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L-BFGS Precoding Optimization Algorithm for Massive MIMO Systems with Multi-Antenna Users [article]

Evgeny Bobrov
2022 arXiv   pre-print
The paper studies the multi-user precoding problem as a non-convex optimization problem for wireless multiple input and multiple output (MIMO) systems.  ...  Then, we reduce the precoding problem to an unconstrained optimization task using a special differential projection method and solve it by the Quasi-Newton L-BFGS iterative procedure to achieve gains in  ...  System Model In 5G cellular networks, we look at a precoding problem in multi-user massive MIMO communication. A single base station with multiple transmit antennas is used.  ... 
arXiv:2107.13440v4 fatcat:j3xzg4mym5gh7ckolebsfihr54

Integrating millimeter wave with hybrid precoding multiuser massive MIMO for 5G communication

Mohammed Khudhur Hussein, Nasser N. Khamiss
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Keywords: Convex optimization Hybrid precoding Millimeter wave (mm Wave) Multi-user massive MIMO This is an open access article under the CC BY-SA license.  ...  Nowadays, there has been growing interest in the Massive MIMO as a result of improving throughput by leveraging spatial freedom and array gain.  ...  In [36] , the authors used metrics via the optimization approach to achieve analog and digital precoding.  ... 
doi:10.12928/telkomnika.v18i1.13674 fatcat:45xvj2352zag7ana4uyth5ghjy

1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding

Ang Li, Christos Masouros, A. Lee Swindlehurst, Wei Yu
2021 IEEE Communications Magazine  
In this paper, we overview the recent interest in improving the errorrate performance of massive MIMO systems deployed with 1-bit DACs through precoding at the symbol level.  ...  This provides unique opportunities for interference-aware precoding tailored for practical massive MIMO systems.  ...  complicated binary optimization into peak amplitude constraints and better control over the 1-bit quantization for massive MIMO.  ... 
doi:10.1109/mcom.001.2000601 fatcat:r6difhy5gvhrhgbxog3efawrdu

Performance Optimization for Overloaded MIMO Systems with Virtual Channel Approach

Guide Yang, Yuanping Zhou, Wenlong Xia
2018 Wireless Communications and Mobile Computing  
The method that uses genetic algorithm (GA) for finding the optimal VC vector is described. Simulation results illustrate the effectiveness of the proposed approach.  ...  In this letter, we propose a virtual channel (VC) optimization approach with a closed-loop and adaptive scheme for overloaded MIMO systems.  ...  In this letter, GA is applied as the optimization algorithm to find the optimal VC vector to achieve better performance in terms of capacity and SER for the VC overloaded MIMO system.  ... 
doi:10.1155/2018/9651378 fatcat:y2lzbupqhncmjo6o7vzwlv2g3q

1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding [article]

Ang Li, Christos Masouros, A. Lee Swindlehurst, Wei Yu
2021 arXiv   pre-print
In this paper, we overview the recent interest in improving the error-rate performance of massive MIMO systems deployed with 1-bit DACs through precoding at the symbol level.  ...  This provides unique opportunities for interference-aware precoding tailored for practical massive MIMO systems.  ...  complicated binary optimization into peak amplitude constraints and better control over the 1-bit quantization for massive MIMO.  ... 
arXiv:2007.13950v3 fatcat:f73pi5hcnvhvtf5oq3j7d5lx24

An optimized hybrid beamforming for millimeter wave musassive MIMO system

2019 3C Tecnología  
In compromise between these two, a hybrid precoding for multiuser massive MIMO (MU-massive MIMO) systems with low-complexity and reasonable performance becomes necessary for next generation networks.  ...  The simulation results show that the performance of proposed hybrid precoding approaches the digital precoding in the term of total sum data rate as we increase number of RF chains and SNR.  ...  We design hybrid precoding for multiuser massive MIMO (MU-massive MIMO) in mmWave system as follows: (i) First we design analog and digital decoder for each user.  ... 
doi:10.17993/3ctecno.2019.specialissue.09 fatcat:y4jw7iupfrg4lo42cdrtevubsq

Overview of Precoding Techniques for Massive MIMO

Mahmoud A. Albreem, Alaa H. Al Habbash, Ammar M. Abu-Hudrouss, Salama S. Ikki
2021 IEEE Access  
Therefore, a plethora of research efforts has been conducted to find the optimal precoding algorithm with lowest complexity.  ...  Massive multiple-input multiple-output (MIMO) is playing a crucial role in the fifth generation (5G) and beyond 5G (B5G) communication systems.  ...  In addition, it can be used to optimize the MUI in the CE precoding algorithm.  ... 
doi:10.1109/access.2021.3073325 doaj:1d85efeb80d74e06921cfe2f3841e0ae fatcat:dpgcetdklrdvvcixqej2rcwbvy

MIMO and massive MIMO — Analysis for a local area scenario

Stefan Dierks, Wolfgang Zirwas, Markus Jager, Berthold Panzner, Gerhard Kramer
2015 2015 23rd European Signal Processing Conference (EUSIPCO)  
It is shown that using twice as many base station antennas as data streams provides most of the massive MIMO benefits.  ...  The performance of centralized and distributed deployments of massive MIMO in an office building is analyzed both with and without cooperation.  ...  Indoor Central Massive MIMO is a single central BS that uses Central Massive MIMO ("1" in Fig. 1 ).  ... 
doi:10.1109/eusipco.2015.7362825 dblp:conf/eusipco/DierksZJPK15 fatcat:7okuskdtxbh4liefitfm7gus5m

