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This paper proposes low complexity detection for internet of underwater things (IoUT)s communication. The signal is transmitted from the source to the destination using several sensors. To simplify the computational operations at the…

Signal Processing · Electrical Eng. & Systems 2022-03-24 Amer Aljanabi , Osama Alluhaibi , Qasim Z. Ahmed , Fahd A. Khan , Waqas-Bin-Abbas , Pavlos I. Lazaridis

Due to its attractive properties, generalized frequency division multiplexing (GFDM) is recently being discussed as a candidate waveform for the fifth generation of wireless communication systems (5G). GFDM is introduced as a generalized…

Information Theory · Computer Science 2016-04-20 Arman Farhang , Nicola Marchetti , Linda E. Doyle

Receiver algorithms which combine belief propagation (BP) with the mean field (MF) approximation are well-suited for inference of both continuous and discrete random variables. In wireless scenarios involving detection of multiple signals,…

Information Theory · Computer Science 2016-04-19 Daniel J. Jakubisin , R. Michael Buehrer , Claudio R. C. M. da Silva

We study the expectation propagation (EP) algorithm for symbol detection in massive multiple-input multiple-output (MIMO) systems. The EP detector shows excellent performance but suffers from a high computational complexity due to the…

Information Theory · Computer Science 2024-08-23 Luca Schmid , Dominik Sulz , Laurent Schmalen

We investigate a turbo soft detector based on the expectation propagation (EP) algorithm for large-scale multiple-input multiple-output (MIMO) systems. Optimal detection in MIMO systems becomes computationally unfeasible for high-order…

Signal Processing · Electrical Eng. & Systems 2019-01-11 Irene Santos , Juan José Murillo-Fuentes

This paper aims at tackling the problem of signal detection in flat-fading channels. In this context, receivers based on the expectation propagation framework appear to be very promising although presenting some critical issues. We develop…

Signal Processing · Electrical Eng. & Systems 2023-06-01 Elisa Conti , Amina Piemontese , Giulio Colavolpe , Armando Vannucci

Large-scale multiple-input-multiple-output (MIMO) systems typically operate in dense array deployments with limited scattering environments, leading to highly correlated and ill-conditioned channel matrices that severely degrade the…

Signal Processing · Electrical Eng. & Systems 2025-09-30 Kabuto Arai , Takumi Yoshida , Takumi Takahashi , Koji Ishibashi

Affine Frequency Division Multiplexing (AFDM) has attracted considerable attention for its robustness to Doppler effects. However, its high receiver-side computational complexity remains a major barrier to practical deployment. To address…

Signal Processing · Electrical Eng. & Systems 2025-08-19 Shuntian Tang , Zesong Fei , Xinyi Wang , Dongkai Zhou , Zhiqiang Wei , Christos Masouros

In this work, we propose a novel low complexity Generalised Frequency Division Multiplexing (GFDM) transceiver design. GFDM modulation matrix is factorized into FFT matrices and a diagonal matrix to design low complexity GFDM transmitter.…

Information Theory · Computer Science 2018-11-19 Shashank Tiwari , Suvra Sekhar Das

In this paper, we propose a new combined message passing algorithm which allows belief propagation (BP) and mean filed (MF) applied on a same factor node, so that MF can be applied to hard constraint factors. Based on the proposed message…

Information Theory · Computer Science 2017-01-24 Chuanzong Zhang , Zhengdao Yuan , Zhongyong Wang , Qinghua Guo

This paper proposes a novel parallel coding transmission strategy and an iterative detection and decoding receiver signal processing technique for orthogonal delay-Doppler division multiplexing (ODDM) modulation. Specifically, the proposed…

Information Theory · Computer Science 2025-02-04 Qi Li , Jinhong Yuan , Min Qiu

We consider the non-coherent single-input multiple-output (SIMO) multiple access channel with general signaling under spatially correlated Rayleigh block fading. We propose a novel soft-output multi-user detector that computes an…

Information Theory · Computer Science 2020-06-05 Khac-Hoang Ngo , Maxime Guillaud , Alexis Decurninge , Sheng Yang , Philip Schniter

For binary source transmission, this paper introduces the concept of element-pair (EP) and establishes that when the Cartesian product of $J$ distinct EPs satisfies the unique sum-pattern mapping (USPM) structural property, these $J$ EPs…

Information Theory · Computer Science 2024-10-29 Qi-yue Yu , Shi-wen Lin , Shu Lin

Variational message passing (VMP), belief propagation (BP) and expectation propagation (EP) have found their wide applications in complex statistical signal processing problems. In addition to viewing them as a class of algorithms operating…

Information Theory · Computer Science 2021-01-20 Dan Zhang , Xiaohang Song , Wenjin Wang , Gerhard Fettweis , Xiqi Gao

In the past several decades, various techniques have been developed and used for multiple-access (MA) communications. With the new applications for 6G, it is desirable to find new resources, physical or virtual, to confront the fast…

Information Theory · Computer Science 2025-06-10 Qi-yue Yu , Jiang-xuan Li , Shu Lin

Iterative information processing, either based on heuristics or analytical frameworks, has been shown to be a very powerful tool for the design of efficient, yet feasible, wireless receiver architectures. Within this context, algorithms…

We propose a novel low-complexity receiver design for multicarrier continuous aperture array (CAPA) systems operating over doubly-dispersive (DD) channels. The receiver leverages a Gaussian Belief Propagation (GaBP)-based framework that…

Signal Processing · Electrical Eng. & Systems 2025-09-30 Kuranage Roche Rayan Ranasinghe , Giuseppe Thadeu Freitas de Abreu , Emil Björnson

In this paper, we propose a serially concatenated turbo-encoded faster-than-Nyquist signaling (FTNS) transceiver that takes into account FTNS-specific colored noise effects. The proposed low-complexity receiver carries out soft-decision…

Information Theory · Computer Science 2016-04-14 Takumi Ishihara , Shinya Sugiura

This paper describes the limiting behavior of linear and decision feedback equalizers (DFEs) in single/multiple antenna systems employing real/complex-valued modulation alphabets. The wideband frequency selective channel is modeled using a…

Information Theory · Computer Science 2013-07-16 Kiran Kuchi

In this paper, we address the message-passing receiver design for the 3D massive MIMO-OFDM systems. With the aid of the central limit argument and Taylor-series approximation, a computationally efficient receiver that performs joint channel…

Information Theory · Computer Science 2016-01-05 Sheng Wu , Linling Kuang , Zuyao Ni , Defeng , Huang , Qinghua Guo , Jianhua Lu