pre6GLayerDemap

R2026b

Pre-6G layer demapping

Since R2026b

Syntax

demapped = pre6GLayerDemap(sym)

Description

Add-On Required: This feature requires the 6G Exploration Library for 5G Toolbox add-on.

demapped = pre6GLayerDemap(sym) demaps layer-mapped symbols back to a single stream for 6G research and prototyping. The function reverses the layer mapping performed by pre6GLayerMap.

Examples

Demap Pre-6G Symbols from Layers

Create a physical channel configuration object with four layers and map symbols to layers. Use a batch size of three.

ch = pre6GPhysicalChannelConfig(Modulation="QPSK",NumLayers=4);
txsym = complex(randn(240,3),randn(240,3));
sym = pre6GLayerMap(ch,txsym);

Demap the layer-mapped symbols back to a single stream. Verify that demapping recovers the original stream.

demapped = pre6GLayerDemap(sym);
isequal(demapped,txsym)

ans = logical
   1

Input Arguments

sym — Layer-mapped symbols

complex 3-D array | dlarray object

Layer-mapped symbols, specified as a complex 3-D array of size M-by-ν-by-B or a dlarray object. M is the number of symbols per layer, ν is the number of layers, and B is the batch size.

Data Types: single | double
Complex Number Support: Yes

Output Arguments

demapped — Demapped symbols

complex matrix | dlarray object

Demapped symbols, returned as a numeric matrix of size (M × ν)-by-B, or, if sym is a dlarray, as a dlarray object. M is the number of symbols per layer, ν is the number of layers, and B is the batch size. The output inherits the data type from the input sym.

Data Types: single | double
Complex Number Support: Yes

More About

dlarray Support

The pre6GLayerDemap object supports an input signal represented in a dlarray (Deep Learning Toolbox). When you specify the input sym as a dlarray object, the function returns the output demapped as a dlarray object.

Extended Capabilities

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

The pre6GLayerDemap function fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray (Parallel Computing Toolbox). For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

Version History

Introduced in R2026b