A Study on the Basics Processes of Massive MIMO

Abdelfatah, Marwa; ElSayed, Shaimaa; Zekry, Abdelhalim

doi:10.12720/jcm.17.3.167-179

Cited by 16 publications

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“…The massive MIMO has two transmission paths, downlink (DL) transmission and uplink (UL) transmission. The DL transmission means the transmission from the BS to the users, and the UL transmission means the transmission from the users to the BS [1], [2]. Beamforming in massive MIMO refers to signal processing procedures that aim to transmit and receive the signals through the system efficiently.…”

Section: Introductionmentioning

confidence: 99%

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User Selection Methods for Overcoming Growing Number of Served Users in Massive MIMO Systems

2023

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Massive MIMO is dominant in the current wireless communication systems. Massive MIMO system uses a massive number of antennas to serve multi-users simultaneously. The growth of served users in the system will increase the interference between them and affect the system's performance. To maintain the qualified service for the growing number of users, user selection techniques can be used to separate users into groups to be served well. This paper proposes three user selection methods named Mean Step User Selection (MSUS), Second Null User Selection (SNUS), and Interference Threshold User Selection (ITUS) methods. These three user selection methods aim to serve users with the best possible performance. The performance of these proposed user selection methods will be evaluated and compared with the performance of the system without selection and with the system using other user selection methods such as Random User Selection (RUS), Semi-orthogonal User Selection (SUS), and Inter-Channel Interference Based Selection (ICIBS) methods. The simulation shows that the proposed MSUS, SNUS, and ITUS methods provide an improvement in the spectral efficiency of 75.39%, 92.13%, and 153.71% when compared with the system without the selection method. The proposed user selection methods also improve performance compared to other user selection methods.

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Section: Introductionmentioning

confidence: 99%

“…beamforming (receive combining) in UL aims to separate the signals from the different users at the BS. The transmit beamforming (transmit precoding) in DL aims to direct the signals from the BS to the intended users' locations [1], [3], [4], [5].…”

Section: Introductionmentioning

confidence: 99%

User Selection Methods for Overcoming Growing Number of Served Users in Massive MIMO Systems

2023

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Orthogonal beamforming technique for massive MIMO systems

Abdelfatah,

Zekry,

ElSayed

2024

Ann. Telecommun.

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Beamforming represents a pivotal technology in massive multiple-input multiple-output (MIMO) systems, as it facilitates the regulation of transmission and reception operations. Beamforming techniques’ categorization is based either on their hardware architecture or implementation strategy. This paper proposes an orthogonal beamforming technology founded on a specific implementation method that utilizes predetermined orthogonal beams to serve users. The suggested approach incorporates numerous orthogonal beams relying on a substantial number of antennas at the base station. The primary objective of this approach is to enhance the performance of massive MIMO systems by augmenting spectral efficiency and accommodating more users. The proposed beamforming approach is well suited for millimeter frequency bands. The purpose of this paper is to explore the suggested orthogonal beamforming technology. The concept of this approach is described at first and then followed by an evaluation of its efficacy for a single user through the allocation of orthogonal beams. The suggested approach is also examined in the context of multiuser systems, and the results are compared with the adaptive ZF beamforming technique. Furthermore, the paper presents solutions to the issues that may arise in multiuser systems, for example, ensuring that each orthogonal beam is assigned to only one user. The simulations conducted in this study demonstrate that the suggested approach outperforms the ZF technique in terms of both the spectral efficiency and the number of serviced users. Specifically, the suggested approach can enhance SE by approximately 40.6% over the ZF technique, and it can support up to double the number of users when compared to the ZF approach.

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A RIS-Aided MIMO Secure Communication Scheme Based on Subarray Partition

Wang,

Zhi

2023

2023 9th International Conference on Computer and Communications (ICCC)

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A Study on the Basics Processes of Massive MIMO

Cited by 16 publications

References 0 publications

User Selection Methods for Overcoming Growing Number of Served Users in Massive MIMO Systems

User Selection Methods for Overcoming Growing Number of Served Users in Massive MIMO Systems

Orthogonal beamforming technique for massive MIMO systems

A RIS-Aided MIMO Secure Communication Scheme Based on Subarray Partition

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