Beamforming Signal Processing Performance Analysis for Massive MIMO Systems

Stepanets, Irina; Fokin, Grigoriy

doi:10.1007/978-3-030-30859-9_28

Cited by 5 publications

(2 citation statements)

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“…Corresponding weights w i can be described below where w i represents array factor and amplitude weight are applied by w b ( Stepanets & Fokin, 2019 ),…”

Section: Proposed Modelmentioning

confidence: 99%

Millimeter-wave channel modeling in a VANETs using coding techniques

Ahmed

Rasheed

Omar

2023

PeerJ Computer Science

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The Vehicular ad-Hoc Network (VANET) is envisioned to ensure wireless transmission with ultra-high reliability. In the presence of fading and mobility of vehicles, error-free information between Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) requires extensive investigation. The current literature lacks in designing an ultra-reliable comprehensive tractable model for VANET using millimeter wave. Ultra-reliable communication is needed to support autonomous vehicular communication. This article aims to provide a comprehensive tractable model for VANET over millimeter waves using Space-Time-Block-Coding (STBC) concatenated with Reed Solomon (RS) coding. The designed model provides the fastest way of designing and analyzing VANET networks on 60 GHz. By using the derived BER expressions and Reed Solomon coded doppler expression ultra-reliable vehicular networks can be build meeting the demands of massive growing volume of traffic. The performance of the model is compared with previous BER computational techniques and existing VANET communication systems, i.e., IEEE 802.11bd and 3rd generation partnership project vehicle to everything (3GPP V2X). The findings show that our proposed approach outperforms IEEE 802.11bd and the results are comparable with V2X NR. Packet Error Rate (PER), Packet Reception Ratio (PRR) and throughput are used as performance metrics. We have also evaluated the model on higher velocities of vehicles. Further, the simulation and numerical findings show that the proposed system surpass the existing BER results comprising of various modulation and coding techniques. The simulation results are verified by the numerical results there-by, showing the accuracy of our derived expressions.

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“…Corresponding weights w i can be described below where w i represents array factor and amplitude weight are applied by w b ( Stepanets & Fokin, 2019 ),…”

Section: Proposed Modelmentioning

confidence: 99%

Millimeter-wave channel modeling in a VANETs using coding techniques

Ahmed

Rasheed

Omar

2023

PeerJ Computer Science

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“…MIMO's basic concept is over a century old, and directed beamforming employing an antenna array was proposed to allow more aggressive frequency reuse of restricted spectrumin this case, very low frequencyfor transoceanic communication. [1] There are three distinct types of MIMO technology: Point-to-Point MIMO, Multiuser MIMO, and Massive MIMO, all of which were developed in different time periods. In this text, you'll learn about Massive MIMO, which is often considered to be the ultimate MIMO technique.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of 64 x 64 c Node-B Antenna Beamforming for 5G Mobile System

2023

IJCCCE

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Since the need for larger data rates and wireless system radio networks has increased, several organizations in this industry have started to develop and implement their 5G mobile technology scenarios. Since mobile telecommunications' quick expansion has motivated companies to constantly plan and work from the first generation to the fourth generation of mobile technologies. MIMO systems and beamforming antenna arrays are expected to be very important. In the 5G wireless communication systems to be utilized after 2020, when they are paired with massive MIMO systems. In this paper, the main goal is to determine the benefits of beamforming techniques in massive MIMO systems in order to increase system throughput and reduce interference, thus eliminating and resolving the various technical challenges that are presented by the implementation of massive MIMO system architectures. The goal of this work is to contribute to the development of a 5G mobile system's C-Node-B base station transceiver. The suggested design makes use of a (64 x 64 MIMO) system and optimum the beamforming technology, MIMO parameters, and the primary fundamental parameters in beamforming. Index Terms: 5G mobile system, Massive MIMO, Beamforming.

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