Yes / Recent studies and research have centred on new solutions in different elements and stages
to the increasing energy and data rate demands for the fifth generation and beyond (B5G). Based on
a new-efficient digital beamforming approach for 5G wireless communication networks, this work
offers a compact-size circular patch antenna operating at 60 GHz and covering a 4 GHz spectrum
bandwidth. Massive Multiple Input Multiple Output (M–MIMO) and beamforming technology
build and simulate an active multiple beams antenna system. Thirty-two linear and sixty-four
planar antenna array configurations are modelled and constructed to work as base stations for 5G
mobile communication networks. Furthermore, a new beamforming approach called Projection
Noise Correlation Matrix (PNCM) is presented to compute and optimise the fed weights of the array
elements. The key idea of the PNCM method is to sample a portion of the measured noise correlation
matrix uniformly in order to provide the best representation of the entire measured matrix. The
sampled data will then be utilised to build a projected matrix using the pseudoinverse approach in
order to determine the best fit solution for a system and prevent any potential singularities caused
by the matrix inversion process. The PNCM is a low-complexity method since it avoids eigenvalue
decomposition and computing the entire matrix inversion procedure and does not require including
signal and interference correlation matrices in the weight optimisation process. The suggested
approach is compared to three standard beamforming methods based on an intensive Monte Carlo
simulation to demonstrate its advantage. The experiment results reveal that the proposed method
delivers the best Signal to Interference Ratio (SIR) augmentation among the compared beamformers
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/18992 |
| Date | 26 May 2022 |
| Creators | Al-Sadoon, M.A.G., Patwary, M.N., Zahedi, Y., Ojaroudi Parchin, Naser, Aldelemy, Ahmad, Abd-Alhameed, Raed |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Published version |
| Rights | (c) 2022 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/), CC-BY |
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