Variable cross-correlation code construction for spectral amplitude coding optical CDMA networks

Fadhil, Hilal A.; Aljunid, S. A.; Ahmed, Hassan Yousif; Al-Khafaji, Hamza M. R.

doi:10.1016/j.ijleo.2011.07.011

Cited by 9 publications

(10 citation statements)

References 8 publications

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“…At 2.5 Gbps also both the proposed codes show similar performance except when the fiber length varies from 15 to 30 km. However, for both the cases the proposed MRDC and MNZCC codes exhibit better performance compared to the variable cross-correlation code at both 622 Mbps and 2.5 Gbps [16]. This experiment clearly indicates that both the proposed MNZCC and MRDC codes are suitable for a fiber distance of 40-45 km while maintaining the threshold value of BER.…”

Section: Simulation and Observationmentioning

confidence: 71%

“…The power spectral density (PSD) of the received optical signal is expressed in Eq. (4) as below [1,[14][15][16].…”

Section: System Performance Analysis (Gaussian Approximation)mentioning

confidence: 99%

“…8 A simulation circuit for three users [11] The probability of error (P e ) or the BER is estimated using Gaussian approximation as described in Eq. (15) as below [1,[14][15][16].…”

Section: System Performance Analysis (Gaussian Approximation)mentioning

confidence: 99%

“…For example, the BER for a particular code, say the proposed MNZCC code at a distance of 40 km at 622 Mbps, is less compared to that of BER for the same MNZCC code at a distance of 40 km at Fig. 13 Comparison of the proposed MRDC and MNZCC codes with variable cross-correlation code in terms of BER (log) versus fiber length (km) for different data rates [16] 2.5 Gbps. Data rate and BER are inversely proportional to each other.…”

Section: Simulation and Observationmentioning

confidence: 99%

“…This experiment clearly indicates that both the proposed MNZCC and MRDC codes are suitable for a fiber distance of 40-45 km while maintaining the threshold value of BER. On other hand, the variable cross-correlation code is suitable only for 25-30 km [16]. Figure 14 represents the eye diagram of the proposed MNZCC code at 622 Mbps while keeping the fiber length fixed at 40 km and the number of active users are kept fixed at ten.…”

Section: Simulation and Observationmentioning

confidence: 99%

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Comparison of novel coding techniques for a fixed wavelength hopping SAC-OCDMA

Bhanja

Panda

2016

Photon Netw Commun

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The optical code division multiple access (OC-DMA), the most advanced multiple access technology in optical communication has become significant and gaining popularity because of its asynchronous access capability, faster speed, efficiency, security and unlimited bandwidth. Many codes are developed in spectral amplitude coding optical code division multiple access (SAC-OCDMA) with zero or minimum cross-correlation properties to reduce the multiple access interference (MAI) and Phase Induced Intensity Noise (PIIN). This paper compares two novel SAC-OCDMA codes in terms of their performances such as bit error rate (BER), number of active users that is accommodated with minimum cross-correlation property, high data rate that is achievable and the minimum power that the OCDMA system supports to achieve a minimum BER value. One of the proposed novel codes referred in this work as modified random diagonal code (MRDC) possesses cross-correlation between zero to one and the second novel code referred in this work as modified new zero cross-correlation code (MNZCC) possesses cross-correlation zero to further minimize the multiple access interference, which are found to be more scalable compared to the other existing SAC-OCDMA codes. In this work, the proposed MRDC and MNZCC codes are implemented in an optical system using the optisystem version-12 software for the SAC-OCDMA scheme. Simulation results depict that the OCDMA system based on the proposed novel MNZCC code exhibits better performance compared to the MRDC code and former existing SAC-OCDMA codes. The proposed MNZCC code accommodates maximum number of simultaneous users with higher data rate transmission,

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Section: Simulation and Observationmentioning

confidence: 71%

“…The power spectral density (PSD) of the received optical signal is expressed in Eq. (4) as below [1,[14][15][16].…”

Section: System Performance Analysis (Gaussian Approximation)mentioning

confidence: 99%

“…8 A simulation circuit for three users [11] The probability of error (P e ) or the BER is estimated using Gaussian approximation as described in Eq. (15) as below [1,[14][15][16].…”

Section: System Performance Analysis (Gaussian Approximation)mentioning

confidence: 99%

Section: Simulation and Observationmentioning

confidence: 99%

Section: Simulation and Observationmentioning

confidence: 99%

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