Search Results - truncated polynomial expansion Precoder

Truncated Polynomial Expansion Downlink Precoders and Uplink Detectors for Massive MIMO

Authors: Benzin, Andreas Caire, Giuseppe Shadmi, Yonatan et al.

Index Terms: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/1711.04141

Efficient and low‐complexity matrix inversion scheme for massive multiple‐input multiple‐output systems using rapid numerical algorithms

Authors: Emmanuel Mukubwa O. Sokoya

Source: The Journal of Engineering (2019)

Subject Terms: polynomials, achievable data rates, 02 engineering and technology, rapid numerical algorithm precoder, 01 natural sciences, linear codes, matrix inversion, wireless channels, 0202 electrical engineering, electronic engineering, information engineering, massive multiple-input multiple-output systems, truncated polynomial expansion precoder, rna precoder, 0101 mathematics, massive multiple-input multiple-output wireless system, precoding, interference suppression, radiofrequency interference, rzf precoder, Engineering (General). Civil engineering (General), low-complexity matrix inversion scheme, tpe precoder, rapid numerical algorithms, mimo communication, TA1-2040, massive mimo system, error statistics

Access URL: https://doaj.org/article/b78eff855c84417f9c06b0d1647a7d4a
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5015

Low-Complexity Truncated Polynomial Expansion DL Precoders and UL Receivers for Massive MIMO in Correlated Channels.

Authors: Benzin, Andreas Caire, Giuseppe Shadmi, Yonatan et al.

Source: IEEE Transactions on Wireless Communications; Feb2019, Vol. 18 Issue 2, p1069-1084, 16p

Efficient linear precoding for massive MIMO systems using truncated polynomial expansion

Authors: Muller, A. Kammoun, A. Björnson, Emil et al.

Index Terms: MIMO systems, Random variables, Signal to noise ratio, Closed-form expression, Maximum ratio transmission, Multiple input multiple output techniques, Polynomial coefficients, Polynomial degree, Polynomial expansion, Random matrix theory, Signal-to-interference and noise ratios, Signal processing, Signal Processing, Signalbehandling, Conference paper, info:eu-repo/semantics/conferenceObject, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167547
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2151-870X ; 6882393
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, p. 273-276

Performance analysis of linear precoders with imperfect channel covariance information for multicell system

Authors: Emmanuel Mukubwa Oludare A. Sokoya

Source: The Journal of Engineering (2020)

Subject Terms: polynomials, interference suppression, antenna arrays, radiofrequency interference, wireless channels, mimo communication, precoding, channel estimation, instantaneous signal-to-interference, multicell massive mimo system, spectral efficiency, -noise ratio, achievable signal-to-interference, multicell scenario, massive multiple-input multiple-output wireless system, truncated polynomial expansion-based precoder, rapid numerical algorithms-based precoder, regularised zero forcing precoder, multicell system, imperfect channel covariance information, linear precoders, performance analysis, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1122; https://doaj.org/toc/2051-3305

Access URL: https://doaj.org/article/549b51f0e8f646d29aa0048fe8e6d25e

Performance Analysis of Linear and Hybrid Precoding on Massive MIMO System Using Truncated Polynomial Expansion.

Authors: Thurpati, Sammaiah Muthuchidamabaranathan, P.

Source: Wireless Personal Communications; Sep2022, Vol. 126 Issue 2, p1129-1144, 16p

Subject Terms: MATCHED filters, BEAM steering, MIMO systems, TRANSMITTERS (Communication), POLYNOMIALS, GAUSSIAN channels

Polynomial expansion of the precoder for power minimization in large-scale MIMO systems

Authors: Sifaou, Houssem Kammoun, Abla SANGUINETTI, LUCA et al.

Contributors: Sifaou, Houssem Kammoun, Abla SANGUINETTI, LUCA et al.

