4 research outputs found
Design a MIMO printed dipole antenna for 5G sub-band applications
YesIn this paper, a planar multiple input, multiple output (MIMO) dipole antenna for a future sub-6 GHz 5G application is proposed. The planar MIMO structure consists of 4 antenna elements with an overall size of 150×82×1 mm3. The single antenna element is characterized by a size of 32.5×33.7×1 mm3 printed on an FR-4 dielectric substrate with εr=4.4 and tanδ=0.02. The suggested antenna structure exhibits good impedance bandwidth equal to 3.24 GHz starting from 3.3 to 6.6 GHz with an S11 value of less than -10 dB (S11≤-10 dB) with antenna gain varying from 5.2 up to
7.05 dB in the entire band, which covers all the sub-6 GHz frequency band
of the 5G application. Good isolation is achieved between the MIMO elements due to low surface waves inside the MIMO antenna substrate. The radiation of the MIMO antenna structure can be manipulated and many beam-types can be achieved as desired. The high-frequency structure simulator (HFSS) software package is used to design and simulate the proposed structure, while the CST MWS is used to validate the results
Recommended from our members
The Optimum Location for Access Point Deployment based on RSS for Indoor Communication
YesIn indoor wireless communication networks, the optimal locations had been known to deploy the access points (AP's)
which has a significant impact on improving various aspects of network operation, management, and coverage. In addition, develop
the behavioral characteristics of the wireless network. The most used approach for localization purposes was based on Received
Signal Strength (RSS) measurements, which is widely used in the wireless network. As well as, it can be easily accessed from
different operating systems. In this paper, we proposed an optimal AP localization algorithm based on RSS measurement obtained
from different received points. This localization algorithm works as a complementary to the 3D Ray tracing model based
REMCOM wireless InSite software and considered two-step localization approach, data collection phase, and localization phase.
Obtained result give relatively high accuracy to select the optimum location for AP compare with other selected locations. It is
worth to mention that effect of different building materials on signal propagation has been considered with specifying the optimum
location of deployment. Furthermore, channel characterizations that based on path losses have been considered as a confirmation
for the optimum location being selected