Evaluation of FSO and FTTH technologies using techno‐economic and risk analysis

Rokkas, Theodoros; Katsianis, Dimitris; Kamalakis, Thomas; Varoutas, Dimitris; Sphicopoulos, T.

doi:10.1108/14636690910955006

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Investment potential and risk analysis of FTTH deployment is considered and compared with FSO by Rokkas et al (2014). The tariffs, broadband penetration, price of FSO components and network operation cost where identified as parameters with the greatest impact to the project.…”

Section: Review Of Monte Carlo Simulation Application In Optical Netwmentioning

confidence: 99%

Estimation of Optical Access Network Bandwidth Demand Using Monte Carlo Simulation

Mikavica¹,

Radojicic²,

Kostic-Ljubisavljevic³

2015

IJTTE

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Continuous forecast of bandwidth demand in order to achieve a proper network planning and dimensioning is one of the key challenges that network operators need to deal with. The importance of this issue is highlighted with the necessity of proper decision making regarding capital investments and the permanent increase in traffic volume. Under-investing in network resources lead to low network performances and hence dissatisfied customers, while over-investing may cause over-dimensioned capacities which leads to lower resource utilization and opportunity losses. In that perspective, it is essential to determine whether current network capacities satisfy bandwidth requirements. If it does, determining relevant time period is of great significance. As the bandwidth demand increases by the development of new services, the existing broadband networks need to be upgraded. The growing bottleneck can be solved rolling out optical access network. These networks are characterized by greater bandwidth supply enhancement compared to bandwidth demand. That fact emphasizes the need of appropriate bandwidth forecast. This paper presents model for in optical access networks future bandwidth demand and network resource utilisation estimation. In order to appropriately address valid demand of all households in a given area, Monte Carlo simulation is applied.

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Section: Review Of Monte Carlo Simulation Application In Optical Netwmentioning

confidence: 99%

Estimation of Optical Access Network Bandwidth Demand Using Monte Carlo Simulation

Mikavica¹,

Radojicic²,

Kostic-Ljubisavljevic³

2015

IJTTE

View full text Add to dashboard Cite

show abstract

Performance analysis in multi-channels ellipsoid structure wireless optical communications

Hitam

Loong

Sahbudin

et al. 2014

Optik

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Wireless optical is categorized as a last mile solution for the sake of complementing the Gigabits network solution. Recently, multi-channels wireless optical (WO) has been introduced to increase the coverage and the link range up to kilometers and reduce other possible losses. This paper proposed a multi-channels ellipsoid structure by analyzing a transmission distance by incorporating the number of aligned transceiver. The performance of conventional single channel and multi-channels WO are also compared and the analysis showed that the WO system with increment of number of transceiver pairs (number of channels) is performing better, having low geometrical path loss, higher received power and link margin.

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Evaluation of FSO and FTTH technologies using techno‐economic and risk analysis

Cited by 2 publications

References 9 publications

Estimation of Optical Access Network Bandwidth Demand Using Monte Carlo Simulation

Estimation of Optical Access Network Bandwidth Demand Using Monte Carlo Simulation

Performance analysis in multi-channels ellipsoid structure wireless optical communications

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