Subject Terms: Computer Networks and Communications

Relation: info:eu-repo/semantics/altIdentifier/isbn/9781479966646; info:eu-repo/semantics/altIdentifier/wos/WOS:000390993201144; ispartofbook:Proceedings of 2016 IEEE International Conference on Communications (ICC 2016); 2016 IEEE International Conference on Communications, ICC 2016; firstpage:1; lastpage:6; numberofpages:6; info:eu-repo/grantAgreement/EC/FP7/305123, 330731; https://hdl.handle.net/11568/843119; https://ieeexplore.ieee.org/document/7510948

Availability: https://hdl.handle.net/11568/843119
https://doi.org/10.1109/ICC.2016.7510948
https://ieeexplore.ieee.org/document/7510948

Performance analysis of linear precoders with imperfect channel covariance information for multicell system.

Authors: Mukubwa, Emmanuel Sokoya, Oludare A.

Source: Journal of Engineering; Aug2020, Vol. 2020 Issue 8, p697-705, 9p

Subject Terms: MIMO systems, ANALYSIS of covariance, SIGNAL-to-noise ratio, ENERGY consumption, WIRELESS communications

Efficient and low-complexity matrix inversion scheme for massive multiple-input multiple-output systems using rapid numerical algorithms.

Authors: Mukubwa, Emmanuel Sokoya, Oludare A.

Source: Journal of Engineering; Oct2019, Vol. 2019 Issue 20, p7244-7249, 6p

Subject Terms: MIMO systems, SIGNAL-to-noise ratio, SIGNAL processing, WIRELESS communications, POLYNOMIALS

Efficient linear precoding for massive MIMO systems using truncated polynomial expansion.

Authors: Muller, Axel Kammoun, Abla Bjornson, Emil et al.

Source: 2014 IEEE 8th Sensor Array & Multichannel Signal Processing Workshop (SAM); 2014, p273-276, 4p

Linear precoding based on polynomial expansion: reducing complexity in massive MIMO.

Authors: Mueller, Axel Kammoun, Abla Björnson, Emil et al.

Source: EURASIP Journal on Wireless Communications & Networking; 2/29/2016, Vol. 2016 Issue 1, p1-22, 22p

Subject Terms: MIMO systems, POLYNOMIALS, MATHEMATICAL expansion, COMPUTATIONAL complexity, SYSTEM analysis

Design and Implementation of centralized signal processing low latency massive MIMO SDR systems ; Konstruktion und Implementierung von Massive MIMO SDR Systemen mit niedriger Latenz und zentralisierter Signalverarbeitung

Authors: Benzin, Andreas Florian Caire, Giuseppe Technische Universität Berlin et al.

Contributors: Benzin, Andreas Florian Caire, Giuseppe Technische Universität Berlin et al.

Subject Terms: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten, massive MIMO, large-scale software defined radio, reciprocity calibration, multi gigabit transceivers, truncated polynomial expansion

File Description: application/pdf

Availability: https://depositonce.tu-berlin.de/handle/11303/11534
https://doi.org/10.14279/depositonce-10418

Max-min SINR low complexity transceiver design for single cell massive MIMO

Authors: Sifaou, Houssem Kammoun, Abla SANGUINETTI, LUCA et al.

Contributors: Sifaou, Houssem Kammoun, Abla SANGUINETTI, LUCA et al.

Subject Terms: linear transceiver, low complexity, Massive MIMO system, random matrix theory, truncated polynomial expansion, Electrical and Electronic Engineering, Computer Science Applications1707 Computer Vision and Pattern Recognition, Information Systems

Relation: info:eu-repo/semantics/altIdentifier/isbn/9781509017492; info:eu-repo/semantics/altIdentifier/wos/WOS:000382942700004; ispartofbook:IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016; volume:2016-; firstpage:1; lastpage:6; numberofpages:6; info:eu-repo/grantAgreement/EC/FP7/330731, 305123; https://hdl.handle.net/11568/843133

Availability: https://hdl.handle.net/11568/843133
https://doi.org/10.1109/SPAWC.2016.7536729

Max?Min SINR in Large-Scale Single-Cell MU-MIMO: Asymptotic Analysis and Low-Complexity Transceivers.

