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Adaptive Regularized Zero-Forcing Precoding for Massive MIMO Systems with Multi-Antenna Users [article]

Evgeny Bobrov
2022 arXiv   pre-print
In this work, we propose Adaptive RZF (ARZF) with a special kind of regularization matrix with different coefficients for each layer of multi-antenna users.  ...  There is an important class of linear precoding called Regularized Zero-Forcing (RZF).  ...  of a large number of antennas in massive MIMO, linear precoding techniques are more preferable.  ... 
arXiv:2107.00853v4 fatcat:4l6f42szmbgtjejr7opi347pue

BER Analysis of Hybrid Precoded Massive MIMO Systems in Downlink with Receiver Beamforming over mmwave Channels

Zero forcing and Wiener Filter precoder are also evaluated against each other with analog precoding and receiver beamforming  ...  This paper evaluates the BER performance of mmWave-massive MIMO systems with Hybrid precoding and receiver beamforming.  ...  State Information BER Bit Error Rate SNR Signal to Noise Ratio SINR Signal to Interference + Noise Ratio MIMO Multi Input Multi output RZF Regularized Zero Forcing RF Radio Frequency Retrieval Number  ... 
doi:10.35940/ijitee.i1088.0789s19 fatcat:dmohephge5f2pnwxz5qbnjd62m

An Overview of Massive MIMO Technology Components in METIS

Gabor Fodor, Nandana Rajatheva, Wolfgang Zirwas, Lars Thiele, Martin Kurras, Kaifeng Guo, Antti Tolli, Jesper H. Sorensen, Elisabeth de Carvalho
2017 IEEE Communications Magazine  
state information for sparse channels in frequency division duplexing systems, managing user grouping and multi-user beamforming, and a decentralized coordinated transceiver design.  ...  Indeed, in its final deliverable, the European 5G project Mobile and Wireless Communication Enablers for the 2020 Information Society (METIS) identifies massive MIMO as a key 5G enabler and proposes specific  ...  We use regularized zero-forcing precoding where inter-cell interference is considered in the regularization values.  ... 
doi:10.1109/mcom.2017.1600802 fatcat:5rq2s6repzauznp2lgui2ezizi

Precoding and Beamforming Techniques in mmWave-Massive MIMO: Performance Assessment

Tewelgn Kebede, Yihenew Wondie, Johannes Steinbrunn, Hailu Belay, Kevin Kornegay
2022 IEEE Access  
Therefore, massive MIMO linear precoding techniques such as zero-forcing, maximum ratio transmission, regularized zero-forcing, truncated polynomial expansion and phased zero forcing are addressed in this  ...  We also examine the potential of hybrid analog-digital beamforming with its fully-connected and sub-connected architecture approaches in making mmWave massive MIMO a reality.  ...  MASSIVE MIMO COMMUNICATION TECHNOLOGY Massive MIMO refers to the use of antenna arrays with a large number of antenna elements for large-scale highgain adaptive beamforming and multi-user spatial multiplexing  ... 
doi:10.1109/access.2022.3149301 fatcat:enk4dcnzszhbzk4bawiuh4ycsu

Aperiodic Array Synthesis for Multi-User MIMO Applications [article]

C. Bencivenni, A.A. Glazunov, R. Maaskant, M.V. Ivashina
2018 arXiv   pre-print
This paper demonstrates the advantages of aperiodic arrays in multi-user multiple-input multiple-output systems for future mobile communication applications.  ...  We propose a novel aperiodic array synthesis method which account for the statistics of the propagation channel and the adaptive beamforming algorithm.  ...  For these comparisons we employ the Zero Forcing adaptive beamformer. II.  ... 
arXiv:1808.08321v1 fatcat:z4on3fyptrf5dei7fz7y522nje

Resource Allocation for Energy Efficiency in 5G Wireless Networks

Long D. Nguyen
2018 EAI Endorsed Transactions on Industrial Networks and Intelligent Systems  
In this paper, we will tackle the critical EE in 5G wireless networks.  ...  To this end, resource allocation is faced with many significant challenges such as interference alignment, security attacks, or green communication.  ...  To overcome this issue, the regularized zero-forcing (RZF) beamforming is provided [44, 56] .  ... 
doi:10.4108/eai.27-6-2018.154832 fatcat:jeepyygzizbahin7naxr6xdtxy

Multi-User Frequency-Selective Hybrid MIMO Demonstrated Using 60 GHz RF Modules [article]

Steve Blandino, Claude Desset, Cheng-Ming Chen, Andre Bourdoux, Sofie Pollin
2018 arXiv   pre-print
The base station equipped with a 32 phased antenna array allocates simultaneously two users.  ...  As hardware limitations impede to realize a full digital architecture, hybrid MIMO architectures, using digital precoding and phased antenna arrays, are considered a feasible solution to implement multi-user  ...  A regularised zero-forcing (RZF) scheme improves the ZF performance in the subcarriers subject to low SNR.  ... 
arXiv:1711.02968v3 fatcat:ifth2r3zcrcnlmhorowgl6woga

