Two-Stage Resource Allocation to Improve Utilization of Synchronous OFDM-PON Supporting Service Differentiation

Doo, Kyeong-Hwan; Bang, Junseong; Han, Man‐Soo; Lee, Jonghyun; Lee, Sang-Soo

doi:10.4218/etrij.15.0114.0922

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…The performance of the SA-WBA is compared with the results of TA-WBA (Butt et al 2019) and the LA-WBA (Doo et al 2015) for traffic class T2 to T4 of all the ONUs. The results of the average ONU Asleep time, average Energy savings per ONU, mean US delays of T1 to T4 traffic classes and the mean Us delays of all the TWDM PON wavelengths are shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

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Sleep-aware wavelength and bandwidth assignment scheme for TWDM PON

et al. 2021

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The energy efficiency and delay performance of PON are two inversely related phenomena. Higher sleep time of the Optical Network Units (ONUs) results in higher upstream (US) delays due to increased traffic queues during the ONU Asleep state. Although an efficient dynamic bandwidth and wavelength assignment (DWBA) scheme can decrease US delays by minimizing the bandwidth waste and improving the fairness of bandwidth distribution among the ONUs. However, the conventional DWBA schemes are not designed to work with cyclic sleep mode (CSM) and they keep on assigning bandwidth to ONUs even if the ONU is in Asleep state leading to wastage of bandwidth and degraded CSM performance. Therefore, in this work a sleep aware DWBA scheme for TWDM PON is presented to coordinate with CSM mode. It only assign bandwidth to Active ONUs during the guaranteed phase, surplus phase and excess phase allocation phases which minimizes the bandwidth waste and the bandwidth lost at the ONU end. The wavelength switching process is also improved by only considering the Active state ONUs to balance the traffic load on all the wavelengths. The simulation results support our claim as the SA-DWBA scheme on average achieves DWBA schemes due to up to 50% to 65% higher energy savings compared to other due to longer ONU Asleep times. However, the increased upstream delays of all the traffic classes in SA-DWBA scheme remain within the set delay limit of 50 ms.

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Section: Resultsmentioning

confidence: 99%

“…7 DBA cycle of SA-DWBA scheme improves the overall performance of the CSM process by efficiently balancing the traffic load on all the TWDM PON wavelengths. Butt et al (2019), Doo et al (2015). The line rates for T1, T2 and T3 traffic classes are set in each ONU to 20Mbps, 90Mpbs and 90Mbps bandwidth respectively.…”

Section: Sleep Aware Wavelength Assignmentmentioning

confidence: 99%

Sleep-aware wavelength and bandwidth assignment scheme for TWDM PON

et al. 2021

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“…The US delay and bandwidth utilization performance of the TA-WBA scheme was compared with the results of ST-WBA scheme that uses fixed wavelength assignment [14] and with extreme load balancing WBA (EL-WBA) scheme that balances traffic load by swapping the most high and least loaded ONUs [11], [14]. The Time complexity of ST-WBA was observed to be O(n) while for EL-WBA and TA-WBA, it was found to be O(n log(n)).…”

Section: Resultsmentioning

confidence: 99%

“…In this study, the 64 ONUs were considered, and the wavelength set was restricted to four to reduce the computational load in OMNET ++ . The DS link rate for each wavelength was set to 10 Gbps, and the US line rate was set to 2.5 Gbps like in [14]. The ONU to OLT distance is 40 km resulting in a round trip time of 400 µs with 200 Mbps Line-rate between OLT to ONU.…”

Section: Simulation Parameter Settingmentioning

confidence: 99%

Traffic-Adaptive Inter Wavelength Load Balancing for TWDM PON

et al. 2020

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This study presents a dynamic inter wavelength migration scheme for the optical network units (ONUs) employing linear regression machine learning method to equalize the traffic volume on all the wavelengths in time and wavelength division multiplexed passive optical network (TWDM PON). The proposed traffic-adaptive wavelength and bandwidth assignment (TA-WBA) scheme not only decreases upstream traffic delays but also offers 2.3% and 30% less delay on the wavelengths balancing the excessive load and 7% less upstream bandwidth waste, when evaluated against other load-balancing scheme.

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“…The disadvantage of the study is that no generalized network-assisted D2D communication was considered, and thus low spectrum efficiency was achieved. A two-stage RA scheme of an OFDM network is proposed in [15] to improve the system spectral efficiency. In this paper, the authors considered a time window allocation stage and a subchannel reallocation stage.…”

Section: Related Workmentioning

confidence: 99%

Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm

Ningombam

Shin

2020

Sensors

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In the last few years, multicast device-to-device (D2D) cellular networks has become a highly attractive area of research. However, a particularly challenging class of issues in this area is data traffic, which increases due to increase in video and audio streaming applications. Therefore, there is need for smart spectrum management policies. In this paper, we consider a fractional frequency reuse (FFR) technique which divides the whole spectrum into multiple sections and allows reusing of spectrum resources between the conventional cellular users and multicast D2D users in a non-orthogonal scenario. Since conventional cellular users and multicast D2D users shared same resources simultaneously, they generate severe data traffic and high communication overhead. To overcome these issues, in this paper we propose Lagrange relaxation technique to solve the non-convex problem and combinatorial auction-based matching algorithm to select the most desirable resource reuse partners by fulfilling the quality of service (QoS) requirements for both the conventional cellular users and multicast D2D users. Then, we formulate an optimization problem to maximize the overall system performance with least computational complexity. We demonstrate that our method can exploit a higher data rate, spectrum efficiency, traffic offload rate, coverage probability, and lower computational complexity.

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Two-Stage Resource Allocation to Improve Utilization of Synchronous OFDM-PON Supporting Service Differentiation

Cited by 6 publications

References 18 publications

Sleep-aware wavelength and bandwidth assignment scheme for TWDM PON

Sleep-aware wavelength and bandwidth assignment scheme for TWDM PON

Traffic-Adaptive Inter Wavelength Load Balancing for TWDM PON

Traffic Offloading in Multicast Device-to-Device Cellular Networks: A Combinatorial Auction-Based Matching Algorithm

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