Abstract

We report feedback-assisted adaptive multicasting from a single Gaussian mode to multiple orbital angular momentum (OAM) modes using a single phase-only spatial light modulator loaded with a complex phase pattern. By designing and optimizing the complex phase pattern through the adaptive correction of feedback coefficients, the power of each multicast OAM channel can be arbitrarily controlled. We experimentally demonstrate power-controllable multicasting from a single Gaussian mode to two and six OAM modes with different target power distributions. Equalized power multicasting, “up-down” power multicasting and “ladder” power multicasting are realized in the experiment. The difference between measured power distributions and target power distributions is assessed to be less than 1 dB. Moreover, we demonstrate data-carrying OAM multicasting by employing orthogonal frequency-division multiplexing 64-ary quadrature amplitude modulation (OFDM 64-QAM) signal. The measured bit-error rate curves and observed optical signal-to-noise ratio penalties show favorable operation performance of the proposed adaptive power-controllable OAM multicasting.

Highlights

  • Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China

  • We report feedback-assisted adaptive multicasting from a single Gaussian mode to multiple orbital angular momentum (OAM) modes using a single phase-only spatial light modulator loaded with a complex phase pattern

  • An input Gaussian mode (l~0) passes through a multi-OAM phase pattern generating collinearly superimposed multiple OAM modes with the power of each OAM mode determined by the phase pattern

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Summary

Introduction

Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China. The measured back-conversion (from OAM mode to Gaussian-like mode) power distribution of the multicast OAM channels somehow deviates from the theoretical assumption. This is because different OAM modes feature different back-conversion spot sizes. One would expect to flexibly control the power of each multicast channel considering the fact that different users (different channels) may require different power in practical applications In this scenario, a laudable goal would be to develop a simple and scalable approach to adaptively and arbitrarily control the power of each multicast OAM channel, which has not yet been reported so far

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