MIMO Antenna Design for 5G Communication Systems Using Salp Swarm Algorithm

2020 ◽  
Author(s):  
Achilles D. Boursianis ◽  
Sotirios K. Goudos ◽  
Traianos V. Yioultsis ◽  
Katherine Siakavara ◽  
Paolo Rocca
Keyword(s):  
Communication Systems ◽  
Antenna Design ◽  
Mimo Antenna ◽  
Salp Swarm Algorithm ◽  
5G Communication ◽  
Swarm Algorithm

scholarly journals Nature Inspired MIMO Antenna System for Future mmWave Technologies

Micromachines ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1083
Author(s):  
Saifur Rahman ◽  
Xin-cheng Ren ◽  
Ahsan Altaf ◽  
Muhammad Irfan ◽  
Mujeeb Abdullah ◽  
...  
Keyword(s):  
Communication Systems ◽  
High Efficiency ◽  
Multiple Input Multiple Output ◽  
Antenna System ◽  
Potential Candidate ◽  
Mimo Antenna ◽  
Communication Devices ◽  
Input Multiple Output ◽  
Measured Efficiency ◽  
5G Communication

In this work, a new Multiple Input Multiple Output (MIMO) antenna system with a novel shape inspired by nature is proposed for Fifth-Generation (5G) communication systems. The antenna is designed on a Rogers 5880. The dielectric constant of the substrate is 2.2, and the loss tangent is assumed to be 0.0009. The gain of the system for the desired bandwidth is nearly 8 dB. The simulated and the measured efficiency of the proposed system is 95% and 80%, respectively. To demonstrate the capability of the system as a potential candidate for future 5G communication devices, MIMO key performance parameters such as the Envelope Correlation Coefficient (ECC) and Diversity Gain (DG) are computed. It is found that the proposed system has low ECC, constant DG, and high efficiency for the desired bandwidth.

5G/B5G Internet of Things MIMO Antenna Design

Signals ◽  
2022 ◽  
Vol 3 (1) ◽  
pp. 29-37
Author(s):  
Muhammad Ikram
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Communication Systems ◽  
Antenna Design ◽  
Slot Antenna ◽  
Fourth Generation ◽  
Mimo Antenna ◽  
Fifth Generation ◽  
Sixth Generation ◽  
Multiple Input

The current and future wireless communication systems, WiFi, fourth generation (4G), fifth generation (5G), Beyond5G, and sixth generation (6G), are mixtures of many frequency spectrums. Thus, multi-functional common or shared aperture antenna modules, which operate at multiband frequency spectrums, are very desirable. This paper presents a multiple-input and multiple-output (MIMO) antenna design for the 5G/B5G Internet of Things (IoT). The proposed MIMO antenna is designed to operate at multiple bands, i.e., at 3.5 GHz, 3.6 GHz, and 3.7 GHz microwave Sub-6 GHz and 28 GHz mm-wave bands, by employing a single radiating aperture, which is based on a tapered slot antenna. As a proof of concept, multiple tapered slots are placed on the corner of the proposed prototype. With this configuration, multiple directive beams pointing in different directions have been achieved at both bands, which in turn provide uncorrelated channels in MIMO communication. A 3.5 dBi realized gain at 3.6 GHz and an 8 dBi realized gain at 28 GHz are achieved, showing that the proposed design is a suitable candidate for multiple wireless communication standards at Sub-6 GHz and mm-wave bands. The final MIMO structure is printed using PCB technology with an overall size of 120 × 60 × 10 mm3, which matches the dimensions of a modern mobile phone.

scholarly journals An Efficient Approximation for Nakagami-mQuantile Function Based on Generalized Opposition-Based Quantum Salp Swarm Algorithm

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Hongyuan Gao ◽  
Yangyang Hou ◽  
Shibo Zhang ◽  
Ming Diao
Keyword(s):  
Wireless Communication ◽  
Communication Systems ◽  
Quantile Function ◽  
Closed Form Expression ◽  
Wireless Communication Systems ◽  
Form Expression ◽  
Salp Swarm Algorithm ◽  
Simulation Results ◽  
Swarm Algorithm ◽  
Theoretical Analyses

