Ergodic spectral efficiency of massive MIMO with correlated Rician channel and MRC detection based on LS and MMSE channel estimation

Sadraei, Mohammad Hadi; Fazel, Mohammad Sadegh; Doost-Hoseini, Ali Mohammad

doi:10.1049/iet-com.2019.0905

Cited by 5 publications

(2 citation statements)

References 35 publications

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“…Specifically, it was determined that as the Rician K factor increases, the adverse effects produced by imperfect channel estimation at the receiver are reduced. In [ 16 ], the performance of massive MIMO systems in correlated Rician fading is evaluated. The authors analyze spectral efficiency in systems composed of multiple cells considering various channel estimators.…”

Section: Introductionmentioning

confidence: 99%

A Scheduling Scheme for Improving the Performance and Security of MU-MIMO Systems

Mora

Garzón

Cacuango

et al. 2022

Sensors

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For the receiver of multiple-input multiple-output (MIMO) systems, linear detectors are an interesting option due to their good performance and low complexity. Nevertheless, MIMO systems lose diversity in exchange for eliminating interference when linear detectors are used. Aiming to maintain the system diversity while mitigating interference between users, this work proposes a scheduling scheme for the uplink of multiuser MIMO (MU-MIMO) systems that employ A antennas and the zero-forcing (ZF) detector at the receiver in the base station (BS). The channel model includes Rician fading and additive white Gaussian noise (AWGN) in an imperfect channel estimation scenario. The proposed scheme selects U users from a group of Ut users to transmit simultaneously, so that the signal-to-noise ratio (SNR) is maximized. For this, an exact expression to evaluate the SNR of the users is obtained. With this result, the scheduling strategy is proposed. Results show that as Ut increases, the outage probability (OP), and the bit error rate (BER) decrease as the system diversity increases, even when the system is completely loaded, i.e., when U=A. Moreover, it is shown that the scheduling scheme counteracts the imperfect channel estimation effects as Ut increases. Finally, the proposed scheme is tested in presence of an external eavesdropper trying to decode the information sent by the users. The results show that the presented proposal allows for a reduction of the secrecy-outage-probability (SOP) as Ut increases.

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Section: Introductionmentioning

confidence: 99%

A Scheduling Scheme for Improving the Performance and Security of MU-MIMO Systems

Mora

Garzón

Cacuango

et al. 2022

Sensors

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show abstract

“…At present, the least squares (LS) channel estimation scheme is still widely used in the actual communication system, 20,21 but the estimation performance of LS channel estimation method is poor in the environment with strong multipath fading, high dynamic, and great noise influence. Therefore, there is thereby an urgent need, but it is still a significant challenge to improve the performance of least square channel estimation in practical engineering applications.…”

Section: Introductionmentioning

confidence: 99%

The research on channel estimation and signal‐noise ratio estimation based on minimum error entropy kalman filter for single carrier frequency domain equalization system

Pengyu

Xiang

Liang

et al. 2022

Int J Communication

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In this paper, the channel estimation and signal-to-noise ratio (SNR) estimation technique of single-carrier frequency domain equalization (SC-FDE) system under low SNR in aeronautical multipath channel are studied, a SNR estimation algorithm which is easy to implement in engineering and an improved LS channel estimation algorithm based on Kalman filter using minimum error entropy (MEE-KF) are proposed. This paper first introduces the SC-FDE system and introduces the principle of MEE-KF, and then, the channel estimation flow based on MEE-KF is obtained by combining it with the traditional LS channel estimation algorithm, which makes the estimation results perform better. Simulation results show that after getting more accurate noise variance, the channel estimation results can better follow the changes of the channel after MEE-KF processing, so as to resist the doppler frequency offset effect and make the channel estimation results more accurate, that is the channel response results of the data part can be closer to the real situation, so that the communication performance of SC-FDE system has also been greatly improved.

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Trajectory planning aided unmanned surface vehicle optimization communication method with hierarchical reinforcement learning

Tang,

Shi,

Zhang

2024

Ocean Engineering

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Ergodic spectral efficiency of massive MIMO with correlated Rician channel and MRC detection based on LS and MMSE channel estimation

Cited by 5 publications

References 35 publications

A Scheduling Scheme for Improving the Performance and Security of MU-MIMO Systems

A Scheduling Scheme for Improving the Performance and Security of MU-MIMO Systems

The research on channel estimation and signal‐noise ratio estimation based on minimum error entropy kalman filter for single carrier frequency domain equalization system

Trajectory planning aided unmanned surface vehicle optimization communication method with hierarchical reinforcement learning

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