Design and Simulation of a Single Element High Gain Microstrip Patch Antenna for 5G Wireless Communication

Faisal, Muhammad Mostafa Amir; Moukafih, Nabil; Kamruzzaman, Md.

doi:10.1109/iciset.2018.8745567

Cited by 17 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The BS-user channel and the IRS-user channel are generated according to the following geometric channel model [32] that has been widely used to characterize the mmWave channel: where L is the number of paths, α l is the complex gain associated with the lth path, φ l ∈ [0, 2π] is the associated azimuth angle of departure, a t ∈ C N is the normalized transmit array response vector, λ r and λ t represent the receive and transmit antenna element gain. According to [14], [35], λ r and λ t are respectively set to 0dBi and 0dBi for the BSuser link, and 0dBi and 9.82dBi for the IRS-user link. The complex gain α l is generated according to a complex Gaussian distribution [36] α l ∼ CN (0, 10 −0.1κ )…”

Section: Simulation Resultsmentioning

confidence: 99%

Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

Wang,

Fang,

Yuan

et al. 2019

Preprint

View full text Add to dashboard Cite

Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, the severe path loss and high directivity make it vulnerable to blockage events, which can be frequent in indoor and dense urban environments. To address this issue, in this paper, we introduce intelligent reflecting surface (IRS) as a new technology to provide effective reflected paths to enhance coverage of mmWave signals. In this framework, we study joint active and passive precoding design for IRSassisted mmWave systems, where multiple IRSs are deployed to assist the data transmission from a base station (BS) to a single-antenna receiver. Our objective is to maximize the received signal power by jointly optimizing the transmit precoding vector at the BS and the phase shift parameters used by IRSs for passive beamforming. Although such an optimization problem is generally non-convex, we show that, by exploiting some important characteristics of mmWave channels, an optimal closed-form solution can be derived for the single IRS case and a nearoptimal analytical solution can be obtained for the multi-IRS case. Our analysis reveals that the received signal power increases quadratically with the number of reflecting elements for both the single IRS and multi-IRS cases. Simulation results are included to verify the optimality and near-optimality of our proposed solutions. Results also show that IRSs can help create effective virtual LOS paths and thus substantially improve robustness against blockages in mmWave communications.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

Wang,

Fang,

Yuan

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…The VSWR (Voltage Standing Wave Ratio) must be between 1 and 2 [18,22]. Based on our result, we found that at the operating frequency which is 25 GHz, the value of VSWR is 1.5 dB.…”

Section: Return Loss and Bandwidthmentioning

confidence: 58%

Design And Simulation of a Hexagonal High-Gain MIMO Patch Antenna For 5G Applications

Borel,

Priyadarshini

2023

ijmst

View full text Add to dashboard Cite

View of the technological evolution and the problems encountered by the world, researchers are obliged to find solutions, particularly researchers in the field of antennas. This article has been devoted to the design and study of a hexagonal dual-band MIMO patch antenna for Satellite and 5G applications. Several parameters have been studied, we can quote among other things the gain, the bandwidth, the radiation diagram, the directivity, and the distribution of the electric field E. To achieve these studies and find optimal solutions, several designs have been made like the design of a simple hexagonal patch antenna, and, in the end, the proposed antenna is a MIMO with a hexagonal shape and 2 feeding ports. The proposed antenna operates at 25 GHz as the central frequency. The obtained ECC (envelope correlation coefficient) value is less than 0.006 for the entire operating bandwidth, which satisfies the standard value criteria of less than 0.5 and indicates minimal isolation between the antenna arrays. The values of the gain and the maximum directivity of the antenna obtained are respectively 8.12 dB and 8.37 dB, which gives us an efficiency of the antenna at 97.01% with high isolation > 25 dB. The results are found to be sufficient for the device to be used for mm-wave 5G MIMO applications. Additional MIMO performance metrics, such as the channel capacity loss (CCL), diversity gain (DG), and total active reflection coefficient (TARC), are evaluated. All this work has been done using HFSS 15 as software.

show abstract

“…where L is the number of paths, α l is the complex gain associated with the lth path, φ a l (φ e l ) is the associated azimuth (elevation) angle of departure, a t ∈ C M is the normalized transmit array response vector, λ r and λ t denote the receive and transmit antenna element gain. According to [9], [19], λ r and λ t are respectively set to 0dBi and 9.82dBi for the IRSuser link. The complex gain α l is generated according to a complex Gaussian distribution [20] α l ∼ CN (0, 10 −0.1κ )…”

Section: Simulation Resultsmentioning

confidence: 99%

Joint Beamforming for Intelligent Reflecting Surface-Assisted Millimeter Wave Communications

Wang,

Fang,

2019

Preprint

View full text Add to dashboard Cite

Millimeter wave (mmWave) communications are evolving as a promising technology to meet the ever increasing data rate requirements. However, high directivity and severe path loss make it vulnerable to blockages, which could be frequent in indoor or urban environments. To address this issue, intelligent reflecting surfaces (IRSs) are introduced to provide additional adjustable reflected paths. Most prior works assume that elements of IRSs have an infinite phase resolution, which is difficult to be realized in practical systems. In this paper, IRSs with low-resolution phase shifters are considered. We aim to maximize the receive signal power at the user by jointly optimizing discrete phase shifts of IRSs and the transmit beamforming vector at the base station for mmWave downlink systems. An analytical near-optimal solution is developed by exploiting some important characteristics of mmWave channels. Our theoretical analysis reveals that low-resolution phase shifters can still achieve a receive signal power that increases quadratically with the number of reflecting elements. Simulation results are provided to corroborate our analysis and show the effectiveness of the proposed solution.

show abstract

Design and Simulation of a Single Element High Gain Microstrip Patch Antenna for 5G Wireless Communication

Cited by 17 publications

References 11 publications

Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

Design And Simulation of a Hexagonal High-Gain MIMO Patch Antenna For 5G Applications

Joint Beamforming for Intelligent Reflecting Surface-Assisted Millimeter Wave Communications

Contact Info

Product

Resources

About