A Discrete-Event Network Simulator
API
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lr-wpan-error-model.h
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1/*
2 * Copyright (c) 2011 The Boeing Company
3 *
4 * This program is free software; you can redistribute it and/or modify
5 * it under the terms of the GNU General Public License version 2 as
6 * published by the Free Software Foundation;
7 *
8 * This program is distributed in the hope that it will be useful,
9 * but WITHOUT ANY WARRANTY; without even the implied warranty of
10 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
11 * GNU General Public License for more details.
12 *
13 * You should have received a copy of the GNU General Public License
14 * along with this program; if not, write to the Free Software
15 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
16 *
17 * Author: Gary Pei <guangyu.pei@boeing.com>
18 */
19#ifndef LR_WPAN_ERROR_MODEL_H
20#define LR_WPAN_ERROR_MODEL_H
21
22#include <ns3/object.h>
23
24namespace ns3
25{
26namespace lrwpan
27{
28
29/**
30 * \ingroup lr-wpan
31 *
32 * Model the error rate for IEEE 802.15.4 2.4 GHz AWGN channel for OQPSK
33 * the model description can be found in IEEE Std 802.15.4-2006, section
34 * E.4.1.7
35 */
37{
38 public:
39 /**
40 * Get the type ID.
41 *
42 * \return the object TypeId
43 */
44 static TypeId GetTypeId();
45
47
48 /**
49 * Return chunk success rate for given SNR.
50 *
51 * \return success rate (i.e. 1 - chunk error rate)
52 * \param snr SNR expressed as a power ratio (i.e. not in dB)
53 * \param nbits number of bits in the chunk
54 */
55 double GetChunkSuccessRate(double snr, uint32_t nbits) const;
56
57 private:
58 /**
59 * Array of precalculated binomial coefficients.
60 */
62};
63} // namespace lrwpan
64} // namespace ns3
65
66#endif /* LR_WPAN_ERROR_MODEL_H */
A base class which provides memory management and object aggregation.
Definition: object.h:89
a unique identifier for an interface.
Definition: type-id.h:59
Model the error rate for IEEE 802.15.4 2.4 GHz AWGN channel for OQPSK the model description can be fo...
double m_binomialCoefficients[17]
Array of precalculated binomial coefficients.
static TypeId GetTypeId()
Get the type ID.
double GetChunkSuccessRate(double snr, uint32_t nbits) const
Return chunk success rate for given SNR.
Every class exported by the ns3 library is enclosed in the ns3 namespace.