With the further research in communication systems, especially in wireless communication systems, a statistical model called Nakagami-mdistribution appears to have better performance than other distributions, including Rice and Rayleigh, in explaining received faded envelopes. Therefore, the Nakagami-mquantile function plays an important role in numerical calculations and theoretical analyses for wireless communication systems. However, it is quite difficult to operate numerical calculations and theoretical analyses because Nakagami-mquantile function has no exact closed-form expression. In order to obtain the closed-form expression that is able to fit the curve of Nakagami-mquantile function as well as possible, we adopt the method of curve fitting in this paper. An efficient expression for approximating the Nakagami-mquantile function is proposed first and then a novel heuristic optimization algorithm—generalized opposition-based quantum salp swarm algorithm (GO-QSSA)—which contains quantum computation, intelligence inspired by salp swarm and generalized opposition-based learning strategy in quantum space, to compute the coefficients of the proposed expression. Meanwhile, we compare GO-QSSA with three swarm intelligence algorithms: artificial bee colony algorithm (ABC), particle swarm optimization algorithm (PSO), and salp swarm algorithm (SSA). The comparing simulation results reveal that GO-QSSA owns faster convergence speed than PSO, ABC, and SSA. Moreover, GO-QSSA is capable of computing more accurately than traditional algorithms. In addition, the simulation results show that compared with existing curve-fitting-based methods, the proposed expression decreases the fitting error by roughly one order of magnitude in most cases and even higher in some cases. Our approximation is proved to be simple and efficient.

scholarly journals A Modified Square Patch Antenna with Rhombus slot for High bandwidth

2019 ◽  
Vol 8 (9) ◽  
pp. 1580-1583
Keyword(s):  
Patch Antenna ◽  
Communication Systems ◽  
Return Loss ◽  
Impedance Matching ◽  
Antenna Design ◽  
Additional Increase ◽  
Quarter Wavelength ◽  
High Bandwidth ◽  
5G Communication ◽  
Geometrical Dimensions

In this the proposed patch antenna operates at 32 GHz which is among the projected 5G communication frequencies and has a novel geometry with rhombus-shaped slots. The first design in this work is a inset fed used conventionally in patch antenna. It has a quarter wavelength impedance matching line. The dimensions are determined according to the usual design considerations. Low return loss and high bandwidth requirements motivates us to modify the antenna design. Therefore, we add rhombus – shaped slots on the patch which leads to an additional increase in the system bandwidth as much as 52 MHz and a reduction in the return loss level up to 11.241 dB. The proposed patch antenna design is conjectured to be a suitable candidate to address the requirements of 5G communication systems. The operating frequency of the proposed antenna can be tuned by changing the geometrical dimensions from microwave to the THz region.

scholarly journals Challenges in On-Chip Antenna Design and Integration With RF Receiver Front-End Circuitry in Nanoscale CMOS for 5G Communication Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 43190-43204 ◽  
Author(s):  
Mahsa Keshavarz Hedayati ◽  
Abdolali Abdipour ◽  
Reza Sarraf Shirazi ◽  
Max J. Ammann ◽  
Matthias John ◽  
...  
Keyword(s):  
Communication Systems ◽  
Antenna Design ◽  
Rf Receiver ◽  
Nanoscale Cmos ◽  
Front End ◽  
On Chip Antenna ◽  
5G Communication ◽  
On Chip

Salp swarm optimization in hybrid beamforming for MIMO radar

2021 ◽  
pp. 469-480
Author(s):  
Vivek Kadam ◽  
Surendra Bhosale
Keyword(s):  
Mimo Systems ◽  
Minimum Variance ◽  
Mimo Radar ◽  
Adaptive Beamforming ◽  
Spatial Multiplexing ◽  
Practical Applications ◽  
Mimo Antenna ◽  
Salp Swarm Algorithm ◽  
Hybrid Beamforming ◽  
Swarm Algorithm

The Multi Input Multi Output (MIMO) radar waveform diversity Significantly improves parameter identifiably than phased-array radar performance. Precoding, combining and spatial multiplexing techniques improves the data throughput and reliability of the transmission in MIMO systems. But increment in transmit and receive elements in MIMO antenna array induces considerable increase in required power for hardware and computation cost. Hybrid beamforming employs fewer RF-to-baseband chains. With conscious selection of the weights for pre-coding and combining, hybrid beamforming establishes perfect trade-off between complexity, performance, cost, and power consumption in practical applications. Performance of MIMO radar system can be improved using newly developed bio inspired metaheuristic algorithms as compared to conventional and adaptive beamforming algorithms. In this work the Salp Swarm algorithm (SSA) is implemented to optimize the performance of hybrid beamforming using Raleigh channel and considering the bit error rate and normalized array power parameters. The swarming behavior of salps when navigating and foraging in oceans is the inspiration behind the SSA optimization algorithm. The obtained results are compared with the conventional phase-shift as well as adaptive linearly constrained minimum variance beamforming algorithms on simulation platform with standard considerations. It is observed that this new approach of Salp swarm algorithm is having improved and much better performance with the considered parameters.

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