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Smart Antennas for Next Generation Mobile Communication

Veerendra Dakulagi*, MD. Bakhar**

* Research Scholar, Department of Electronics and Communication Engineering, Viswesavaraya Technological University, Guru Nanak Dev Engineering College, Bidar, Karnataka, India.

** Professor, Department of Electronics and Communication Engineering, Viswesavaraya Technological University, Guru Nanak Dev Engineering College, Bidar, Karnataka, India.

Periodicity:July - September'2016
DOI : https://doi.org/10.26634/jdp.4.3.8142

Abstract

In this paper, the authors analyzed the performances of well known array signal processing algorithms for adaptive beam forming namely, Sample Matrix Inversion (SMI), and Least Mean Square (LMS) algorithms. From the simulation results, it is observed that, for SMI as the number of user increases, the main lobe spreads in all the directions. As a result of this, beam forming in the user direction may not be accurate. To overcome this problem, LMS algorithm can be used. The LMS algorithm is a best choice in most of the commercial wireless applications due to its low complexity. 5G and beyond 5G networks require beam forming algorithms with high directivity and fast converengence rate. Hence, in this work, they have modified the LMS algorithm to improve the converengence rate and then they applied improved LMS algorithms to horizontal-vertical Uniform Linear Array (ULA). This is also called as two dimensional ULA (2D-ULA). Hence these algorithms are called as 2D-LMS1 and 2D-LMS2. Simulation results show that the proposed algorithms have improved convergence rate, directivity as compared to conventional LMS algorithm. Hence these algorithms are best suited for 5G and beyond mobile communications.

Keywords

5G, LMS, Mobile Communication, Smart Antenna, ULA.

How to Cite this Article?

Veerendra., and MD. Bakhar. (2016). Smart Antennas for Next Generation Mobile Communication. i-manager’s Journal on Digital Signal Processing, 4(3), 6-11. https://doi.org/10.26634/jdp.4.3.8142

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