NS-3 based Named Data Networking (NDN) simulator
ndnSIM 2.5: NDN, CCN, CCNx, content centric networks 		API Documentation
ns3::TraceFadingLossModel Class Reference

#include <introspected-doxygen.hpp>

Detailed Description

Introspection did not find any typical Config paths.

Attributes

  • TraceFilename: Name of file to load a trace from.
    • Set with class: StringValue
    • Underlying type:
    • Initial value:
    • Flags: construct write
  • TraceLength: The total length of the fading trace (default value 10 s.)
    • Set with class: ns3::TimeValue
    • Underlying type: Time -9.22337e+18ns:+9.22337e+18ns
    • Initial value: +1e+10ns
    • Flags: construct write
  • SamplesNum: The number of samples the trace is made of (default 10000)
    • Set with class: ns3::UintegerValue
    • Underlying type: uint32_t 0:4294967295
    • Initial value: 10000
    • Flags: construct write read
  • WindowSize: The size of the window for the fading trace (default value 0.5 s.)
    • Set with class: ns3::TimeValue
    • Underlying type: Time -9.22337e+18ns:+9.22337e+18ns
    • Initial value: +5e+08ns
    • Flags: construct write read
  • RbNum: The number of RB the trace is made of (default 100)
    • Set with class: ns3::UintegerValue
    • Underlying type: uint8_t 0:255
    • Initial value: 100
    • Flags: construct write read
  • RngStreamSetSize: The number of RNG streams reserved for the fading model. The maximum number of streams that are needed for an LTE FDD scenario is 2 * numUEs * numeNBs.
    • Set with class: ns3::UintegerValue
    • Underlying type: uint64_t 0:18446744073709551615
    • Initial value: 200000
    • Flags: construct write read

No TraceSources are defined for this type.
Size of this type is 272 bytes (on a 64-bit architecture).

The documentation for this class was generated from the following file: