Performance comparison of multicast MIMO systems employing spatial modulation and coded spatial modulation in fading channels

Pillai, Salini S.; Satapathy, Jyotirmayee; Jeemon, Basil K

doi:10.1109/icicict1.2017.8342798

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…At the base station (BS), the structure of the DL precoder depends on the channel estimate that had been obtained in the previous UL slot. In TDD, channel recoupling is usually assumed [8,9].…”

Section: System Modelmentioning

confidence: 99%

Development of a Modified Newton Iteration Algorithm for massive MIMO systems with precoding and its study in MATLAB environment

Glushankov

Boyko

Kirik

et al. 2022

J. Phys.: Conf. Ser.

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The aim of this work is to create an iterative precoding algorithm with a higher convergence rate compared to known algorithms. This paper considers the task of antenna system pattern formation using linear precoding for massive MIMO systems, including precoders with approximate matrix inversion methods, such as the use of the Newton Iteration Algorithm. A variant of the Modified Newton Iteration Algorithm with a variable adaptation step is also proposed. A mathematical description of signal processing in the downlink model for massive MIMO systems is given, as well as linear precoding procedures. The convergence of the algorithm has been analyzed from the initial parameters determining the adaptation step, from the number of user equipment served, as well as the angle of user equipment position.

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Section: System Modelmentioning

confidence: 99%

Development of a Modified Newton Iteration Algorithm for massive MIMO systems with precoding and its study in MATLAB environment

Glushankov

Boyko

Kirik

et al. 2022

J. Phys.: Conf. Ser.

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“…In the past few years, several approaches are proposed to reduce the RF complexity and consumption of massive MIMO systems. Spatial modulation is one method that antenna radiation patterns are utilized for extra transmission information 8,9 . Antenna selection is another method to reduce the RF complexity by using less switches to control the ON/OFF state of each antenna based on the channel state information 10–12 .…”

Section: Introductionmentioning

confidence: 99%

“…Spatial modulation is one method that antenna radiation patterns are utilized for extra transmission information. 8,9 Antenna selection is another method to reduce the RF complexity by using less switches to control the ON/OFF state of each antenna based on the channel state information. [10][11][12] The method used in the commercial 5G systems is subconnected scheme with a hybrid analog-digital precoding technique.…”

Section: Introductionmentioning

confidence: 99%

A low‐power‐consumption massive MIMO scheme based on multibeam antenna array

Zhang

et al. 2022

Micro & Optical Tech Letters

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In this paper, a low-power-consumption massive multiple-input and multipleoutput (MIMO) scheme with an integrated multibeam antenna array is proposed for the green fifth-generation (5G) communication base stations. The referenced antenna array includes 8 × 16 dual-polarized antennas with Butler matrix networks, leading to low radiofrequency (RF) complexity and low consumption. The measured results demonstrate that the antenna array achieves four beam clusters with a 45°coverage in elevated plane, with gain of 15.4 dBi at 3.6 GHz. Based on this, the generated beam clusters and corresponding RF chains can be switched independently according to the real-time user scenario. It is analyzed that the consumption for both RF chains and computation can be reduced with a similar channel capacity compared with the conventional phased array. With the merits of low complexity and low consumption, the proposed massive MIMO scheme exhibits promising usage for green 5G base station applications.

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