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Beamforming techniques for massive MIMO systems in 5G: overview, classification, and trends for future research

Ehab Ali, Mahamod Ismail, Rosdiadee Nordin, Nor Fadzilah Abdulah
2017 Frontiers of Information Technology & Electronic Engineering  
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]

Nora Basha, Bechir Hamdaoui
2021 arXiv   pre-print
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

Siddharth Sharma, Aditya K. Jagannatham
2011 Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief - ACWR '11  
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  
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]

Shabnam Rezaei, Sofiene Affes
2020 arXiv   pre-print
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]

Weiheng Jiang, Xiaogang Wu, Bolin Chen, Wenjiang Feng, Yi Jin
2020 arXiv   pre-print
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  
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  
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

Ma Li Jie
2015 International Journal of Smart Home  
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]

Yu Liu, Alexander M. Haimovich, Wei Su, Jason Dabin, Emmanuel Kanterakis
2013 arXiv   pre-print
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

Parismita Gogoi, Kandarpa Kumar Sarma
2012 International Journal of Computer Applications  
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  
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

Omar Hazim Salim, Ali A Nasir, Hani Mehrpouyan, Wei Xiang
2013 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)  
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

Kais Hassan, Iyad Dayoub, Walaa Hamouda, Crepin Nsiala Nzeza, Marion Berbineau
2012 IEEE Transactions on Wireless Communications  
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

Kawandal Jayswal, Pankaj Vyas
2021 International Journal of Engineering and Innovative Technology  
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
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