volume | PIER Journals

Abstract

This paper presents amplitude-only control beamforming approaches within advanced linear antenna systems (ALASs) for sixth generation (6G) technology. The principle of these approaches is training the radiation pattern alongside the weight set derived from two types of the linearly constrained minimum variance (LCMV) optimization problem, which are the single null (SN-LCMV) and broad null (BN-LCMV), using deep learning (DL). Thus, they called SN-DL and BN-DL, respectively. The BN-DL effectively establishes broad null, with the median magnitude at null being −37.44 dB. The computation time is notably reduced, attaining a speed that is 8.26 times faster than the BN-LCMV, 6.95 times faster than the SN-LCMV, and 1.11 times faster than the SN-DL. Over 1000 simulations, the BN-DL demonstrates the highest stability, achieving a peak density value of 10.17%, in comparison to the 3.09% recorded in SN-LCMV, 6.74% in BN-LCMV, and 6.94% in SN-DL, respectively.

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Dr. Tong Van Luyen

Mr. Huy Hoang Nguyen