Antenna selection for MIMO systems over Weibull–Gamma fading channel

Tiwari, Keerti; Saini, Davinder S.; Bhooshan, Sunil

doi:10.1016/j.pisc.2016.06.004

Cited by 14 publications

(9 citation statements)

References 5 publications

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“…As MIMO systems have been actively involved in the structure of wireless networks over the past 10 years, many related studies have been published and mainly focusing on performance metrics. For example, [3][4][5][6][7][8][9][10] study performance calculation approaches of various MIMO systems under different conditions and provide corresponding results. In order to adequately cover the area between source and destination, a number of antennas are required.…”

Section: Previous Workmentioning

confidence: 99%

Evaluation Methodology of MIMO Networks Performance over Rayleigh Fading

Stergiou¹,

Angelis²,

Margariti³

2020

IJCNC

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Today, the explosive growth of Multiple Input Multiple Output (MIMO) systems has resulted in a high data rate and consequently permits the operation of a variety of applications. The MIMO networks are multiparameter systems, so the choice of a suitable MIMO network in wireless communications is a complex issue. In this paper, a multi-factoring evaluation and comparison framework was introduced and applied to MIMO systems. The proposed methodology is based on a general distance function, named the General Evaluation Factor. This method was applied to MIMO networks that operate over Rayleigh fading channels with different antenna nodes and spacing. The implementation of this method was based on different capacities and cost values. Nevertheless, while only two factors (capacity and cost) were studied in this paper, the proposed approach was able to incorporate additional performance metrics that might be essential for many wireless system designs. The presented framework and results aspire to be useful for network engineering, especially when finding a balance between contradictory factors (e.g. cost and performance metrics) on MIMO networks.

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Section: Previous Workmentioning

confidence: 99%

Evaluation Methodology of MIMO Networks Performance over Rayleigh Fading

Stergiou¹,

Angelis²,

Margariti³

2020

IJCNC

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“…Multiple input multiple output (MIMO) antennas are deployed on both sides of the wireless communication link to achieve higher performance over single input single output (SISO) antennas without demanding higher bandwidth or transmit power [1]. Key advantages of MIMO antennas are multiplexing, beamforming, and spatial diversity to increase data rates, improving link reliability and achieve protection against interference [2] [3].…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of Users’ Body Effects on a Fourteen-Element Dual-Band 5G MIMO Mobile Terminal Antenna

Elshirkasi

Al‐Hadi

Khan³

et al. 2022

IEEE Access

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This paper studies the performance of a 14-element dual-band 5G MIMO antenna with body effect and an antenna selection. The antenna operates in the lower frequency band from 3.10 to 3.85 GHz for 5G bands of LTE 42 and 43, whereas the upper band is from 5.60 to 7.20 GHz for the newly assigned 6 GHz WiFi band. The antenna performance was evaluated in free space and under the effect of human body in three scenarios, namely one-hand, two-hands, and call mode. All resulting envelope correlation coefficients are less than 0.3. On the other hand, the free space efficiency of the antenna elements is between 41 % to 77 % in the lower band and 61 % to 95 % in the upper band. Meanwhile, the efficiency of the elements varies depending on the interaction between each element with the hands and the head, with the least obstructed element efficiency degrading to 8 % relative to free space levels. Due to the body effect, multiplexing efficiency loss varies from 2.68 dB to 5.93 dB and the capacity loss is from 14 % to 38 %. Finally, a selection algorithm is used to assess the performance of the overall antenna when 12, 10 and 8 antenna elements are selected for operation. In free space and with number of elements 12, 10 and 8, the system achieves 91.7 %, 80 % and 67 % from the capacity of the 14-element MIMO antenna, respectively. However, in the vicinity of the body, these values increase to 96.3 %, 85.0 % and 72 % from the capacity of the 14-element MIMO antenna, respectively. This signifies that the less-contributing elements as a result of body blockage can be deselected in order to preserve system resources that these elements consume while contributing less significantly to the performance.INDEX TERMS Multiple-input-multiple-output antennas, antenna selection, channel capacity, user effects

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“…In this study, we propose a novel energy harvesting two‐time‐slot bidirectional relaying scheme with a max–min antenna selection scheme. Although multiple antennas at the relay exhibit better performance than single antenna relay, the deployment of multiple antennas at the relay is limited by cost, because of the expense of microwave baseband frequency converter, the AID converter increases with the number of antennas [23]. Antenna selection is known to be a promising technique that reduces the cost and complexity while keeping the diversity benefits of all antennas.…”

Section: Introductionmentioning

confidence: 99%