Authors: Sifaou, Houssem Kammoun, Abla Alouini, Mohamed-Slim et al.

Source: IEEE Transactions on Signal Processing; Apr2017, Vol. 65 Issue 7, p1841-1854, 14p

Subject Terms: MIMO systems, RADIO transmitter-receivers, GAUSSIAN processes, WIRELESS communications, RADIO antennas

Polynomial Expansion-Based MMSE Channel Estimation and Precoding for Massive MIMO-GFDM Systems.

Authors: Wang, Yanpeng Fortier, Paul

Source: Wireless Personal Communications; Jan2023, Vol. 128 Issue 1, p109-129, 21p

Subject Terms: CHANNEL estimation, MEAN square algorithms, FREQUENCY division multiple access, POLYNOMIALS, MINI-Mental State Examination, POLYNOMIAL chaos

HF Skywave Massive MIMO Communication.

Authors: Yu, Xianglong Lu, An-An Gao, Xiqi et al.

Source: IEEE Transactions on Wireless Communications; Apr2022, Vol. 21 Issue 4, p2769-2785, 17p

Random Matrix Analysis of Future Multi Cell MU-MIMO Networks

Analyse des réseaux multi-cellulaires multi-utilisateurs futurs par la théorie des matrices aléatoires

Authors: Müller, Axel

Thesis Advisors: Supélec, Debbah, Mérouane

Subject Terms: MIMO, Théorie des Matrices Aléatoires, Multi-cellulaires, Multi-utilisateurs, Extension Polynomiale Tronquée, Gestion d’Interférence, Random Matrix Theory, Multi-Cell, Multi-User, Truncated Polynomial Expansion, Interference Management, 378.242

Availability: http://www.theses.fr/2014SUPL0021/document

Random Matrix Analysis of Future Multi Cell MU-MIMO Networks ; Analyse des réseaux multi-cellulaires multi-utilisateurs futurs par la théorie des matrices aléatoires

Authors: Müller, Axel, Müller Chaire Radio Flexible Alcatel-Lucent/Supélec (Chaire Radio Flexible) Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Alcatel-Lucent et al.

Contributors: Müller, Axel, Müller Chaire Radio Flexible Alcatel-Lucent/Supélec (Chaire Radio Flexible) Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Alcatel-Lucent et al.

Source: https://theses.hal.science/tel-01127503 ; Other. Supélec, 2014. English. ⟨NNT : 2014SUPL0021⟩.

Subject Terms: Interference Management, Truncated Polynomial Expansion, MIMO, Random Matrix Theory, Multi-Cell, Multi-User, Extension Polynomiale Tronquée, Gestion d’Interférence, Multi-utilisateurs, Multi-cellulaires, Théorie des Matrices Aléatoires, [SPI.OTHER]Engineering Sciences [physics]/Other

Relation: NNT: 2014SUPL0021

Availability: https://theses.hal.science/tel-01127503
https://theses.hal.science/tel-01127503/document
https://theses.hal.science/tel-01127503/file/2014SUPL0021.pdf

Max-Min SINR in Large-Scale Single-Cell MU-MIMO: Asymptotic Analysis and Low Complexity Transceivers

Authors: Sifaou, Houssem Kammoun, Abla Sanguinetti, Luca et al.

Index Terms: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/1605.07480

Sum of Nonidentical Squared \kappa - \mu Variates and Applications in the Performance Analysis of Diversity Receivers.

Authors: Peppas, Kostas P.

Source: IEEE Transactions on Vehicular Technology; Jan2012, Vol. 61 Issue 1, p413-419, 7p

Subject Terms: LAGUERRE polynomials, ORTHOGONAL polynomials, DENSITY functionals, RADIO transmitter fading, RANDOM variables, MONTE Carlo method