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The computational complexity of naive, sampling-based uncertainty quantification for 3D partial differential equations is extremely high. Multilevel approaches, such as multilevel Monte Carlo (MLMC), can reduce the complexity significantly,…

Computational Engineering, Finance, and Science · Computer Science 2016-07-13 Björn Gmeiner , Daniel Drzisga , Ulrich Ruede , Robert Scheichl , Barbara Wohlmuth

A single input multiple output (SIMO) multiple access channel, with a large number of transmitters sending symbols from a constellation to the receiver of a multi-antenna base station, is considered. The fundamental limits of joint decoding…

Information Theory · Computer Science 2014-04-10 Mainak Chowdhury , Andrea Goldsmith

We consider the rates achievable by a user in a multibeam satellite system for unicast applications, and propose alternatives to the conventional single-user symbol-by-symbol detection applied at user terminals. Single-user detection is…

Information Theory · Computer Science 2016-11-17 Giulio Colavolpe , Andrea Modenini , Amina Piemontese , Alessandro Ugolini

In this paper, we consider the use of deep neural networks in the context of Multiple-Input-Multiple-Output (MIMO) detection. We give a brief introduction to deep learning and propose a modern neural network architecture suitable for this…

Machine Learning · Statistics 2017-06-06 Neev Samuel , Tzvi Diskin , Ami Wiesel

We consider a multi-cell massive multiple-input-multiple-output (MIMO) system with correlated Rayleigh fading channels, where pilot reuse is permitted within each cell (to reduce pilot overhead), and each base station (BS) utilizes…

Information Theory · Computer Science 2025-07-08 Masoud Elyasi , Azadeh Vosoughi

With the goal of optimizing the CM capacity of a finite constellation over a Rayleigh fading channel, we construct for all dimensions which are a power of 2 families of rotation matrices which optimize a certain objective function…

Information Theory · Computer Science 2014-09-26 David Karpuk , Camilla Hollanti

The use of low-resolution digital-to-analog converters (DACs) for transmit precoding provides crucial energy efficiency advantage for massive multiple-input multiple-output (MIMO) implementation. This paper formulates a quadrature amplitude…

Information Theory · Computer Science 2018-07-04 Foad Sohrabi , Ya-Feng Liu , Wei Yu

We propose a novel physical layer security scheme that exploits an optimization method as a one-way function. The proposed scheme builds on nonsquare differential multiple-input multiple-output (MIMO), which is capable of noncoherent…

Signal Processing · Electrical Eng. & Systems 2023-05-22 Yuma Katsuki , Giuseppe Thadeu Freitas de Abreu , Koji Ishibashi , Naoki Ishikawa

In this paper, we investigate a cell-free massive MIMO system with both access points (APs) and user equipments (UEs) equipped with multiple antennas over jointly-correlated Rayleigh fading channels. We study four uplink implementations,…

Information Theory · Computer Science 2022-03-18 Zhe Wang , Jiayi Zhang , Bo Ai , Chau Yuen , Mérouane Debbah

In this paper, the problem of designing a linear precoder for Multiple-Input Multiple-Output (MIMO) systems in conjunction with Quadrature Amplitude Modulation (QAM) is addressed. First, a novel and efficient methodology to evaluate the…

Information Theory · Computer Science 2016-03-10 Thomas Ketseoglou , Ender Ayanoglu

We study non-coherent detection schemes for molecular communication (MC) systems that do not require knowledge of the channel state information (CSI). In particular, we first derive the optimal maximum likelihood (ML) multiple-symbol (MS)…

Information Theory · Computer Science 2017-07-28 Vahid Jamali , Nariman Farsad , Robert Schober , Andrea Goldsmith

In this paper, we investigate the design of statistically robust detectors for multi-input multi-output (MIMO) systems subject to imperfect channel state information (CSI). A robust maximum likelihood (ML) detection problem is formulated by…

Signal Processing · Electrical Eng. & Systems 2023-07-25 Yi Sun , Hong Shen , Wei Xu , Nan Hu , Chunming Zhao

We consider a cell-free massive multiple-input multiple-output (MIMO) system with multi-antenna access points and user equipments (UEs) over Weichselberger Rician fading channels with random phase-shifts. More specifically, we investigate…

Information Theory · Computer Science 2022-07-25 Xin Li , Jiayi Zhang , Zhe Wang , Bo Ai , Derrick Wing Kwan Ng

In this paper, we investigate performance improvements of low-power long-range (LoRa) modulation when a gateway is equipped with multiple antennas. We derive the optimal decision rules for both coherent and non-coherent detections when…

Signal Processing · Electrical Eng. & Systems 2021-06-23 The Khai Nguyen , Ha H. Nguyen , Ebrahim Bedeer

In this paper, an efficient massive multiple-input multiple-output (MIMO) detector is proposed by employing a deep neural network (DNN). Specifically, we first unfold an existing iterative detection algorithm into the DNN structure, such…

Signal Processing · Electrical Eng. & Systems 2020-04-16 Jieyu Liao , Junhui Zhao , Feifei Gao , Geoffrey Ye Li

We consider the massive Multiple Input Multiple Output (MIMO) diversity channel affected by independent and identically distributed Rayleigh fading, with linear processing at both transmitter and receiver sides, and analyze the outage…

Information Theory · Computer Science 2023-02-08 Marco Martalo , Riccardo Raheli

We study the performance of the simulated bifurcation (SB) algorithm for signal detection in multiple-input multiple-output (MIMO) system, a problem of key interest in modern wireless communication systems. Our results show that SB…

Information Theory · Computer Science 2022-10-27 Wen Zhang , Yu-Lin Zheng

This paper addresses the joint transceiver design for downlink multiuser multiple-input multiple-output (MIMO) systems, with imperfect channel state information (CSI) at the base station (BS) and mobile stations (MSs). By incorporating…

Optimization and Control · Mathematics 2013-11-26 Tadilo Endeshaw Bogale , Batu Krishna Chalise , Luc Vandendorpe

This paper investigates a communication-efficient split learning (SL) over multiple-input multiple-output (MIMO) communication system. In particular, we mathematically decompose the inter-layer connection of a neural network (NN) to a…

Signal Processing · Electrical Eng. & Systems 2022-10-11 Yuzhi Yang , Zhaoyang Zhang , Zhaohui Yang

This article considers the massive MIMO unsourced random access problem on a quasi-static Rayleigh fading channel. Given a fixed message length and a prescribed number of channel uses, the objective is to construct a coding scheme that…

Information Theory · Computer Science 2022-03-09 Michail Gkagkos , Krishna R. Narayanan , Jean-Francois Chamberland , Costas N. Georghiades