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In contrast to its wired counterpart, wireless communication is highly susceptible to eavesdropping due to the broadcast nature of the wireless propagation medium. Recent works have proposed the use of interference to reduce eavesdropping…

Information Theory · Computer Science 2016-05-04 Liangzhong Ruan , Vincent K. N. Lau , Moe Z. Win

We develop an interference alignment (IA) technique for a downlink cellular system. In the uplink, IA schemes need channel-state-information exchange across base-stations of different cells, but our downlink IA technique requires feedback…

Information Theory · Computer Science 2015-03-13 Changho Suh , Minnie Ho , David Tse

Communication in Millimeter wave (mmWave) band relies on narrow beams due to directionality, high path loss, and shadowing. One can use beam alignment (BA) techniques to find and adjust the direction of these narrow beams. In this paper, BA…

Information Theory · Computer Science 2022-01-19 Abbas Khalili , Shahram Shahsavari , Mohammad A. Amir Khojastepour , Elza Erkip

Recent advancements in Blind Image Restoration (BIR) methods, based on Generative Adversarial Networks and Diffusion Models, have significantly improved visual quality. However, they present significant challenges for Image Quality…

Image and Video Processing · Electrical Eng. & Systems 2025-08-11 Xiaojun Tang , Jingru Wang , Guangwei Huang , Guannan Chen , Rui Zheng , Lian Huai , Yuyu Liu , Xingqun Jiang

A private information retrieval (PIR) scheme on coded storage systems with colluding, byzantine, and non-responsive servers is presented. Furthermore, the scheme can also be used for symmetric PIR in the same setting. An explicit scheme…

Information Theory · Computer Science 2018-09-06 Razane Tajeddine , Oliver W. Gnilke , David Karpuk , Ragnar Freij-Hollanti , Camilla Hollanti

In this work, a flexible and robust private information retrieval (PIR) scheme based on binary non-maximum distance separable (non-MDS) codes is considered. This combines previous works on PIR schemes based on transitive non-MDS codes on…

Information Theory · Computer Science 2022-02-21 Perttu Saarela , Matteo Allaix , Ragnar Freij-Hollanti , Camilla Hollanti

Dimensionality requirement poses a major challenge for Interference alignment (IA) in practical systems. This work evaluates the necessary and sufficient conditions on channel structure of a fully connected general interference network to…

Information Theory · Computer Science 2016-01-25 Zainalabedin Samadi , Vahid Tabatabavakili , Farzan Haddadi

In this paper, we analyze a multiple-input multiple-output (MIMO) interference channel where nodes are randomly distributed on a plane as a spatial Poisson cluster point process. Each cluster uses interference alignment (IA) to suppress…

Information Theory · Computer Science 2012-07-20 Behrang Nosrat-Makouei , Radha Krishna Ganti , Jeffrey G. Andrews , Robert W. Heath

We consider the total (upload plus download) communication cost of two-database symmetric private information retrieval (SPIR) through its relationship to conditional disclosure of secrets (CDS). In SPIR, a user wishes to retrieve a message…

Information Theory · Computer Science 2022-01-31 Zhusheng Wang , Sennur Ulukus

We study a class of private information retrieval (PIR) methods that we call one-shot schemes. The intuition behind one-shot schemes is the following. The user's query is regarded as a dot product of a query vector and the message vector…

Information Theory · Computer Science 2018-10-16 Rafael G. L. D'Oliveira , Salim El Rouayheb

The framework of Partial Information Decomposition (PID) unveils complex nonlinear interactions in network systems by dissecting the mutual information (MI) between a target variable and several source variables. While PID measures have…

Data Analysis, Statistics and Probability · Physics 2024-09-23 Chiara Barà , Yuri Antonacci , Marta Iovino , Ivan Lazic , Luca Faes

Communication in high frequencies such as millimeter wave and terahertz suffer from high path-loss and intense shadowing which necessitates beamforming for reliable data transmission. On the other hand, at high frequencies the channels are…

Machine Learning · Computer Science 2021-02-23 Abbas Khalili , Sundeep Rangan , Elza Erkip

Private information retrieval (PIR) is the problem of privately retrieving one out of $M$ original files from $N$ severs, i.e., each individual server learns nothing about the file that the user is requesting. Usually, the $M$ files are…

Information Theory · Computer Science 2020-03-13 Jie Li , David Karpuk , Camilla Hollanti

We introduce the problem of private computation, comprised of $N$ distributed and non-colluding servers, $K$ independent datasets, and a user who wants to compute a function of the datasets privately, i.e., without revealing which function…

Information Theory · Computer Science 2017-11-28 Hua Sun , Syed A. Jafar

Private information retrieval (PIR), a privacy-preserving cryptographic tool, solves a simplified version of this problem by hiding the database item that a client accesses. Most PIR protocols require the client to know the exact row index…

Cryptography and Security · Computer Science 2024-03-21 Syed Mahbub Hafiz , Chitrabhanu Gupta , Warren Wnuck , Brijesh Vora , Chen-Nee Chuah

We define a variation on the well-known problem of private message transmission. This new problem called private randomness agreement (PRA) gives two participants access to a public, authenticated channel alongside the main channels, and…

Information Theory · Computer Science 2023-02-15 René Bødker Christensen , Petar Popovski

We study the symmetric private information retrieval (SPIR) problem under arbitrary collusion and eavesdropping patterns for replicated databases. We find its capacity, which is the same as the capacity of the original SPIR problem with the…

Information Theory · Computer Science 2020-10-19 Jiale Cheng , Nan Liu , Wei Kang

In this paper, we study the number of different interference alignment (IA) solutions in a K-user multiple-input multiple-output (MIMO) interference channel, when the alignment is performed via beamforming and no symbol extensions are…

Information Theory · Computer Science 2014-05-30 Óscar González , Carlos Beltrán , Ignacio Santamaría

We study the potential of data-driven deep learning methods for separation of two communication signals from an observation of their mixture. In particular, we assume knowledge on the generation process of one of the signals, dubbed signal…

Signal Processing · Electrical Eng. & Systems 2023-06-28 Alejandro Lancho , Amir Weiss , Gary C. F. Lee , Jennifer Tang , Yuheng Bu , Yury Polyanskiy , Gregory W. Wornell

We consider information-theoretical private information retrieval (PIR) from a coded database with colluding servers. We target, for the first time, locally repairable storage codes (LRCs). We consider any number of local groups $ g $,…

Information Theory · Computer Science 2024-03-20 Umberto Martínez-Peñas
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