Low Latency Dynamic Bandwidth Allocation Algorithms for NG-PON2 to Support 5G Fronthaul and Data Services

Zaouga, Aziza; Sousa, Amaro de; Najja, Monia; Monteiro, Paulo P.

doi:10.1109/icton.2019.8840370

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…It minimizes active wavelength channels by considering the high burstiness of fronthaul data transmission and using the difference in the propagation delay between the OLT and ONUs. A low latency DBA scheme for NG-PON2 to support both 5G fronthaul services and data services is proposed in [38]. The DBA splits the upstream frame into sub-frames of equal duration, and each ONU is allocated with a time slot in each sub-frame without specifying an allocation interval for the associated queue.…”

Section: Dbas For Twdm-ponsmentioning

confidence: 99%

A QoS-Aware Dynamic Bandwidth Allocation Algorithm for Passive Optical Networks with Non-Zero Laser Tuning Time

et al. 2021

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The deployment of new 5G services and future demands for 6G make it necessary to increase the performance of access networks. This challenge has prompted the development of new standardization proposals for Passive Optical access Networks (PONs) that offer greater bandwidth, greater reach and a higher rate of aggregation of users per fiber, being Time- and Wavelength-Division Multiplexing (TWDM) a promising technological solution for increasing the capacity by up to 40 Gbps by using several wavelengths. This solution introduces tunable transceivers into the Optical Network Units (ONUs) for switching from one wavelength to the other, thus addressing the ever-increasing bandwidth demands in residential broadband and mobile fronthaul networks based on Fiber to the Home (FTTH) technology. This adds complexity and sources of inefficiency, such as the laser tuning time (LTT) delay, which is often ignored when evaluating the performance of Dynamic Bandwidth Allocation (DBA) mechanisms. We present a novel DBA algorithm that dynamically handles the allocation of bandwidth and switches the ONUs’ lasers from one wavelength to the other while taking LTT into consideration. To optimize the packet delay, we introduce a scheduling mechanism that follows the Longest Processing Time first (LPT) scheduling discipline, which is implemented over the Interleaved Polling with Adaptive Cycle Time (IPACT) DBA. We also provide quality of service (QoS) differentiation by introducing the Max-Min Weighted Fair Share Queuing principle (WFQ) into the algorithm. The performance of our algorithm is evaluated through simulations against the original IPACT algorithm, which we have extended to support multi-wavelengths. With the introduction of LPT, we obtain an improved performance of up to 73% reduction in queue delay over IPACT while achieving QoS differentiation with WFQ.

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Section: Dbas For Twdm-ponsmentioning

confidence: 99%

A QoS-Aware Dynamic Bandwidth Allocation Algorithm for Passive Optical Networks with Non-Zero Laser Tuning Time

et al. 2021

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show abstract

“…It minimizes active wavelength channels by considering the high burstiness of fronthaul data transmission and using the difference in the propagation delay between the OLT and ONUs. A low latency DBA scheme for NG-PON2 to support both 5G fronthaul services and data services is proposed in [38]. The DBA splits the upstream frame into sub-frames of equal duration, and each ONU is allocated with a time slot in each subframe without specifying an allocation interval for the associated queue.…”

Section: Dbas For Twdm-ponsmentioning

confidence: 99%

A QoS-Aware Dynamic Bandwidth Allocation Algorithm for Passive Optical Networks with Non-Zero Laser Tuning Time

