An efficient dynamic bandwidth allocation for GPON long-reach extension systems

Sales, Vicent; Segarra, Josep; Prat, Josep

doi:10.1016/j.osn.2014.01.009

Cited by 16 publications

(8 citation statements)

References 23 publications

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“…Many PON DBA algorithms have been proposed, such as in [3,[10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27], but there were only a few articles on GPON FSAN-compliant DBA algorithms which have been physically implemented, named as GigaPON access network (GIANT), immediate allocation colourless grant (IACG) and efficient bandwidth utilization (EBU) algorithms. GIANT [3] is the first physically implemented DBA algorithm which introduced a down counter for bandwidth allocation.…”

Section: Related Work On Dba Algorithmsmentioning

confidence: 99%

Dynamic bandwidth allocation algorithm for long reach passive optical network

2021

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Next generation broadband access networks are gaining more interests from many key players in this field. The demands for longer reach and higher bandwidth are among the driving factors for such network as it can reach wider area up to 100 km, even beyond; has enhanced bandwidth capacity and transmission speed, but with low cost and energy consumption. One promising candidate is long reach passive optical network, a simplified network with reduced number of network elements, equipment interfaces, and even nodes; which leads to a significant reduction in the network's capital expenditure and operational expenditure. Outcome of an extended reach often results in increased propagation delay of dynamic bandwidth allocation messages exchange between the optical line terminals and optical network units, leading to the degradations of bandwidth allocation and quality of service support. Therefore, an effective bandwidth allocation algorithm with appropriate service interval setup for a long reach network is proposed to ensure the delay is maintained under ITU-T G.987.1 standard requirement. An existing algorithm is improved in terms of service interval so that it can perform well beyond 100 km. Findings show that the improved algorithm can reduce the mean delay of high priority traffic classes for distance up to 140 km.

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Section: Related Work On Dba Algorithmsmentioning

confidence: 99%

Dynamic bandwidth allocation algorithm for long reach passive optical network

2021

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“…The researchers reduce the idle time of channel during a reporting optical network unit (ONU) buffer occupation for data transmission. The work [14] also deals with a dynamic bandwidth allocation algorithm for long-reach systems. The primary purpose of this research is to reduce inefficiency occurs in the DBA upstream protocols because of the large propagation time between optical line termination (OLT) and ONUs.…”

Section: Related Workmentioning

confidence: 99%

MongoDB Database as Storage for GPON Frames

Holík

Horváth

Oujezský

et al. 2020

Sensors

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This work is focused on creating an open-source software-based solution for monitoring traffic transmitted through gigabit passive optical network. In this case, the data are captured by the field-programmable gate array (FPGA) card and reassembled using parsing software from a passive optical network built on the International Telecommunication Unit telecommunication section (ITU-T) G.984 gigabit-capable passive optical network GPON recommendation. Then, the captured frames are converted by suitable software into GPON frames, which will be further processed for analysis. Due to the high transfer rate of GPON recommendations, the work describes the issue of writing to the Mongo database system. In order to achieve the best possible results and minimal loss of transmitted frames, a series of tests were performed. The proposed test scenarios are based on different database writing approaches and are implemented in the Python and C# programming languages. Based on our results, it has been shown that the high processing speed is too high for Python processing. Critical operations must be implemented in the C# programming language. Due to rapid application development, Python can only be used for noncritical time-consuming data processing operations.

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“…Allocation with Colorless Grant (IACG) DBA scheme shows higher delay and frame loss than EBU and lower delay than GIANT [28], [29]. One DBA scheme, GPON Redundancy Eraser Algorithm for Long-Reach (GREAL), does not utilize the excess bandwidth to support added traffic [30] and has higher delay that EBU and IACG algorithms [28]. Another DBA scheme, Improved…”

Section: Dynamic Bandwidth Allocation (Dba) In Ponsmentioning

confidence: 99%

Supporting Diverse Customers and Prioritized Traffic in Next-Generation Passive Optical Networks

Hoque

Ramamurthy

2020

Optical Network Design and Modeling

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Adviser: Byrav RamamurthyThe already high demand for more bandwidth usage has been growing rapidly.Access network traffic is usually bursty in nature and the present traffic trend is mostly video-dominant. This motivates the need for higher transmission rates in the system. At the same time, the deployment costs and maintenance expenditures have to be reasonable. Therefore, Passive Optical Networks (PON) are considered promising next-generation access technologies. As the existing PON standards are not suitable to support future-PON services and applications, the FSAN (Full Service Access Network) group and the ITU-T (Telecommunication Standardization Sector of the International Telecommunication Union) have worked on developing the NG-PON2 (Next Generation PON 2) standard.Resource allocation is a fundamental task in any PON and it is necessary to have an efficient scheme that reduces delay, maximizes bandwidth usage, and minimizes the resource wastage. A variety of DBA (Dynamic Bandwidth Allocation) and DWBA (Dynamic Wavelength and Bandwidth Allocation) algorithms have been proposed which are based on different PONs (e.g. EPON, GPON, XG-PON, 10G-EPON, etc.). But to our knowledge, no DWBA scheme for NG-PON2 system, with diverse customers and prioritized traffic, has been proposed yet. In this work, this problem is addressed and five different dynamic wavelength and bandwidth allocation (DWBA) schemes are proposed. First, mixed integer linear programming (MILP) models are developed to minimize the total delay of the high priority data. Due to the MILP's high computational complexity, heuristic algorithms are developed based on the MILP model insights. The five heuristics algorithms are: No Block-Split Heuristic (NBH), Equal Block-Split Heuristic (EBH), Priority Based No Block-Split Heuristic (P-NBH), Priority Based Equal Block-Split Heuristic (P-EBH), and Priority Based Decider Block-Split Heuristic (P-DBH). Six priority classes of requests areintroduced with the goal of minimizing the total delay for the high priority data and to lessen the bandwidth wastage of the system. Finally, experiments for the performance evaluation of the five DWBA schemes are conducted. The results show that P-NBH, P-EBH, P-DBH schemes show a 47.63% less delay and 30% of less bandwidth wastage on average for the highest priority data transmission than the schemes without priority support (NBH and EBH). Among these five schemes, NBH method has the highest delay, whereas EBH and P-EBH waste more bandwidth than the other schemes. P-DBH is the most efficient among the five because this scheme offers the lowest delay for high priority data and the minimum bandwidth wastage for lower priority ones. iv ACKNOWLEDGMENTS I would first like to express my gratitude to my supervisor, Dr. Byrav Ramamurthy, for his advice and selfless time. I greatly appreciate the freedom that he has given me to find my own path throughout the thesis.Besides my supervisor, I am also grateful to my thesis committee: Dr. Lisong Xu and Dr. Massimilano Pierobon for their...

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An efficient dynamic bandwidth allocation for GPON long-reach extension systems

Cited by 16 publications

References 23 publications

Dynamic bandwidth allocation algorithm for long reach passive optical network

Dynamic bandwidth allocation algorithm for long reach passive optical network

MongoDB Database as Storage for GPON Frames

Supporting Diverse Customers and Prioritized Traffic in Next-Generation Passive Optical Networks

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