Spatial multiplexing

Multi-core fibres are fibres designed with more than a single core. Amongst different types of MCFs exist, “Uncoupled MCF” is the most common in which each core is treated to be an independent optical path resulting in increasing in channel capacity. However, the main limitation to these systems is the presence of inter core crosstalk and ways to deal it as well as the coupling/de-coupling mechanism. Although, in recent times, different splicing techniques, coupling methods and schemes have been proposed and demonstrated and despite many of the component technologies still being in the development stage, MCF systems already present the capability for huge transmission capacity.[1]
Recently, some developed components technologies for multicore optical fiber are demonstrated, such as three-dimensional Y-splitters between different multicore fibers,[2] a universal interconnection among the same fiber cores,[3] and a device for fast swapping and interchange of wavelength-division multiplexed data among cores of multicore optical fiber.[4]

Multi-mode fibers are fibres designed to allow multiple modes to propagate through it where each mode is considered as separate channel enhancing its capacity in contrast to single mode fibre (SMF) that only supports single spatial mode, however MMF has two polarizations.[5] The MMFs are limited by high dispersion and attenuation rate causing the signal quality to be diminished over long distances. In addition to this, the MMFs also suffer from intermodal crosstalk and requires digital signal processing to deal with it.

Mode-division multiplexing utilizes the transverse spatial modes of the fibre to separate the channels.Mode-division multiplexing (MDM) can be achieved by multiplexing several data inputs into different modes efficiently using multiplexers. There are numerous methods of multiplexing and coupling modes into few mode fibres (FMFs), like photonic lanterns, multi-plane light conversion, and others.

Bundled fibres are also considered a form of SDM, these are massive number of fibres bundled tightly together.

In an open-loop MIMO system with ${\displaystyle N_{t}}$ transmitter antennas and ${\displaystyle N_{r}}$ receiver antennas, the input-output relationship can be described as

${\displaystyle \mathbf {y} =\mathbf {Hx} +\mathbf {n} }$

where ${\displaystyle \mathbf {x} =[x_{1},x_{2},\ldots ,x_{N_{t}}]^{T}}$ is the ${\displaystyle N_{t}\times 1}$ vector of transmitted symbols, ${\displaystyle \mathbf {y,n} }$ are the ${\displaystyle N_{r}\times 1}$ vectors of received symbols and noise respectively and ${\displaystyle \mathbf {H} }$ is the ${\displaystyle N_{r}\times N_{t}}$ matrix of channel coefficients. An often encountered problem in open loop spatial multiplexing is to guard against instance of high channel correlation and strong power imbalances between the multiple streams. One such extension which is being considered for DVB-NGH systems is the so-called enhanced Spatial Multiplexing (eSM) scheme.

A closed-loop MIMO system utilizes Channel State Information (CSI) at the transmitter. In most cases, only partial CSI is available at the transmitter because of the limitations of the feedback channel. In a closed-loop MIMO system the input-output relationship with a closed-loop approach can be described as

${\displaystyle \mathbf {y} =\mathbf {HWs} +\mathbf {n} }$

where ${\displaystyle \mathbf {s} =[s_{1},s_{2},\ldots ,s_{N_{s}}]^{T}}$ is the ${\displaystyle N_{s}\times 1}$ vector of transmitted symbols, ${\displaystyle \mathbf {y,n} }$ are the ${\displaystyle N_{r}\times 1}$ vectors of received symbols and noise respectively, ${\displaystyle \mathbf {H} }$ is the ${\displaystyle N_{r}\times N_{t}}$ matrix of channel coefficients and ${\displaystyle \mathbf {W} }$ is the ${\displaystyle N_{t}\times N_{s}}$ linear precoding matrix.

A precoding matrix ${\displaystyle \mathbf {W} }$ is used to precode the symbols in the vector to enhance the performance. The column dimension ${\displaystyle N_{s}}$ of ${\displaystyle \mathbf {W} }$ can be selected smaller than ${\displaystyle N_{t}}$ which is useful if the system requires ${\displaystyle N_{s}(\neq N_{t})}$ streams because of several reasons. Examples of the reasons are as follows: either the rank of the MIMO channel or the number of receiver antennas is smaller than the number of transmit antennas.