Zehri¹,

Haastrup²,

Rivera³

et al. 2021

Preprint

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Time- and Wavelength-Division Multiplexing (TWDM) increases the capacity of Passive Optical Networks by up to 40 Gbps by using several wavelengths (typically four). It introduces tunable transceivers into the Optical Network Units (ONUs) for switching from one wavelength to the other, thus addressing the ever-increasing bandwidth demands in residential broadband and mobile fronthaul networks based on Fiber to the Home (FTTH) technology. This adds complexity and sources of inefficiency, such as the laser tuning time (LTT) delay, which is often ignored when evaluating the performance of Dynamic Bandwidth Allocation (DBA) mechanisms. We present a novel DBA algorithm that dynamically handles the allocation of bandwidth and switches the ONUs’ laser from one wavelength to the other while taking LTT into consideration. To optimize the packet delay, we introduce a scheduling mechanism that follows the Longest Processing Time first (LPT) scheduling discipline, which is implemented over the Interleaved Polling with Adaptive Cycle Time (IPACT) DBA. We also provide quality of service (QoS) differentiation by introducing the Max-Min Weighted Fair Share Queuing principle (WFQ) into the algorithm. The performance of our algorithm is evaluated through simulations against the original IPACT algorithm, which we have extended to support multi-wavelengths. We obtain an improved performance of up to 73% and 33% reduction in queue delay in, respectively, IPACT and WFQ.

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“…To achieve such aim, we have previously proposed in [29] and [30] a DBA algorithm for NG-PON2 that supports both 5G fronthaul and best-effort data services on a single PON channel. The DBA algorithm proposed on those works is different from the classical DBA in terms of the number and the structure of the allocated time slots at each upstream frame and it was shown that it minimizes the US 5G fronthaul delays and also maximizes the data services throughput among all active ONUs connected to PON channel.…”

Section: Introductionmentioning

confidence: 99%

“…In such case, a tight management coordination between the 5G infrastructure and the NG-PON infrastructure is required so that the throughput value of each new 5G fronthaul must be first set in the new DBA settings and the throughput of each torn down 5G fronthaul connection must be freed (or, otherwise, it will remain reserved preventing the network to use it for data services). Similarly to [29] and [30], the DBA proposed here assumes that a single allocation interval is assigned to both services and each ONU uses its allocation interval to transmit the packets of both services giving higher priority to 5G fronthaul packets.…”

Section: Introductionmentioning

confidence: 99%

Self-Adjusting DBA Algorithm for Next Generation PONs (NG-PONs) to Support 5G Fronthaul and Data Services

Zaouga

Sousa

Najjar

et al. 2021

J. Lightwave Technol.

Self Cite

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In this paper, we propose a novel Dynamic Bandwidth Allocation (DBA) algorithm for NG-PON networks to jointly support 5G fronthaul and best-effort data services in the same PON channel. The proposed Self-adjusting DBA adjusts dynamically the allocation intervals to the current required fronthaul throughput based on the requests reported from the ONUs. It is suitable for dynamic 5G scenarios where, for energy efficiency reasons, the fronthaul connections are dynamically set up and torn down over time: when a new 5G fronthaul connection is set up, the maximum latency of the current connections is guaranteed while when a current 5G fronthaul connection is torn down, the freed transmission resources become available for data services. The only requirement is that the capacity of the channel in the NG-PON network is enough to support the throughput of all 5G fronthaul connections supported by the channel. In this way, the proposed Self-adjusting DBA algorithm has the advantage of reducing to a minimum the management coordination between the 5G infrastructure and the NG-PON infrastructure, that is usually required when the throughput of the 5G fronthaul connections is supported as a guaranteed service.

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Low Latency Dynamic Bandwidth Allocation Algorithms for NG-PON2 to Support 5G Fronthaul and Data Services

Cited by 7 publications

References 7 publications

A QoS-Aware Dynamic Bandwidth Allocation Algorithm for Passive Optical Networks with Non-Zero Laser Tuning Time

A QoS-Aware Dynamic Bandwidth Allocation Algorithm for Passive Optical Networks with Non-Zero Laser Tuning Time

A QoS-Aware Dynamic Bandwidth Allocation Algorithm for Passive Optical Networks with Non-Zero Laser Tuning Time

Self-Adjusting DBA Algorithm for Next Generation PONs (NG-PONs) to Support 5G Fronthaul and Data Services

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