Performance Analysis of Downlink Linear Precoding in Massive MIMO Systems Under Imperfect CSI

Israr, Adil; Rauf, Zahid; Muhammad, Jan; Khan, Faisal

doi:10.1007/s11277-017-4314-0

Cited by 19 publications

(3 citation statements)

References 27 publications

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“…Also, Base band channels crossing through BS to UEs. We assumed that the BS has "Perfect channel -state information (CSI)" [9] and nakagami-m fading channel for all channels involved in this work. The BS transmits a signal that is given by:…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Precoding Schemes for Multi User Massive MIMO System Over Nakagami-m Fading Channel

Meko¹,

Tulu²,

Bashu³

2021

Preprint

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Nowadays, wireless communication system plays great roles in our dailyactivities and different improvements are requiring because the number of users increase from time to time. At the same time, users need high throughput and link reliability. The forthcoming generation of wireless communication will have to deal with some core requirements for serving large number of users simultaneously, upholdinghigh throughput for each user, assuring less energy consumption, etc. Inter-user interference has a major impact when a wireless communication link has a large number of users. To maintain a particular desired quality of service, sophisticated transmission mechanisms such as interference cancellation need be implemented. As a result, MU-massive MIMO with extremely huge antenna arrays is recommended. The term ”MU-massive MIMO” refers to a system with hundreds or thousands of antennas servicing tens of thousands of customers.Inter-user interference was greatly decreased once the channel vectors were closely orthogonal. As a result, high data rates can be supplied to multiple users at the same time. In this work, researcher investigated performance evaluation of a MU-massive MIMO utilizing different precoding schemes (like, MMSE, ZF, MRT) over nakagami-m fading channel with CSI at base station and users’ terminal. In addition, the researcher analyzed the outcome of pilot reuse factors and shaping (m) parameter.

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Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Precoding Schemes for Multi User Massive MIMO System Over Nakagami-m Fading Channel

Meko¹,

Tulu²,

Bashu³

2021

Preprint

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“…Imperfect CSI leads to performance degradation, and its effect on the uplink of FBMC-based massive MIMO was studied in [12]. The design of an effective precoder in presence of channel estimation errors has been the subject of multiple publications on narrow-band [37]- [40] and OFDM-based [41], [42] massive MIMO systems. Authors in [37] evalu-ated the performance of narrow-band Massive MIMO with linear precoding techniques.…”

Section: Introductionmentioning

confidence: 99%

“…The design of an effective precoder in presence of channel estimation errors has been the subject of multiple publications on narrow-band [37]- [40] and OFDM-based [41], [42] massive MIMO systems. Authors in [37] evalu-ated the performance of narrow-band Massive MIMO with linear precoding techniques. Spectral efficiency, represented by achievable rate, and energy efficiency for zero forcing (ZF) and maximum ratio transmission (MRT) precoders, under imperfect CSI, are investigated in this work.…”

Section: Introductionmentioning

confidence: 99%

Downlink Transmission in FBMC-based Massive MIMO with Co-located and Distributed Antennas

Hosseiny¹,

Farhang²,

Farhang‐Boroujeny³

2023

Preprint

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<p>In this paper, a practical precoding method for the downlink of filter bank multicarrier-based (FBMC-based) massive multiple-input multiple-output (MIMO) is developed. The proposed method includes a two-stage precoder consisting of a fractionally spaced prefilter (FSP) per subcarrier for flattening/equalizing the channel across the subcarrier band, followed by a conventional precoder whose goal is to concentrate the signals of different users at their spatial locations. This way, each user receives only the intended information. We take note of the fact that channel reciprocity may not hold perfectly in practical scenarios due to the mismatch of radio chains in uplink and downlink. Additionally, channel state information (CSI) at the base station may not be perfectly known. These can lead to detrimental effects on the downlink precoder performance. We theoretically analyze the performance of the proposed precoder in the presence of imperfect CSI and channel reciprocity calibration errors. This leads to an effective method for compensating for these effects. Our study includes both cases of co-located (i.e., cell-based) and cell-free massive MIMO. Finally, we numerically evaluate the performance of the proposed precoder. Our results show that the proposed precoder leads to an excellent performance when benchmarked against orthogonal frequency division multiplexing (OFDM).</p>

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Optimal Modulation Technique for MIMO FSO Link

Israr

Khan

et al. 2019

Wireless Pers Commun

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Performance Analysis of Downlink Linear Precoding in Massive MIMO Systems Under Imperfect CSI

Cited by 19 publications

References 27 publications

Performance Evaluation of Precoding Schemes for Multi User Massive MIMO System Over Nakagami-m Fading Channel

Performance Evaluation of Precoding Schemes for Multi User Massive MIMO System Over Nakagami-m Fading Channel

Downlink Transmission in FBMC-based Massive MIMO with Co-located and Distributed Antennas

Optimal Modulation Technique for MIMO FSO Link

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