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In this paper, the issue of designing an iterative-detection-and-decoding (IDD)-aided receiver, relying on the low-complexity probabilistic data association (PDA) method, is addressed for turbo-coded multiple-input-multiple-output (MIMO)…

Information Theory · Computer Science 2013-11-08 Shaoshi Yang , Li Wang , Tiejun Lv , Lajos Hanzo

Extensive research on Reconfigurable Intelligent Surfaces (RIS) has primarily focused on optimizing reflective coefficients for passive beamforming in specific target directions. This optimization typically assumes prior knowledge of the…

Signal Processing · Electrical Eng. & Systems 2025-12-05 Xiao Cai , Hei Victor Cheng , Daniel E. Lucani

The performance of different probabilistic amplitude shaping (PAS) techniques in the nonlinear regime is investigated, highlighting its dependence on the PAS block length and the interaction with carrier phase recovery (CPR). Different PAS…

Information Theory · Computer Science 2023-05-24 Stella Civelli , Emanuele Parente , Enrico Forestieri , Marco Secondini

The frequency diverse array (FDA) based directional modulation (DM) technology plays an important role in the implementation of the physical-layer security (PLS) transmission of 5G and beyond communication system. In order to meet the…

Signal Processing · Electrical Eng. & Systems 2019-10-02 Qian Cheng , Shilian Wang , Vincent Fusco , Fanggang Wang , Jiang Zhu , Chao Gu

As a power and bandwidth efficient modulation scheme, the optical spatial modulation (SM) technique has recently drawn increased attention in the field of visible light communications (VLC). To guarantee the number of bits mapped by the…

Information Theory · Computer Science 2018-07-27 Jin-Yuan Wang , Hong Ge , Jian-Xia Zhu , Jun-Bo Wang , Jianxin Dai , Min Lin

Channel Estimation is a major problem encountered by receiver designers for wireless communications systems. The fading channels encountered by the system are usually time variant for a mobile receiver. Besides, the frequency response of…

Networking and Internet Architecture · Computer Science 2014-06-18 Ahmed M. Alaa

This work presents joint interference suppression and power allocation algorithms for DS-CDMA networks with multiple hops and decode-and-forward (DF) protocols. A scheme for joint allocation of power levels across the relays subject to…

Information Theory · Computer Science 2013-04-09 Rodrigo C. de Lamare

In this paper, the design and analysis of a new bandwidth-efficient signaling method over the bandlimited intensity-modulated direct-detection (IM/DD) channel is presented. The channel can be modeled as a bandlimited channel with…

Information Theory · Computer Science 2015-03-19 Mehrnaz Tavan , Erik Agrell , Johnny Karout

An essential metric for the quality of a particle-identification experiment is its statistical power to discriminate between signal and background. Pulse shape discrimination (PSD) is a basic method for this purpose in many nuclear,…

Instrumentation and Detectors · Physics 2024-05-17 Shubham Dutta , Sayan Ghosh , Satyaki Bhattacharya , Satyajit Saha

The superimposed pilot transmission scheme offers substantial potential for improving spectral efficiency in MIMO-OFDM systems, but it presents significant challenges for receiver design due to pilot contamination and data interference. To…

Information Theory · Computer Science 2025-07-15 Xinjie Li , Xingyu Zhou , Yixiao Cao , Jing Zhang , Chao-Kai Wen , Xiao Li , Shi Jin

In this paper we carry out a joint optimization of probabilistic (PS) and geometric shaping (GS) for four-dimensional (4D) modulation formats in long-haul coherent wavelength division multiplexed (WDM) optical fiber communications using an…

The load pick-up (LPP) problem searches the optimal configuration of the electrical distribution system (EDS), aiming to minimize the power loss or provide maximum power to the load ends. The piecewise linearization (PWL) approximation…

Optimization and Control · Mathematics 2018-11-27 Jingyang Yun , Yun Zhou , Weidong Hu , Peichao Zhang , Zheng Yan , Donghan Feng

In phase retrieval, the goal is to recover a complex signal from the magnitude of its linear measurements. While many well-known algorithms guarantee deterministic recovery of the unknown signal using i.i.d. random measurement matrices,…

Information Theory · Computer Science 2017-03-24 Boshra Rajaei , Sylvain Gigan , Florent Krzakala , Laurent Daudet

Chance-constrained optimization has emerged as a promising framework for managing uncertainties in power systems. This work advances its application to the DC Optimal Power Flow (DC-OPF) model, developing a novel approach to uncertainty…

Systems and Control · Electrical Eng. & Systems 2026-03-18 Tianyang Yi , D. Adrian Maldonado , Anirudh Subramanyam

This paper addresses the challenge of amplitude-unbounded false data injection (FDI) attacks targeting the sensor-to-controller (S-C) channel in cyber-physical systems (CPSs). We introduce a resilient tube-based model predictive control…

Systems and Control · Electrical Eng. & Systems 2025-09-18 Yuzhou Xiao , Senchun Chai , Li Dai , Yuanqing Xia , Runqi Chai

Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) is a promising transmission scheme for high performance broadband wireless communications. However, this technique suffers from a major drawback which…

Information Theory · Computer Science 2014-12-30 Mouna Sghaier , Fatma Abdelkefi , Mohamed Siala

Optimized sensing is important for computational imaging in low-resource environments, when images must be recovered from severely limited measurements. In this paper, we propose a physics-constrained, fully differentiable, autoencoder that…

Image and Video Processing · Electrical Eng. & Systems 2020-03-24 He Sun , Adrian V. Dalca , Katherine L. Bouman

This paper considers random access in deadline-constrained broadcasting with frame-synchronized traffic. To enhance the maximum achievable timely delivery ratio (TDR), we define a dynamic control scheme that allows each active node to…

Systems and Control · Electrical Eng. & Systems 2021-08-09 Aoyu Gong , Lei Deng , Fang Liu , Yijin Zhang

In this paper, we propose a new deinterleaving method for mixtures of discrete renewal Markov chains. This method relies on the maximization of a penalized likelihood score. It exploits all available information about both the sequence of…

Machine Learning · Computer Science 2024-11-11 Jean Pinsolle , Olivier Goudet , Cyrille Enderli , Sylvain Lamprier , Jin-Kao Hao

In this paper, a joint transmitter and receiver design for pattern division multiple access (PDMA) is proposed. At the transmitter, pattern mapping utilizes power allocation to improve the overall sum rate, and beam allocation to enhance…

Information Theory · Computer Science 2018-01-10 Yanxiang Jiang , Peng Li , Zhiguo Ding , Fuchun Zheng , Miaoli Ma , Xiaohu You
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