A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
Beamforming techniques for massive MIMO systems in 5G: overview, classification, and trends for future research
2017
Frontiers of Information Technology & Electronic Engineering
Preserved Fulltext
Classifications of optimal beamforming techniques that are used in wireless communication systems are reviewed in detail to determine which techniques are more suitable for deployment in massive MIMO systems ...
The main objective of this review paper is to discuss the state-of-the-art research on the most favourable types of beamforming techniques that can be deployed in massive MIMO systems and to clarify the ...
Thus, this paper is focused on beamforming technique classifications for wireless communication systems and investigation of their effects on massive MIMO systems to determine which optimal categories ...
doi:10.1631/fitee.1601817
fatcat:5kld5arndvfovazlghdbjuccka
Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Deep Learning-Based Network Device Classification
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
To the best of our knowledge, we are the first to propose to leverage MIMO capabilities to mitigate the channel effect and provide a channel-resilient device classification. ...
The accurate identification of wireless devices is critical for enabling automated network access monitoring and authenticated data communication in large-scale networks; e.g., IoT. ...
classify different wireless devices using received RF signal data.
2) The Proposed MIMO-Enabled Device Fingerprinting The proposed MIMO-enabled technique for Rayleigh fading channels uses the blind ...
arXiv:2109.03799v1
fatcat:dxvgfzyetfajzbrsbzvs7dvxfa
Optimal classifier based spectrum sensing in cognitive radio wireless systems
2011
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief - ACWR '11
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
In this work, we present and investigate the performance of novel classification schemes for spectrum sensing in cooperative multiple-input multiple-output (MIMO) wireless cognitive radio (CR) networks ...
Also, we propose a novel QD classifier for blind MIMO spectrum sensing scenarios. The detection performance of the proposed classifiers is compared with existing schemes in co-operative CR scenarios. ...
In the next section, we provide an elaborate discussion of such classification techniques in the context of cooperative MIMO spectrum sensing. ...
doi:10.1145/2185216.2185265
dblp:conf/acwr/SharmaJ11
fatcat:ne7n4dbk4jav5ifsmzrh4ic23m
Massive MIMO and Hybrid Optimization for It's Beamforming
2019
International journal of recent technology and engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The tremendous growth of traffic in wireless communication (WC) system has resulted in inadequate network capacity. 5th Generation (5G) is seen as next generation wireless communication system implemented ...
The intent of this research paper is to review - beam forming techniques implemented in M-MIMO and research work in this particular area. ...
M-MIMO will play remarkable role in futuristic cellular wireless network (5G) [1] .Wireless generation is an indication of growth in traffic in wireless system. ...
doi:10.35940/ijrte.c6232.098319
fatcat:3bh53gu4bfddfeltdpsdkw3bdm
ANN-Based Detection in MIMO-OFDM Systems with Low-Resolution ADCs
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Results suggest that ANND approaches ML at much lower complexity, outperforms ZF over the entire range of assessed signal-to-noise ratio (SNR) values, and so does it also, though, with the MMSE over different ...
frequency-division multiplexing (MIMO-OFDM) systems, particularly those with low-resolution analog-to-digital converters (LR-ADCs). ...
ANN-BASED SIGNAL DETECTION In this section, we propose a blind detection technique for our MIMO-OFDM system model based on the classification approach in ANNs.
A. ...
arXiv:2001.11643v1
fatcat:xauzlvigbjaxnlpeqqqhiqtuge
Time-Frequency Analysis based Blind Modulation Classification for Multiple-Antenna Systems
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Hence, in this paper, to resolve the problem of blind modulation classification in MIMO systems, the time-frequency analysis method based on the windowed short-time Fourier transform is used to analyse ...
Due to the lack of prior information about channel parameters and the overlapping of signals in the MIMO systems, the traditional likelihood-based and feature-based approaches cannot be applied in these ...
Conclusion In this paper, we resolve the problem of blind modulation classification for the MIMO system. ...
arXiv:2004.00378v1
fatcat:xkxkt7qixve35dh6aq7zk4coc4
IEEE Transactions on Signal Processing Edics
2013
IEEE Transactions on Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
SSP STATISTICAL SIGNAL PROCESSING SSP-FILT Filtering SSP-DETC Detection SSP-PARE Parameter estimation SSP-TRAC Tracking algorithms SSP-CLAS Classification methods SSP-PERF Performance analysis and bounds ...
reconstruction DSP-FAST Fast algorithms for digital signal processing DSP-ALGO Algorithm analysis DSP-APPL Applications of digital and multirate signal processing NSP NONLINEAR SIGNAL PROCESSING NSP-NLIN ...
schemes
MSP-APPL
Applications of MIMO communications and signal processing
SEN SIGNAL PROCESSING FOR SENSOR NETWORKS
SEN-FUSE
Data fusion from multiple sensors
SEN-DIST
Distributed signal processing ...
