Sum-Rate Performance of Massive MIMO Systems in Highly Scattering Channel with Semi-Orthogonal and Random User Selection

Sheikh, Tasher Ali; Bora, Joyatri; Hussain, Md. Anwar

doi:10.3103/s0735272718120026

Cited by 16 publications

(11 citation statements)

References 6 publications

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“…Unlike the SOS algorithm, there exist several user selection solutions aimed directly at the massive MIMO case, such as the random selection (RS) [29], [30], the delete the minimum lambda (DML) [31], and the correlation-based selection (CBS) [7], [32], [33] approaches. The RS approach is a naive way to perform user selection without optimizing any performance criterion.…”

Section: A User Selection In Massive Mimo Systemsmentioning

confidence: 99%

User Selection for Massive MIMO under Line-of-Sight Propagation

Chaves

Lima

Cetin

et al. 2022

IEEE Open J. Commun. Soc.

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This paper provides a review of user selection algorithms for massive multiple-input multiple-output (MIMO) systems under the line-of-sight (LoS) propagation model. Although the LoS propagation is extremely important to some promising technologies, like in millimeter-wave communications, massive MIMO systems are rarely studied under this propagation model. This paper fills this gap by providing a comprehensive study encompassing several user selection algorithms, different linear precoders and simulation setups, and also considers the effect of partial channel state information (CSI). One important result is the existence of practical cases in which the LoS propagation model may lead to significant levels of interference among users within a cell; these cases are not satisfactorily addressed by the existing user selection algorithms. Motivated by this issue, a new user selection algorithm based on inter-channel interference (ICI) called ICI-based selection (ICIBS) is proposed. Unlike other techniques, the ICIBS accounts for the ICI in a global manner, thus yielding better results, especially in cases where there are many users interfering with each other. In such scenarios, simulation results show that when compared to the competing algorithms, the proposed approach provided an improvement of at least 10.9% in the maximum throughput and 7.7% in the 95%-probability throughput when half of the users were selected.

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Section: A User Selection In Massive Mimo Systemsmentioning

confidence: 99%

User Selection for Massive MIMO under Line-of-Sight Propagation

Chaves

Lima

Cetin

et al. 2022

IEEE Open J. Commun. Soc.

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“…where SINR k, n is the signal-to-interference-plus-noise ratio (SINR) of the nth antenna of user k and is written as (see (19)) Proposition 1: Assuming low-resolution ADCs architectures is employed at the APs, an achievable uplink rate expression of user k with matched filtering receiver is formulated as…”

Section: Uplink Data Transmissionmentioning

confidence: 99%

“…the certain user's rate and sum-rate, subjecting to the limited resource constraints. Among all system evaluation criteria, the sum-rate plays a vital role since it reflects the total throughput of the system [19][20][21]. Therefore, how to maximise the sum-rate under the limited resources is of special interest.…”

Section: Introductionmentioning

confidence: 99%

Joint resource optimisation in cell‐free massive MIMO with low‐resolution ADCs

et al. 2020

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“…The random selection (RS) algorithm is one of the simple and naive user selection algorithms, which provides equal opportunities for all candidate users. However, RS does not consider the influence of the selected users on the spectral efficiency of the system so the massive MIMO system cannot achieve high throughput in general [8][9]. For frequency-division duplexing (FDD) systems, paper [10] proposed a user selection algorithm, taking aim at reducing feedback overhead, by employing the compressive sensing algorithm.…”

Section: Introductionmentioning

confidence: 99%

User Selection Scheme based on Reference Frames

Huang

Wang³

et al. 2022

Preprint

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For a multi-user (MU) massive multiple-input multiple-output (MIMO) system, its total throughput is directly related to the degree of mutual interference among user's channel vectors accessing the communication system. Selecting a group of users with the least mutual interference can maximize the total throughput, and thus, it is important to select users with low-mutual correlations. The paper designs two effective MU selection schemes with low-complexity. Specifically, based on channel characteristic, reference frames with low correlation are contructed. Then, the user whose channel is nearby an vector in the reference frame is selected, and different selected users are close to different vectors in the reference frame. Consequently, it can guarantee that the selected users have low mutual correlations. Comparing to the existing user selection schemes, the proposed algorithms exhibit better performance. Moreover, the schemes are more flexible, that is, the schemes can be applied into different environments, such as different number of antennas at base station (BS), different candidates, different number of selected users etc, based on different reference frames.

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Sum-Rate Performance of Massive MIMO Systems in Highly Scattering Channel with Semi-Orthogonal and Random User Selection

Cited by 16 publications

References 6 publications

User Selection for Massive MIMO under Line-of-Sight Propagation

User Selection for Massive MIMO under Line-of-Sight Propagation

Joint resource optimisation in cell‐free massive MIMO with low‐resolution ADCs

User Selection Scheme based on Reference Frames

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