Dynamic bandwidth allocation based on adaptive predictive for low latency communications in changing passive optical networks environment

Cao, Bingyao; Zheng, Xin; Yuan, Kechen; Qin, Deli; Hong, Yiming

doi:10.1016/j.yofte.2021.102556

Cited by 10 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Notably, a number of cutting-edge studies employing ML/DL in DBA have been conducted (as shown in Table 1) [17], [18], [19], [20], [21], [22], [23], [24]. For example, [21], uses the k-Nearest Neighbors (k-NN) method to adaptively tune neighbors dynamically, which is essential in dynamic environments with frequent changes that affect accuracy.…”

Section: Introductionmentioning

confidence: 99%

A Novel Temporal Dynamic Wavelength Bandwidth Allocation Based on Long-Short-Term-Memory in NG-EPON

et al. 2023

View full text Add to dashboard Cite

Optical networks have undergone a remarkable transformation with the adoption of Artificial Intelligence (AI) techniques such as Machine Learning (ML) and Deep Learning (DL). The Next Generation (NG)-EPON is one such technology that is essential for supporting high-bandwidth applications like 4K video streaming, ultra-high-definition (UHD) CCTV, and other emerging video-type applications that have strict Quality-of-Service (QoS) requirements. In this paper, we present a ground-breaking Temporal Dynamic Wavelength Bandwidth Allocation (T-DWBA) mechanism based on the Long-Short-Term-Memory (LSTM) architecture. The T-DWBA uses past experiences to learn data as knowledge and predict time series with time lags of unknown size. Our proposed mechanism reduces upstream control message overheads, eliminates idle periods, and significantly improves bandwidth utilization, ensuring superior QoS specifically for videotype applications. The simulation results show that the T-DWBA significantly enhances system performance, reducing packet delay, and jitter, and improving bandwidth utilization. The use of AI techniques like ML and DL coupled with the recent advancements in SDN-Enabled Broadband Access (SEBA), hardware/software, and cloud technologies provide the perfect platform for deploying our proposed T-DWBA mechanism. Overall, our research proposes a promising solution for boosting EPON performance, revolutionizing optical networks, and providing seamless access to high-quality video streaming for a next-generation audience.

show abstract

Section: Introductionmentioning

confidence: 99%

A Novel Temporal Dynamic Wavelength Bandwidth Allocation Based on Long-Short-Term-Memory in NG-EPON

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Statistical 8-node × 8-wavelength multiplexing based on a simple arbitration has been designed in two-layer on-chip architecture [15]. Reinforcement learning predictive strategies are investigated to detect fast PON environmental changes [16]. Some dynamic wavelength and DBA algorithms aim to avoid or minimize frame re-arrangement problem when an ONU transmits in multiple TChs [17], or propose sleep mode algorithm based on PON load [18].…”

mentioning

confidence: 99%

Dynamic Bandwidth Allocation for C-Band Shared FBG Sensing and Telecommunications

Cibira

Glesk

Dubovan

2022

IEEE Internet Things J.

View full text Add to dashboard Cite

The telecommunications data transfer in singlemode (SM) optical fiber (OF) of a passive optical network (PON) is managed by dynamic bandwidth allocation (DBA). In most internet of things (IoT) sensor network applications, both raw sensing signals and telecommunication data are transmitted in SM OFs, too. At the present time, this is not done in a shared SM OF. This paper presents a novel concept to share FBG sensing and telecommunication services (TS) in the optical C-band of the shared transmission. This concept is based on statistical detection and monitoring of fiber Bragg gratings (FBGs) sensing signals. The key steps of the proposed concept are FBG power spectral peaks statistical detection, monitoring of the FBGs dynamics and periodical estimation of TChs occupancy and availability. The proposed concept was demonstrated and validated using sensor network with a deployed group of FBG-based sensors, by implementing various static or dynamic approaches. By doing so, we achieved telecommunication channels (TChs) bandwidth availability approaching 80 %, compared to previously wasted bandwidth with availability at most 15.6 %. Experimental results showed that a DBA system with implemented dynamic TChs occupancy is a reliable way to share fiber bandwidth between both FBG sensing and TChs.

show abstract

A predictive TDM-PON resource allocation using the ANN method based on equilibrium points of discrete dynamical systems

Nikoukar,

Goudarzi,

Rezaei

et al. 2023

Optical Fiber Technology

View full text Add to dashboard Cite

Dynamic bandwidth allocation based on adaptive predictive for low latency communications in changing passive optical networks environment

Cited by 10 publications

References 26 publications

A Novel Temporal Dynamic Wavelength Bandwidth Allocation Based on Long-Short-Term-Memory in NG-EPON

A Novel Temporal Dynamic Wavelength Bandwidth Allocation Based on Long-Short-Term-Memory in NG-EPON

Dynamic Bandwidth Allocation for C-Band Shared FBG Sensing and Telecommunications

A predictive TDM-PON resource allocation using the ANN method based on equilibrium points of discrete dynamical systems

Contact Info

Product

Resources

About