Secure Beamforming in 5G-Based Cognitive Radio Network

Hyils Sharon Magdalene Antony, Thulasimani Lakshmanan
2019 Symmetry  
In this article, a new beamforming technique is proposed to secure an information exchange within the same cells and neighboring cells from all intervened users.  ...  However, the system is an exceptional way for the cognitive users to secure a communication from the interferences in multiple-input multiple-output (MIMO)-NOMA-based cognitive radio network.  ...  In this article, the proposed beamforming technique was compared with the existing zero forcing technique, which was used in [12] .  ... 
doi:10.3390/sym11101260 fatcat:u4rfka2fpfdetkgjzecnbk62ia

Hybrid Precoding Design Using MMSE Baseband Precoder for mm-Wave Multi-User MIMO Systems

2019 International journal of recent technology and engineering  
Although multi-user beamforming can improve spectral efficiencies, full digital beamforming strategies used in the conventional microwave systems increase the hardware cost and consumes high power for  ...  In this paper, a low-complexity multi-user hybrid precoding structure is proposed for mmWave multiple input multiple output (MIMO) channels utilizing Minimum Mean Square Error (MMSE) precoders at the BS  ...  So, these problems can be solved by antenna Beamforming and multi user MIMO.  ... 
doi:10.35940/ijrte.b1588.0982s1119 fatcat:zf7mzhzybra77fby2whq4ct3sm

Hybrid MMSE Precoding for Millimeter-Wave (mmW) Multi-user Massive MIMO Systems

Farah Raisa, Khaizuran Abdullah, Ahmad Fadzil Bin Ismail, Asif Reza, Hudah Adibah Bt. Mohd. Ramli, Wahidah Hashim
2017 International Journal of Future Generation Communication and Networking  
In this paper, a multi-user hybrid precoding structure is proposed for mmWave massive-MIMO channels utilizing MMSE precoders at the BS with perfect channel knowledge.  ...  Although multi-user beamforming can improve spectral efficiencies, full digital beamforming strategies used in the conventional microwave systems increase the hardware cost and consumes high power for  ...  Conclusion and Future Work In this paper, low-complexity hybrid precoding design is presented for mmWave multiuser communication with MMSE baseband precoding.  ... 
doi:10.14257/ijfgcn.2017.10.5.03 fatcat:vdq33a4fgjhffgcm52tejfqzpa

2019 Index IEEE Transactions on Communications Vol. 67

2019 IEEE Transactions on Communications  
Zero-Forcing Per-Group Precoding for Robust Optimized Downlink Massive MIMO Performance.  ...  ., +, TCOMM Dec. 2019 8573-8584 Coordination/Cooperation Strategies and Optimal Zero-Forcing Precoding Design for Multi-User Multi-Cell VLC Networks.  ...  S Satellite antennas On the Performance of LMS  ... 
doi:10.1109/tcomm.2019.2963622 fatcat:qd6so3reavde3eiukfknmpbfsu

2019 Index IEEE Wireless Communications Letters Vol. 8

2019 IEEE Wireless Communications Letters  
Ali, I., +, LWC April 2019 516-519 Regularized Zero-Forcing Precoder for Massive MIMO System With Transceiver I/Q Imbalances.  ...  ., +, LWC April 2019 580-583 Secure Transmission in Multi-Cell Multi-User Massive MIMO Systems With an Active Eavesdropper.  ... 
doi:10.1109/lwc.2019.2961756 fatcat:bwxehcl4ejew7a6m66prb6s4z4

USC SDR, an easy-to-program, high data rate, real time software radio platform

Horia Vlad Balan, Marcelo Segura, Suvil Deora, Antonios Michaloliakos, Ryan Rogalin, Konstantinos Psounis, Giuseppe Caire
2013 Proceedings of the second workshop on Software radio implementation forum - SRIF '13  
As an example, we will showcase a massive MIMO testbed built using a single server with multiple PCIE slots.  ...  The hardware is supported by a real-time software architecture where signal processing tasks, PHY and MAC layer algorithms can be programmed as user-level applications.  ...  However, it is known that a 16 antenna base station with regularized zero-forcing precoding can significantly outperform a 64-antennas base station with conjugate beamforming [9] .  ... 
doi:10.1145/2491246.2491254 dblp:conf/sigcomm/BalanSDMRPC13 fatcat:bxay2aeyrzf5tetzrfyivhbc7m

Massive MIMO Systems for 5G and Beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction

Robin Chataut, Robert Akl
2020 Sensors  
We discuss all the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in a massive MIMO system and discuss some  ...  Massive MIMO is one of the key enabling technology for next-generation networks, which groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency using  ...  Precoding Precoding is a concept of beamforming which supports the multi-stream transmission in multi-antenna systems.  ... 
doi:10.3390/s20102753 pmid:32408531 pmcid:PMC7284607 fatcat:xmyhlmst2bconcwlq5oezoc3zu

An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques

Mingjin Wang, Feifei Gao, Shi Jin, Hai Lin
2019 IEEE Journal on Selected Topics in Signal Processing  
As a consequence, transceiver techniques like synchronization, channel estimation, beamforming, precoding, multi-user access, etc., can be re-shaped with these physical parameters, as opposed to those  ...  In the past ten years, there have been tremendous research progresses on massive MIMO systems, most of which stand from the communications viewpoint.  ...  in FDD systems), the multi-users access designed can be adapted to the new frequency band easily.  ... 
doi:10.1109/jstsp.2019.2934931 fatcat:fvimd5awz5gzxo2gngidcbtora
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