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Cell-Free Massive multiple-input multiple-output (MIMO) systems are investigated with the support of a reconfigurable intelligent surface (RIS). The RIS phase shifts are designed for improved channel estimation in the presence of spatial…

Information Theory · Computer Science 2025-07-15 Trinh Van Chien , Nguyen Hoang Viet , Symeon Chatzinotas , Lajos Hanzo

Consider a multiuser system where an arbitrary number of users communicate with a distributed receive array over independent Rayleigh fading paths. The receive array performs minimum mean squared error (MMSE) or zero forcing (ZF) combining…

Information Theory · Computer Science 2013-10-21 Dushyantha A. Basnayaka , Peter J. Smith , Phillipa A. Martin

Orthogonal time-frequency space (OTFS) scheme, which transforms a time and frequency selective channel into an almost non-selective channel in the delay-Doppler domain, establishes reliable wireless communication for high-speed moving…

Information Theory · Computer Science 2020-10-12 Prem Singh , Abhishek Gupta , Himanshu B. Mishra , Rohit Budhiraja

An adaptive randomized distributed space-time coding (DSTC) scheme and algorithms are proposed for two-hop cooperative MIMO networks. Linear minimum mean square error (MMSE) receivers and an amplify-and-forward (AF) cooperation strategy are…

Information Theory · Computer Science 2013-03-19 T. Peng , R. C. de Lamare , A. Schmeink

This paper gives a replica analysis for the minimum mean square error (MSE) of a massive multiple-input multiple-output (MIMO) system by using Bayesian inference. The Bayes-optimal estimator is adopted to estimate the data symbols and the…

Information Theory · Computer Science 2016-11-15 Chao-Kai Wen , Yongpeng Wu , Kai-Kit Wong , Robert Schober , Pangan Ting

An adaptive distributed space-time coding (DSTC) scheme is proposed for two-hop cooperative MIMO networks. Linear minimum mean square error (MMSE) receive filters and adjustable code matrices are considered subject to a power constraint…

Information Theory · Computer Science 2016-11-17 T. Peng , R. C. de Lamare , A. Schmeink

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 focuses on multiuser MIMO channel estimation and data transmission at millimeter wave (mmWave) frequencies. The proposed approach relies on the time-division-duplex (TDD) protocol and is based on two distinct phases. First of…

Information Theory · Computer Science 2017-04-25 Stefano Buzzi , Carmen D'Andrea

Beamspace dimensionality reduction, a classical tool in array processing, has been shown in recent work to significantly reduce computational complexity and training overhead for adaptive reception in massive multiuser (MU) MIMO. For sparse…

Signal Processing · Electrical Eng. & Systems 2025-12-09 Canan Cebeci , Oveys Delafrooz Noroozi , Upamanyu Madhow

A novel linear blind adaptive receiver based on joint iterative optimization (JIO) and the constrained constant modulus (CCM) design criterion is proposed for interference suppression in direct-sequence ultra-wideband (DS-UWB) systems. The…

Information Theory · Computer Science 2013-05-15 Sheng Li , Rodrigo C. de Lamare

Ongoing demand for radio spectrum by commercial wireless services has steadily increased pressure on the frequency bands traditionally reserved for radar. This paper addresses the joint problem of designing non-contiguous radar transmission…

Signal Processing · Electrical Eng. & Systems 2026-05-29 Gordon Ariho , Hara Madhav Talasila , James M. Stiles , Peng Seng Tan

In this thesis, we investigate the problem of efficient data detection in large MIMO and high order MU-MIMO systems. First, near-optimal low-complexity detection algorithms are proposed for regular MIMO systems. Then, a family of…

Information Theory · Computer Science 2021-10-26 Hadi Sarieddeen

We consider a multi-user multiple-input multiple-output (MU-MIMO) system that uses orthogonal frequency division multiplexing (OFDM). Several receivers are developed for data detection of MU-MIMO transmissions where two users share the same…

Information Theory · Computer Science 2015-02-03 Ahmad Gomaa , Louay M. A. Jalloul , Krishna S. Gomadam , Djordje Tujkovic , Mohammad M. Mansour

Low-resolution analog-to-digital converters (ADCs) are promising for reducing energy consumption and costs of multiuser multiple-input multiple-output (MIMO) systems with many antennas. We propose low-resolution multiuser MIMO receivers…

Signal Processing · Electrical Eng. & Systems 2022-11-21 Ana Beatriz L. B. Fernandes , Zhichao Shao , Lukas T. N. Landau , Rodrigo C. de Lamare

In a typical MIMO radar scenario, transmit nodes transmit orthogonal waveforms, while each receive node performs matched filtering with the known set of transmit waveforms, and forwards the results to the fusion center. Based on the data it…

Information Theory · Computer Science 2018-03-06 Shunqiao Sun , Waheed U. Bajwa , Athina P. Petropulu

For uplink large-scale MIMO systems, linear minimum mean square error (MMSE) signal detection algorithm is near-optimal but involves matrix inversion with high complexity. In this paper, we propose a low-complexity signal detection…

Information Theory · Computer Science 2015-07-17 Xinyu Gao , Linglong Dai , Yuting Hu , Zhongxu Wang , Zhaocheng Wang

In this paper, we consider diffusive molecular communication (MC) systems affected by signal-dependent diffusive noise, inter-symbol interference, and external noise. We design linear and nonlinear fractionally-spaced equalization schemes…

Information Theory · Computer Science 2020-04-28 Trang Ngoc Cao , Vahid Jamali , Nikola Zlatanov , Phee Lep Yeoh , Jamie Evans , Robert Schober

In this paper, robust transceiver design based on minimum-mean-square-error (MMSE) criterion for dual-hop amplify-and-forward MIMO relay systems is investigated. The channel estimation errors are modeled as Gaussian random variables, and…

Information Theory · Computer Science 2016-11-17 Chengwen Xing , Shaodan Ma , Yik-Chung Wu , Tung-Sang Ng

The conventional receiver designs of generalized frequency division multiplexing (GFDM) consider a large scale multiple-input multiple-output (MIMO) system with a block circular matrix of combined channel and modulation. Exploiting this…

Signal Processing · Electrical Eng. & Systems 2018-12-17 Ahmad Nimr , Marwa Chafii , Gerhard Fettweis

Large-scale (or massive) multiple-input multiple-output (MIMO) is expected to be one of the key technologies in next-generation multi-user cellular systems, based on the upcoming 3GPP LTE Release 12 standard, for example. In this work, we…

Information Theory · Computer Science 2015-06-19 Michael Wu , Bei Yin , Guohui Wang , Chris Dick , Joseph R. Cavallaro , Christoph Studer
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