Spatial multiplexing

Spatial multiplexing

2xSMX or STC+2xMRC

Spatial multiplexing or space-division multiplexing (SM, SDM or SMX) is a multiplexing technique in MIMO wireless communication, fiber-optic communication and other communications technologies used to transmit independent channels separated in space.

Fiber-optic communication

In fiber-optic communication SDM refers to the usage of the transverse dimension of the fiber to separate the channels.

Techniques

Multi-core fiber (MCF)

Multi-core fibers are designed with more than a single core. Different types of MCFs exist, of which “Uncoupled MCF” is the most common, in which each core is treated as an independent optical path. The main limitation of these systems is the presence of inter-core crosstalk. In recent times, different splicing techniques, and coupling methods 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 component technologies for multicore optical fiber have been 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 (MMF) and Few-mode fibers (FMF)

Multi-mode fibers have a larger core that allows the propagation of multiple cylindrical transverse modes (Also referred as linearly polarized modes), in contrast to a single mode fiber (SMF) that only supports the fundamental mode. Each transverse mode is spatially orthogonal, and allows for the propagation in both orthogonal polarization.

Typical MMF are currently not viable for SDM, as the high mode count results in unmanageable levels of modal coupling and dispersion. The utilization of few-mode fibers, which are MMFs with a core size designed specially to allow a low count of spatial modes, is currently under consideration.

Due to physical imperfections, the modes exchange power and are experience different effective refractive indexes as they propagate through the fiber. ^[5] The power exchange results in modal coupling, and this effect is known to reduce the achievable capacity of the fiber, ^[6] if the modes experience unequal gain or attenuation. Therefore, if not compensated, the capacity increase is not linear to the mode count. The effective refractive index difference results in inter-symbolic interference, resulting from delay spread. ^[7]

Mode multiplexers consist of photonic lanterns, multi-plane light conversion, and others.

Fiber bundles

Bundled fibers are also considered a form of SDM.

Wireless communications

If the transmitter is equipped with ${\displaystyle N_{t}}$ antennas and the receiver has ${\displaystyle N_{r}}$ antennas, the maximum spatial multiplexing order (the number of streams) is,

${\displaystyle N_{s}=\min(N_{t},N_{r})\!}$

if a linear receiver is used. This means that ${\displaystyle N_{s}}$ streams can be transmitted in parallel, ideally leading to an ${\displaystyle N_{s}}$ increase of the spectral efficiency (the number of bits per second per Hz that can be transmitted over the wireless channel). The practical multiplexing gain can be limited by spatial correlation, which means that some of the parallel streams may have very weak channel gains.

Encoding

Open-loop approach

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.

Closed-loop approach

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.

See also

• 3G MIMO
• Space–time code
• Space–time trellis code
• WiMAX MIMO
• Fiber-optic communication
• Multiplexing

References

1. "Multicore Fiber - an overview | ScienceDirect Topics". www.sciencedirect.com. Retrieved 2022-08-22.
2. Awad, Ehab (September 2015). "Multicore optical fiber Y-Splitter". Optics Express. 23 (20): 25661–25674. Bibcode:2015OExpr..2325661A. doi: 10.1364/OE.23.025661 . PMID   26480082.
3. Awad, Ehab (January 2018). "Confined optical beam-bending for direct connection among cores of different multi-core fibers". Optical and Quantum Electronics. 50 (2): 69. Bibcode:2018OptQE..50...69A. doi:10.1007/s11082-018-1344-0. S2CID   254897867.
4. Awad, Ehab (December 2015). "Data interchange across cores of multi-core optical fibers". Optical Fiber Technology. 26: 157. doi:10.1016/j.yofte.2015.10.003.
5. Ho, Keang-Po; Kahn, Joseph M. (2011). "Mode-Dependent Loss and Gain: Statistics and Effect on Mode-Division Multiplexing". arXiv. 2011.
6. Mello, Darli A. A.; Srinivas, Hrishikesh; Choutagunta, Karthik; Kahn, Joseph M. (2020-01-15). "Impact of Polarization- and Mode-Dependent Gain on the Capacity of Ultra-Long-Haul Systems". Journal of Lightwave Technology. 38 (2): 303–318. doi:10.1109/JLT.2019.2957110.
7. "Optica Publishing Group". opg.optica.org. Retrieved 2024-05-05.