Selected subcarriers QPSK-OFDM transmission schemes to combat frequency disturbances

Papilaya, Victor N.; Shongwe, Thokozani; Vinck, A. J. Han; Ferreira, H.C.

doi:10.1109/isplc.2012.6201327

Cited by 20 publications

(17 citation statements)

References 7 publications

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“…The generator matrix for the SBC is The effect of the periodic impulsive noise on ODFM is similar to the effect of narrow-band interference on OFDM. Hence we can use the same analysis in [15] to give the bound on the decoding error probability of the short block code. For high SNR, where the dominant noise is the periodic impulsive noise we can estimate the decoding error probability of the short block code as…”

Section: Simulation Results and Discussion Of Resultsmentioning

confidence: 99%

The effects of periodic impulsive noise on OFDM

Shongwe

Vinck²,

Ferreira

2015

2015 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)

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The effect of periodic impulsive (short duration) noise on OFDM is investigated. We present results on the nature of periodic impulsive noise, showing that the PDF of periodic impulsive noise is not exactly Gaussian. We also present results showing that periodic impulsive noise can be more devastating to OFDM compared to random impulsive noise. This is because periodic impulsive noise energy is not spread by the FFT on the receiver side of the OFDM, instead it appears periodic in the frequency domain. Results showing the effect of nulling to mitigate periodic impulsive noise are presented. We suggest a simple short block code (as opposed to long block codes) that can effectively combat the effects of periodic impulsive noise.

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Section: Simulation Results and Discussion Of Resultsmentioning

confidence: 99%

The effects of periodic impulsive noise on OFDM

Shongwe

Vinck²,

Ferreira

2015

2015 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)

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“…For example, in [5] we generated each NBI sample n N as a complex random value using the function R g , such that the sample was √χ R g + j √χ R g . As such, the NBI generated in [5] can be viewed as a random phasor that can rotate in any direction, with the real and imaginary components each having a magnitude determined by R g and √χ . Fig.…”

Section: How the Nbi Model Is Appliedmentioning

confidence: 99%

“…Of these three noise types, the narrow-band interference has not been given much attention and as a result it lacks a well defined model. We find some good efforts in describing or modelling narrow-band interference in [1]- [5]. Galda and Rohling [1] gave a brief NBI model description, where the bandwidth of the interfering signal was considered to be small compared to the OFDM subcarrier spacing, hence the interfering signal could be modelled as a single-tone.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, not much statistical detail of the models was given. The contribution of this article is therefore to give a detailed and well-defined narrow-band interference model applicable to an OFDM system, which is an extension of our previous NBI model in [5]. We will focus to the OFDM system when used in the powerline communications (PLC) channel.…”

Section: Introductionmentioning

confidence: 99%

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Narrow-band interference model for OFDM systems for powerline communications

Shongwe

Papilaya

Vinck

2013

2013 IEEE 17th International Symposium on Power Line Communications and Its Applications

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A narrow-band interference (NBI) model for the powerline communications channel is presented. We give frequency domain details and analysis of the NBI model specifically for OFDM systems; it can easily be adapted to model NBI for other communications systems. We also show that by making the same assumptions as in the Middleton class A model, our NBI model becomes the Middleton Class A noise model.

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“…Shum [5] demonstrated that permutation coding exploits the inherent frequency diversity in MFSK to provide robustness in frequency selective fading channels. Papilaya et al [6] also presented a coded modulation scheme for OFDM transmission, where permutation codes were proposed as an alternative to convolutional codes when communicating over a PLC channel with frequency disturbances and frequency selective fading.…”

Section: Introductionmentioning

confidence: 99%

Multiple access with distance preserving mappings for permutation codes

2013

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We present results for Distance Preserving Mappings (DPMs) for permutation codes that can be used for multiple access communication even under frequency jamming. We give examples of multiple codebooks that are DPMs such that each DPM can be assigned to a user for communication over a multiple access channel. We only consider one type of DPM called Distance Increasing Mappings (DIMs). The multiple access channel of interest is Time Division Multiple Access (TDMA). We show that it is possible to give a construction for DIMs that can be uniquely decoded even in the presence of frequency jamming. The DPMs are permutation codes found by mapping binary sequences to permutation sequences. The permutation codes have codewords of length M with symbols taken from an alphabet whose cardinality is M , where M is any integer. Each symbol may be seen as representing one out of the M frequencies in an M -ary Frequency Shift keying modulation scheme, for example.

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Selected subcarriers QPSK-OFDM transmission schemes to combat frequency disturbances

Cited by 20 publications

References 7 publications

The effects of periodic impulsive noise on OFDM

The effects of periodic impulsive noise on OFDM

Narrow-band interference model for OFDM systems for powerline communications

Multiple access with distance preserving mappings for permutation codes

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