Low-complexity signal detection and precoding algorithms for multiuser massive MIMO systems

Abdelhak Boukharouba, Marwa Dehemchi, Asma Bouhafer
2021 SN Applied Sciences  
AbstractIn this study, we present efficient detection and precoding algorithms for massive multi-user multiple-input multiple-output wireless system.  ...  Through extensive numerical experiments, we demonstrate that the proposed algorithms outperform the recently published ones in terms of performance and complexity.  ...  The optimal detection for the MIMO system is the ML detection, in which the receiver finds a vector s such that ‖ − ‖ is minimized.  ... 
doi:10.1007/s42452-020-04085-z fatcat:2cgvo6hjdvcaxeubbm2qrtp26q

Analysis of Massive MIMO and Base Station Cooperation in an Indoor Scenario [article]

Stefan Dierks, Gerhard Kramer, Berthold Panzner, Wolfgang Zirwas
2018 arXiv   pre-print
For the distributed deployments (2) and (3), it is shown that using twice as many base station antennas as data streams provides many of the massive MIMO benefits in terms of spectral efficiency and fairness  ...  The distributed deployments use one of the following precoding methods: (1) local precoding with local channel state information (CSI) to the user equipments (UEs) that it serves; (2) large-scale MIMO  ...  Kramer were supported in part by an Alexander von Humboldt Professorship endowed by the German Federal Ministry of Education and Research.  ... 
arXiv:1801.02888v2 fatcat:ssc5hpscaffflmxjewl6dqivpu

A fast and low-complexity matrix inversion scheme based on CSM method for massive MIMO systems

Yue Xu, Weixia Zou, Liutong Du
2016 EURASIP Journal on Wireless Communications and Networking  
However, conventional linear precoding schemes in massive MIMO systems, such as regularized zero-forcing (RZF) precoding, have near-optimal performance but suffer from high computational complexity due  ...  Comparing with the Neumann series approximation of inversing matrix, it is concluded that, with fewer operations, the performance of CSM-based precoding is better than conventional methods in massive MIMO  ...  Moreover, CSM-based scheme approaches the near-optimal performance of RZF precoding in Rayleigh fading channels.  ... 
doi:10.1186/s13638-016-0749-3 fatcat:ckovyzlmbbgdveohy3j5wzmqke

Massive MIMO Wireless Networks: An Overview

Noha Hassan, Xavier Fernando
2017 Electronics  
In addition, we emphasize the advantage of employing millimeter wave (mmWave) frequency in the beamforming, and precoding operations in single, and multi-tier massive MIMO systems.  ...  There are few fundamental issues about massive MIMO networks that need to be better understood before their successful deployment.  ...  appreciation to PBE Canada (PBE is a global international heavy industries technology company for manufactured safety, communications and productivity systems) and Ryerson University for their help and support in  ... 
doi:10.3390/electronics6030063 fatcat:7mtjqladxfhaddeuvsr2ftf3by

Transmit Antenna Optimization in Massive MIMO Technology with EE, SE Trade off

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In this paper an effective approach for TAS and optimizing the number of antennas at base station for desired data rates have been proposed and a Tradeoff between SE (Spectral Efficiency), EE (energy Efficiency  ...  Massive MIMO Technology showed its unique characteristics and capabilities for future wireless communications where high data transmission rates are desired for fast growing 5G applications.  ...  He found that the Massive MIMO provides better orthogonality between channels and better stability characteristics when compared with MIMO system.  ... 
doi:10.35940/ijitee.a4738.119119 fatcat:bpdfaktqyfbctp346ehmadt5oy

Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System

Zhengnan Lv, Zhenghao Xi, Zhihan Lv
2021 Complexity  
A low-complexity multiuser hybrid precoding design scheme is proposed based on the wideband millimetre-wave large-scale Multiple-Input Multiple-Output (MIMO) system.  ...  The algorithm is based on the correlation dictionary and achieves the efficient and optimal selection of large-scale antenna arrays in the millimetre-wave band.  ...  Next, an antenna selection algorithm combining hybrid precoding is proposed, which first uses the optimal unconstrained precoding to find the antenna selection matrix, then uses this matrix as the basis  ... 
doi:10.1155/2021/1976499 fatcat:lmdcdx5atvbqdieekui2lfo7my

Semidefinite Relaxation-Based PAPR-Aware Precoding for Massive MIMO-OFDM Systems [article]

Miao Yao, Matt Carrick, Munawwar M. Sohul, Vuk Marojevic, Cameron D. Patterson, Jeffrey H. Reed
2018 arXiv   pre-print
This typically requires finding a solution to a nonconvex optimization problem.  ...  performance for OFDM-based massive MIMO systems.  ...  RELAXED PAPR-AWARE MASSIVE MIMO PRECODING USING SEMIDEFINITE PROGRAMMING In order to solve the previously derived nonconvex problems, one of the most common approaches is relaxing the nonconvex constraints  ... 
arXiv:1810.01523v1 fatcat:mk5sx4k2p5ho3fsh5fu6g3peli
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