A New Beamforming Approach Using 60 GHz Antenna Arrays for Multi-Beams 5G Applications

Electronics

Yasser Zahedi¹  Raed A. Abd-Alhameed¹  Ahmad Aldelemy²  Naser Ojaroudi Parchin³  Mohammed A. G. Al-Sadoon⁴  Mohammad N. Patwary⁴ 

[1] Department of Information and Communication Engineering, Basrah University College of Science and Technology, Basra 61004, Iraq;School of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK;School of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh EH11 4BN, UK;School of Mathematics and Computer Science, Faculty of Science and Engineering, University of Wolverhampton, Wulfruna St, Wolverhampton WV1 1LY, UK;

关键词: 5G;    antenna arrays;    beamforming;    circular patch antenna;    massive MIMO;    multi beams;   

DOI  :  10.3390/electronics11111739

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown