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In this paper, we propose a low complexity graph-based linear minimum mean square error (LMMSE) equalizer in order to remove inter-symbol and inter-stream interference in multiple input multiple output (MIMO) communication. The proposed…

Information Theory · Computer Science 2017-01-04 Pinar Sen , Ali Ozgur Yilmaz

Super-resolution theory aims to estimate the discrete components lying in a continuous space that constitute a sparse signal with optimal precision. This work investigates the potential of recent super-resolution techniques for spectral…

Information Theory · Computer Science 2016-11-24 M. Ferreira Da Costa , W. Dai

The capacity of symmetric, neighboring and consecutive side-information single unicast index coding problems (SNC-SUICP) with number of messages equal to the number of receivers was given by Maleki, Cadambe and Jafar. For these index coding…

Information Theory · Computer Science 2017-05-17 Mahesh Babu Vaddi , B. Sundar Rajan

In this paper, we present an improved union bound on the Linear Programming (LP) decoding performance of the binary linear codes transmitted over an additive white Gaussian noise channels. The bounding technique is based on the second-order…

Information Theory · Computer Science 2012-03-09 Ohad Gidon , Yair Be'ery

Semantic communication (SemCom) is accelerating its momentum to catch up with the massive increase in users' demands in both quantity and quality, with the assistance of advanced deep learning (DL) techniques. Specifically, SemCom can…

Information Theory · Computer Science 2026-05-11 Loc X. Nguyen , Phuong-Nam Tran , Trung Thanh Pham , Avi Deb Raha , Eui-Nam Huh , Zhu Han , Choong Seon Hong

We analyze the symbol error probability (SEP) of $M$-ary pulse amplitude modulation ($M$-PAM) receivers equipped with optimal low-resolution quantizers. We first show that the optimum detector can be reduced to a simple decision rule. Using…

Signal Processing · Electrical Eng. & Systems 2021-08-06 Neil Irwin Bernardo , Jingge Zhu , Jamie Evans

In this letter, we study the optimal solution of the multiuser symbol-level precoding (SLP) for minimization of the total transmit power under given signal-to-interference-plus-noise ratio (SINR) constraints. Adopting the distance…

Signal Processing · Electrical Eng. & Systems 2018-07-30 A. Haqiqatnejad , F. Kayhan , B. Ottersten

In this paper, we investigate the downlink transmission of a multiuser multiple-input single-output (MISO) channel under a symbol-level precoding (SLP) scheme, having imperfect channel knowledge at the transmitter. In defining the SLP…

Signal Processing · Electrical Eng. & Systems 2018-08-14 Alireza Haqiqatnejad , Farbod Kayhan , Bjorn Ottersten

This paper investigates a joint beamforming design in a multiuser multiple-input single-output (MISO) communication network aided with an intelligent reflecting surface (IRS) panel. The symbol-level precoding (SLP) is adopted to enhance the…

Information Theory · Computer Science 2021-09-01 Guangyang Zhang , Chao Shen , Bo Ai , Zhangdui Zhong

We study finite-sum nonlinear programs with localized variable coupling encoded by a (hyper)graph. We introduce a graph-compliant decomposition framework that brings message passing into continuous optimization in a rigorous, implementable,…

Optimization and Control · Mathematics 2026-01-19 Kuangyu Ding , Marie Maros , Gesualdo Scutari

We propose a linear programming (LP) framework for steady-state diffusion and flux optimization on geometric networks. The state variable satisfies a discrete diffusion law on a weighted, oriented graph, where conductances are scaled by…

Optimization and Control · Mathematics 2025-11-06 Harbir Antil , Rainald Löhner , Felipe Pérez

We investigate the multiple-input multiple-output broadcast channel with statistical channel state information available at the transmitter. The so-called linear assignment operation is employed, and necessary conditions are derived for the…

Information Theory · Computer Science 2015-06-22 Yongpeng Wu , Shi Jin , Xiqi Gao , Matthew R. McKay , Chengshan Xiao

This paper considers a network where a node wishes to transmit a source message to a legitimate receiver in the presence of an eavesdropper. The transmitter secures its transmissions employing a sparse implementation of Random Linear…

Information Theory · Computer Science 2019-03-25 Andrea Tassi , Robert J. Piechocki , Andrew Nix

Index coding, a source coding problem over broadcast channels, has been a subject of both theoretical and practical interest since its introduction (by Birk and Kol, 1998). In short, the problem can be defined as follows: there is an input…

Information Theory · Computer Science 2019-04-11 Abhishek Agarwal , Larkin Flodin , Arya Mazumdar

This paper investigates the construction of linear network codes for broadcasting a set of data packets to a number of users. The links from the source to the users are modeled as independent erasure channels. Users are allowed to inform…

Information Theory · Computer Science 2013-12-10 Chi Wan Sung , Linyu Huang , Ho Yuet Kwan , Kenneth W. Shum

Large graph datasets make training graph neural networks (GNNs) computationally costly. Graph condensation methods address this by generating small synthetic graphs that approximate the original data. However, existing approaches rely on…

Machine Learning · Computer Science 2026-01-16 Jay Nandy , Arnab Kumar Mondal , Anuj Rathore , Mahesh Chandran

In this letter, we investigate the joint receiver design for integrated sensing and communication (ISAC) systems, where the communication signal and the target echo signal are simultaneously received and processed to achieve a balanced…

Signal Processing · Electrical Eng. & Systems 2023-05-09 Yuxiang Dong , Fan Liu , Yifeng Xiong

We present lower bounds on the minimum pseudocodeword effective Euclidean distance (or minimum "pseudodistance") for coded modulation systems using linear codes with $q$-ary phase-shift keying (PSK) modulation over the additive white…

Information Theory · Computer Science 2008-06-12 Vitaly Skachek , Mark F. Flanagan

In this paper, we study grant-free, asynchronous control-to-control (C2C) communications in an indoor scenario with a shared wireless channel. Each communication node transmits command units, each consisting of a variable-length low-density…

Information Theory · Computer Science 2026-05-13 Massimo Battaglioni , Edoardo Carnevali , Dania De Crescenzo , Enrico Testi , Marco Baldi , Enrico Paolini

This paper presents enhanced receiver metrics for joint estimation-detection in short blocklength transmissions, addressing scenarios with unknown channel state information and low or sparse training resource density. We show that it is…

Information Theory · Computer Science 2025-10-08 Mody Sy , Raymond Knopp
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