doi:10.1109/tsp.2013.2243955
fatcat:jvzdctvmejcltfjha2wfmixaee
IEEE Transactions on Signal Processing Edics
2013
IEEE Transactions on Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
SSP STATISTICAL SIGNAL PROCESSING SSP-FILT Filtering SSP-DETC Detection SSP-PARE Parameter estimation SSP-TRAC Tracking algorithms SSP-CLAS Classification methods SSP-PERF Performance analysis and bounds ...
reconstruction DSP-FAST Fast algorithms for digital signal processing DSP-ALGO Algorithm analysis DSP-APPL Applications of digital and multirate signal processing NSP NONLINEAR SIGNAL PROCESSING NSP-NLIN ...
schemes
MSP-APPL
Applications of MIMO communications and signal processing
SEN SIGNAL PROCESSING FOR SENSOR NETWORKS
SEN-FUSE
Data fusion from multiple sensors
SEN-DIST
Distributed signal processing ...
doi:10.1109/tsp.2013.2274313
fatcat:d5q4ucyt2zhoze2nixfeymojly
Studies of Large-scale Antenna Beamforming Technology
2015
International Journal of Smart Home
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The large-scale antenna has the advantage of application is strong, it can greatly improve the average throughput of the system, but also can save transmission power, becoming one of the key technologies ...
of the fifth generation mobile communications. ...
To sum up, with the introduction of wireless cellular system of all dimensions of the MIMO technology, wireless cellular LTE-Advanced system with MIMO-OFDM as the core and can exploit the spatial dimension ...
doi:10.14257/ijsh.2015.9.11.09
fatcat:jvipr2l3fbg45ptedgsd5a7lke
Modulation Classification of MIMO-OFDM Signals by Independent Component Analysis and Support Vector Machines
[article]
2013
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The processing consists of separation of the MIMO streams followed by modulation classification of the separated signals. ...
While in general, blind separation of signals over frequency selective channels is a difficult problem, the non-frequency selective nature of the channel experienced by individual symbols in a MIMO-OFDM ...
MIMO Separation by ICA Modulation classification of MIMO signals relies on the blind estimation of the MIMO channel and blind source separation of signals. ...
arXiv:1307.4430v1
fatcat:mrl5ardlgnb4llde2huzgxymge
Channel Estimation Technique for STBC coded MIMO System with Multiple ANN Blocks
2012
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Signal to Noise Ratio (SNR) have been used to compare the effectiveness of the learning capability of the two ANN structures over wireless fading channel. ...
Simulated results in terms of Bit Error Rates (BER) vs. ...
There are two common techniques found in literatures for channel estimation in MIMO systems, which can be divided into Blind and non-blind methods [2] . ...
doi:10.5120/7830-1018
fatcat:64jcrxgbwncs5odn665gsqtcbm
Table of contents
2020
IEEE Communications Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Al-Ajlouni
872
(Contents Continued on Page 705)
(Contents Continued from Page 704)
SIGNAL PROCESSING
WIRELESS COMMUNICATIONS
A Multi-Armed Bandit Approach to Wireless Information and Power Transfer ...
Aided MIMO FBMC-QAM System for Maximum Likelihood Detection .............................. D. ...
doi:10.1109/lcomm.2020.2981808
fatcat:ie4zygxef5aunhklw7duurkpbi
Phase noise and carrier frequency offset in OFDM systems: Joint estimation and hybrid Cramér-Rao lower bound
2013
2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
time-varying channels • Acquisition, synchronization, and tracking (data aided or blind) • Signal separation and interference rejection • Source-channel coding • Interference alignment • Low-complexity ...
Prospective authors are invited to submit papers in the following areas: • Smart antennas, MIMO systems, and space-time coding • Single-carrier, multi-carrier, and multi-rate systems • Multiple access ...
advances in signal processing for wireless and mobile communications, information and network theory. ...
doi:10.1109/spawc.2013.6612130
dblp:conf/spawc/SalimNMX13
fatcat:4uwwdn5s2rav7icf6xdv7pbt4u
Blind Digital Modulation Identification for Spatially-Correlated MIMO Systems
2012
IEEE Transactions on Wireless Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper addresses the problem of blind digital modulation identification in spatially-correlated MIMO systems. ...
Modulation type is one of the most important characteristics used in signal waveform identification and classification. ...
ACKNOWLEDGMENT This work was performed in the framework of the I-Trans cluster and the regional CISIT (Campus International Sécurité et Intermodalité des Transports) project. ...
doi:10.1109/twc.2011.122211.110236
fatcat:3lqel64yinfu5fqwzhju4ee6x4
Study of the STBC based MIMO System Modeling and Evaluation
2021
International Journal of Engineering and Innovative Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
There are many applications using the small MIMO antenna structure for performance improvement. The Long Term Evolution (LTE) and Wi-Fi wireless modems are good example of the MIMO based modeling. ...
Various design challenges of the channel estimation for wireless communication are addressed and problems are identified. ...
CONCLUSION Primarily paper presets the study of the MIMO-STBC wireless system for the Wi-Fi routers. A classification of MIMO design based on the STBC coding is presented. ...
doi:10.51456/ijeit.2021.v11i04.001
fatcat:crgb4thu5na4pfukqlybvpbtae
« Previous
Showing results 1 — 15 out of 1,014 results