Abstract
With rapidly growing bandwidth demands in Local Area Networks, it is imperative to support next generation speeds beyond 40 Gbit/s. Various holographic optimization techniques using spatial light modulators have recently been explored for adaptive channel impulse response improvement of MMF links. Most of these experiments are algorithmic-oriented. In this paper, a set of lenses and a spatial light modulator, acting as a binary amplitude filter, played the pivotal role in generating the input modal electric field into a graded-index MMF, rather than algorithms. By using a priori theoretical information to generate the incident modal electric field at the MMF, the bandwidth was increased by up to 3.4 times.
Highlights
Multimode fiber (MMF) is the established medium of choice in local area network (LAN) backbones [1]
It has been recently demonstrated that the channel impulse response or bandwidth of the MMF link was improved by means of holographic optimization using an spatial light modulator (SLM) [21,22]
It was found that 14 to 20 iterations were required. This agrees with the results in [22] for another holographic selective mode excitation setup where no a priori information was injected into the system during the optimization process
Summary
Multimode fiber (MMF) is the established medium of choice in local area network (LAN) backbones [1]. It has been recently demonstrated that the channel impulse response or bandwidth of the MMF link was improved by means of holographic optimization using an SLM [21,22]. As in [27], lenses played the pivotal role in generating the input modal electric field into a graded-index MMF, rather than algorithms. It is shown that using the proposed technique for mode-selective launch, the bandwidth was increased by more than 3 times. This agrees with the results achieved in [27] using a binary phase filter. Apart from offering a new experimental approach for mode-selective launching, this work examines the modal decomposition of the received signal at the output of a graded-index MMF.
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