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High data rates are one of the most prevalent requirements in current mobile communications. To cover this and other high standards regarding performance, increasing coverage, capacity, and reliability, numerous works have proposed the…

Information Theory · Computer Science 2023-07-26 Gabriela Morillo , John Cosmas

Affine Frequency Division Multiplexing (AFDM), which is based on discrete affine Fourier transform (DAFT), has recently been proposed for reliable communication in high-mobility scenarios. Two low complexity detectors for AFDM are…

Information Theory · Computer Science 2022-03-08 Ali Bemani , Nassar Ksairi , Marios Kountouris

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

In a recent work we proposed a new radio access technique based on filter bank multi-carrier (FBMC) modulation using two orthogonal polarizations: dual-polarization FBMC (DP-FBMC). We showed that with good cross-polarization discrimination…

Signal Processing · Electrical Eng. & Systems 2019-01-21 Hosseinali Jamal , David W. Matolak

The present paper deals with an OFDM-based uplink within a multi-user MIMO (MU-MIMO) system where a massive MIMO approach is employed. In this context, the linear detectors Minimum Mean-Squared Error (MMSE), Zero Forcing (ZF) and Maximum…

Large-scale multiple-input multiple-output (MIMO) is an emerging wireless technology that deploys thousands of transmit antennas at the base-station to boost spectral efficiency. The classic weighted minimum mean-square-error (WMMSE)…

Information Theory · Computer Science 2025-03-17 Yi Feng , Kaiming Shen

Cell-free (CF) massive multiple-input-multiple-output (mMIMO) deployments are usually investigated with half-duplex nodes and high-capacity fronthaul links. To leverage the possible gains in throughput and energy efficiency (EE) of…

Signal Processing · Electrical Eng. & Systems 2021-08-11 Soumyadeep Datta , Ekant Sharma , Dheeraj Naidu Amudala , Rohit Budhiraja , Shivendra S. Panwar

This paper addresses channel estimation for linear time-varying (LTV) wireless propagation links under the assumption of double sparsity i.e., sparsity in both the delay and the Doppler domains. Affine frequency division multiplexing…

Information Theory · Computer Science 2023-09-06 Wissal Benzine , Ali Bemani , Nassar Ksairi , Dirk Slock

Analog Beamsteering (ABS) has emerged as a low complexity, power efficient solution for MillimeterWave (mmWave) massive Multiple Input Multiple Output (MIMO) systems. Moreover, driven by the low spatial correlation between the User…

Signal Processing · Electrical Eng. & Systems 2019-02-01 Mohamed Shehata , Matthieu Crussière , Maryline Hélard

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

Green low power networking with the least requirement of dedicated radio resources is need of the hour which has led to the upsurge of backscatter communication (BSC) technology. However, this inherent potential of BSC is challenged by…

Information Theory · Computer Science 2019-08-26 Deepak Mishra , Erik G. Larsson

In this paper, a cooperative relay network consisting of a single-antenna source, a multi-antenna relay, and a multi-antenna destination is considered. The relay operates in decode-and-forward (DF) mode under frequency-selective fading. To…

Signal Processing · Electrical Eng. & Systems 2025-03-17 Farshad Dizani , Ali Olfat

Application of massive multiple-input multiple-output (MIMO) systems to frequency division duplex (FDD) is challenging mainly due to the considerable overhead required for downlink training and feedback. Channel extrapolation, i.e.,…

Signal Processing · Electrical Eng. & Systems 2020-10-01 Thomas Choi , François Rottenberg , Jorge Gomez-Ponce , Akshay Ramesh , Peng Luo , Jianzhong Zhang , Andreas F. Molisch

We develop a broadband channel estimation algorithm for millimeter wave (mmWave) multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters (ADCs). Our methodology exploits the joint sparsity of the mmWave MIMO…

Information Theory · Computer Science 2017-12-07 Jianhua Mo , Philip Schniter , Robert W. Heath

This paper investigates the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers. We present a new analytic framework which unveils an interesting…

Information Theory · Computer Science 2009-03-05 Matthew R. McKay , Iain B. Collings , Antonia M. Tulino

Massive multiple-input-multiple-output (MaMIMO) multicasting has received significant attention over the last years. MaMIMO is a key enabler of 5G systems to achieve the extremely demanding data rates of upcoming services. Multicast in the…

Signal Processing · Electrical Eng. & Systems 2021-02-22 Alejandro de la Fuente , Giovanni Interdonato , Giuseppe Araniti

Network densification, massive multiple-input multiple-output (MIMO) and millimeter-wave (mmWave) bands have recently emerged as some of the physical layer enablers for the future generations of wireless communication networks (5G and…

Signal Processing · Electrical Eng. & Systems 2019-02-21 Guillem Femenias , Felip Riera-Palou

Cell-free (CF) massive multiple-input-multiple-output (mMIMO) deployments are usually investigated with half-duplex nodes and high-capacity fronthaul links. To leverage the possible gains in throughput and energy efficiency (EE) of…

Signal Processing · Electrical Eng. & Systems 2021-12-13 Soumyadeep Datta , Dheeraj Naidu Amudala , Ekant Sharma , Rohit Budhiraja , Shivendra S. Panwar

Employing low resolution analog-to-digital converters in massive multiple-input multiple-output (MIMO) has many advantages in terms of total power consumption, cost and feasibility of such systems. However, such advantages come together…

Information Theory · Computer Science 2024-10-30 Ali Bulut Üçüncü , Gökhan Muzaffer Güvensen , Ali Özgür Yılmaz

In this work, an efficient precoding design scheme is proposed for downlink cell-free distributed massive multiple-input multiple-output (DM-MIMO) filter bank multi-carrier (FBMC) systems with asynchronous reception and highly frequency…

Information Theory · Computer Science 2023-07-14 Yuhao Qi , Jian Dang , Zaichen Zhang , Liang Wu , Yongpeng Wu
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