A Multiband Multiple-input Multiple-output Antenna System for Long Term Evolution and Wireless Local Area Networks Handsets

2016 ◽  
Vol 29 (8) ◽  
Keyword(s):  
Multiple Input Multiple Output ◽  
Local Area Networks ◽  
Local Area ◽  
Long Term Evolution ◽  
Antenna System ◽  
Wireless Local Area Networks ◽  
Term Evolution ◽  
Multiple Input ◽  
Input Multiple Output

Link-Level Simulator for Wireless local Area Network

2018 ◽  
Vol 6 (7) ◽  
pp. 314
Author(s):  
Chaithra. H. U ◽  
Vani H.R
Keyword(s):  
Wireless Local Area Network ◽  
Local Area Network ◽  
Local Area Networks ◽  
Local Area ◽  
Long Term Evolution ◽  
Wireless Local Area Networks ◽  
Area Network ◽  
Network Simulator ◽  
Term Evolution

Now a days in Wireless Local Area Networks (WLANs) used in different fields because its well-suited simulator and higher flexibility. The concept of WLAN  with  advanced 5th Generation technologies, related to a Internet-of-Thing (IOT). In this project, representing the Network Simulator (NS-2) used linked-level simulators for Wireless Local Area Networks and still utilized IEEE 802.11g/n/ac with advanced IEEE 802.11ah/af technology. Realization of the whole Wireless Local Area Networking linked-level simulators inspired by the recognized Vienna Long Term Evolution- simulators. As a outcome, this is achieved to link together that simulator to detailed performances of Wireless Local Area Networking with Long Term Evolution, operated in the similar RF bands. From the advanced 5th Generation support cellular networking, such explore is main because different coexistences scenario can arise linking wireless communicating system to the ISM and UHF bands.

scholarly journals ARREGLO DE ANTENAS CON BAJO ACOPLAMIENTO MUTUO PARA SISTEMAS DE COMUNICACIONES INALÁMBRICAS MIMO-LTE

2017 ◽  
Vol 1 (27) ◽  
Author(s):  
Eduardo Rodríguez Araque ◽  
Roberto G. Rojas-Teran
Keyword(s):  
Printed Circuit Board ◽  
Multiple Input Multiple Output ◽  
Long Term Evolution ◽  
Circuit Board ◽  
Printed Circuit ◽  
Term Evolution ◽  
Multiple Input ◽  
Input Multiple Output

Este trabajo trata de un arreglo de antenas MIMO (multiple-input-multiple-output) que opera en la banda de 2.6 GHz, una banda de Long Term Evolution (LTE), para sistemas de comunicaciones móviles inalámbricas 4G. El arreglo de antenas consiste de 4 antenas compactas tipo patch sobre un substrato dieléctrico (PCB) de 125 mm x 62.5 mm x 1.27 mm. Modificaciones del plano de tierra (GND) junto con la ubicación sistemática y orientación de cada antena en la cara posterior al plano de tierra del PCB (Printed Circuit Board) juegan un rol muy importante en la reducción sustancial del acoplamiento mutuo, esto generalmente afecta el desempeño de los arreglos MIMO.Palabras clave: Arreglo de antenas, modos característicos, correlación espacial, multiple-input-multiple-output (MIMO), acoplamiento mutuo.

scholarly journals Artificial Intelligence Based LTE MIMO Antenna for 5th Generation Mobile Networks

2020 ◽  
Vol 2 (3) ◽  
pp. 155-162
Author(s):  
Dr. Abul Bashar
Keyword(s):  
Artificial Intelligence ◽  
Mobile Networks ◽  
Multiple Input Multiple Output ◽  
Long Term Evolution ◽  
Base Station ◽  
Fifth Generation ◽  
Term Evolution ◽  
Multiple Input ◽  
Input Multiple Output

Artificial intelligence based long term evolution multi in multi output antenna supporting the fifth generation mobile networks is put forth in the paper. The mechanism laid out in paper is devised using the monopole-antenna integrated with the switchable pattern. The long term evolution based multiple input and multiple output antenna is equipped with four antennas and capable of providing a four concurrent data streams quadrupling the theoretical maximum speed of data transfer allowing the base station to convey four diverse signals through four diverse transmit antennas for a single user equipment. The utilization of the long term evolution multiple input multiple output is capable of utilizing the multi-trial broadcasting to offer betterments in the signal performance as well as throughput and spectral efficiency when used along the fifth generation mobile networks. So the paper proposes the artificial intelligence based long term evolution multiple input multiple output four transmit antenna with four diverse signal transmission capacity that is operating in the frequency of 3.501 Gigahertz frequency. The laid out design is evaluated using the Multi-input Multi output signal analyzer to acquire the capacity of the passive conveyance of the various antennas with the diverse combination of patterns. The outcomes observed enables the artificial intelligence antenna to identify the choicest antenna to be integrated in the diverse environments for improving the throughput, signal performance and the data conveyance speed.

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