Error models

Error models for the NR module. More...

Collaboration diagram for Error models:

Classes
class	ns3::LenaErrorModel
	LENA error model. More...
class	ns3::NrAmc
	Adaptive Modulation and Coding class for the NR module. More...
class	ns3::NrEesmCc
	The NrEesmCc class. More...
class	ns3::NrEesmCcT1
	The NrEesmCcT1 class. More...
class	ns3::NrEesmCcT2
	The NrEesmCcT2 class. More...
class	ns3::NrEesmErrorModel
	Eesm error model. More...
struct	ns3::NrEesmErrorModelOutput
	The NrEesmErrorModelOutput struct. More...
class	ns3::NrEesmIr
	Eesm error model, based on the IR HARQ. More...
class	ns3::NrEesmIrT1
	The NrEesmIrT1 class. More...
class	ns3::NrEesmIrT2
	The NrEesmIrT2 class. More...
struct	ns3::NrEesmT1
	The NrEesmT1 struct. More...
struct	ns3::NrEesmT2
	The NrEesmT2 struct. More...
class	ns3::NrErrorModel
	Interface for calculating the error probability for a transport block. More...
struct	ns3::NrErrorModelOutput
	Store the output of an NRErrorModel. More...
class	ns3::NrHarqPhy
	HARQ functionalities for the PHY layer. More...
class	ns3::NrLteMiErrorModel
struct	ns3::NrLteMiErrorModelOutput
	The NrLteMiErrorModelOutput struct Error model output returned by the class NrLteMiErrorModel. More...

Detailed Description

Error models for the NR module.

The error models are used for calculating the error probability after a packet is received (in the class NrSpectrumPhy) but also can be used for calculating the best MCS to use before a transmission (in the class NrAmc). Please take a look to the documentation of these classes if you wish to get more information about their operations.

The error model interface is defined in the class NrErrorModel. Each model should implement the pure virtual functions defined there, to be ready to work with the spectrum and the amc.

The main output of an error model is a subclass of NrErrorModelOutput. The spectrum will take care of creating a vector of all instances returned by the error model for the same transmission (e.g., after a retransmission of the original transmission), in order to create an "history" of the outputs returned by the model.

See also

NrErrorModel

NrErrorModelOutput