of secret communication over a Compound Multiple Access Channel (MAC). In this channel, we assume that one of the transmitted messages is confidential that is only decoded by its corresponding receiver…

信息论 · 计算机科学 2016-11-17 Hassan Zivari-Fard , Bahareh Akhbari , Mahmoud Ahmadian-Attari , Mohammad Reza Aref

The secrecy capacity of a discrete memoryless Gaussian Wire-Tap Channel when the input is from a finite complex constellation is studied. It is shown that the secrecy capacity curves of a finite constellation plotted against the SNR, for a…

信息论 · 计算机科学 2010-10-07 G. D. Raghava , B. Sundar Rajan

The capacity of the Gaussian cognitive interference channel, a variation of the classical two-user interference channel where one of the transmitters (referred to as cognitive) has knowledge of both messages, is known in several parameter…

信息论 · 计算机科学 2016-11-17 Stefano Rini , Daniela Tuninetti , Natasha Devroye

The paper establishes the capacity region of the Gaussian interference channel with many transmitter-receiver pairs constrained to use point-to-point codes. The capacity region is shown to be strictly larger in general than the achievable…

信息论 · 计算机科学 2011-02-15 Francois Baccelli , Abbas El Gamal , David Tse

The capacity of the two-user Gaussian interference channel has been open for thirty years. The understanding on this problem has been limited. The best known achievable region is due to Han-Kobayashi but its characterization is very…

信息论 · 计算机科学 2007-07-13 Raul Etkin , David Tse , Hua Wang

This paper studies a scalar Gaussian wiretap channel where instead of an average input power constraint, we consider a peak amplitude constraint on the input. The goal is to obtain insights into the secrecy-capacity and the structure of the…

信息论 · 计算机科学 2021-11-24 Luca Barletta , Alex Dytso