Highest Cost First-Based QoS Mapping Scheme for Fiber Wireless Architecture

Mohammadani, Khalid Hussain; Butt, Rizwan Aslam; Memon, Kamran Ali; Hassan, Fayaz; Majeed, Abdul; Kumar, Rajesh

doi:10.3390/photonics7040114

Cited by 11 publications

(4 citation statements)

References 35 publications

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“…As discussed above, the AS state length plays a vital role in the energy savings; thus, the energy savings of ONT also show a trend like that of the AS state. Figs, (10) to (13) show the average energy savings results for all the operators. The results show that the SA-SBS algorithm performs better than the SBS algorithm regarding power savings, especially at higher traffic loads.…”

Section: B Energy Saving (%) Vs Offer Trafficmentioning

confidence: 99%

“…The coverage in the local loop also increases from 20 to 40 km, reducing PON vendors' operational expenses. The future prospects for NGPON are very bright, as they are expected to play a key role in future smart cities [9], front haul, and the backhaul of 5G wireless communication technologies [10], [11]. NGPON benefits are achieved at the cost of higher capital expenditure (CAPEX) owing to the more extended optical fiber infrastructure, which requires extensive digging and labor costs.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Sleep-Aware Slicing-Based Scheduler (SA-SBS) for Multi-Operators Virtualized Passive Optical Networks

et al. 2023

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Due to the long reach of the next-generation passive optical network (PON), the idea of sharing infrastructure between multiple PON operators has emerged to reduce capital and operational expenditures. However, the standard transmission convergence layer requires an independent virtual bandwidth management process for each operator. Each operator uses a virtual dynamic bandwidth assignment (vDBA) for upstream bandwidth control. An additional bandwidth scheduler is required to create a single physical bandwidth map (phyBW-map) with non-overlapping time slots for each optical network terminal (ONT) or optical network unit (ONU) in the upstream frame. However, the existing slicing-based scheduler (SBS) using dynamic bandwidth assignment schemes does not perform well with the cyclic sleep process (CSP) for energy conservation in PON due to inefficient utilization of the residual bandwidth of the asleep ONUs of an operator. This work introduces an energy-efficient sleep-aware slicing-based scheduler (SA-SBS) for the multi-operator scenario of ten gigabit-capable symmetric PONs (XGS-PONs). Our approach (SA-SBS) achieves 7-10% better energy savings than the existing slicing-based scheduler (SBS) without compromising upstream delays and delay variance. Moreover, we demonstrate that our scheme outperforms the original SBS, resulting in an average delay(s) reduction of up to 28.5% for operators 1, 2, 3, and 4, respectively. Our findings can significantly improve the energy efficiency and latency performance of virtual PONs in multi-operator scenarios, paving the way for a sustainable and reliable communication infrastructure.INDEX TERMS Bandwidth assignment, bandwidth efficiency, energy efficiency, MT-vPON, vPON.

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Section: B Energy Saving (%) Vs Offer Trafficmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Sleep-Aware Slicing-Based Scheduler (SA-SBS) for Multi-Operators Virtualized Passive Optical Networks

et al. 2023

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“…The H2H, MTD (IoT) services and applications are listed in Table 2. Furthermore, according to [31], there are three key DWBA framework building blocks for optical wireless networks: QoS mapping block (QoSMB), QoS provi-sioning block (QoSPB), and (QoSB) scheduling block. First, QoSMB is responsible for solving the QoS diversity issue of allowing various hybrid-network technologies.…”

Section: System Architecturementioning

confidence: 99%

SDN-Enabled FiWi-IoT Smart Environment Network Traffic Classification Using Supervised ML Models

et al. 2021

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Due to the rapid growth of the Internet of Things (IoT), applications such as the Augmented Reality (AR)/Virtual Reality (VR), higher resolution media stream, automatic vehicle driving, the smart environment and intelligent e-health applications, increasing demands for high data rates, high bandwidth, low latency, and the quality of services are increasing every day (QoS). The management of network resources for IoT service provisioning is a major issue in modern communication. A possible solution to this issue is the use of the integrated fiber-wireless (FiWi) access network. In addition, dynamic and efficient network configurations can be achieved through software-defined networking (SDN), an innovative and programmable networking architecture enabling machine learning (ML) to automate networks. This paper, we propose a machine learning supervised network traffic classification scheduling model in SDN enhanced-FiWi-IoT that can intelligently learn and guarantee traffic based on its QoS requirements (QoS-Mapping). We capture the different IoT and non-IoT device network traffic trace files based on the traffic flow and analyze the traffic traces to extract statistical attributes (port source and destination, IP address, etc.). We develop a robust IoT device classification process module framework, using these network-level attributes to classify IoT and non-IoT devices. We tested the proposed classification process module in 21 IoT/Non-IoT devices with different ML algorithms and the results showed that classification can achieve a Random Forest classifier with 99% accuracy as compared to other techniques.

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“…For example, the convergence of GPON and LTE with high capacity and QoS services and the advantage of the bandwidth of the optical network and mobility features of wireless communications and QoS mapping between these two networks is explored in [29]. In another similar study, the authors of reference [30] investigate the performance of fiber wireless integrated architecture WLAN (5G with WiFi) and XGPON. The proposed approach is to improve the QoS scheme in different types of services with the help of the highest cost first (HCF) algorithm, which leads to reduced upstream latency for delaysensitive applications.…”

Section: Related Workmentioning

confidence: 99%

5G-Enabled Tactile Internet Resource Provision via Software-Defined Optical Access Networks (SDOANs)

et al. 2021

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Emerging research trends in smart healthcare, smart manufacturing, and Industrial Internet-of-Things (IIoT) applications are based on 5G services, which can achieve ultra-reliable and low-latency communication networks. In such fields of application, haptic applications have gained importance. The invention of 5G wireless communication networks and advances in Tactile Internet (TI) technology, which provides controlled communications through the transmission of touch and actuation in real-time, have been envisioned as promising enablers of TI services. This study introduces TI-based smart hospital healthcare applications to enhance the alignment of services provided to patients. The existing telesurgery system has high communication delay and overhead, which limit its applicability. To alleviate these problems, we analyze and provide insights into the communication architecture for 5G-enabled low-latency telesurgery in a smart hospital. We then propose a new TI-software-defined optical access networking (TI-SDOANs) framework in Next-Generation Passive Optical Network 2, which includes cloud-based human-to-machine steering servers and supports multiple cloud-based applications. We further propose the implementation of an effective TI-dynamic wavelength and bandwidth allocation (TI-DWBA) resource provisioning scheme that meets the quality of service requirements of TI services. Simulation results show that the proposed scheduling schemes can significantly improve the Quality of Service (QoS) performance in terms of the packet delay, jitter, throughput and packet drop.

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Highest Cost First-Based QoS Mapping Scheme for Fiber Wireless Architecture

Cited by 11 publications

References 35 publications

Energy-Efficient Sleep-Aware Slicing-Based Scheduler (SA-SBS) for Multi-Operators Virtualized Passive Optical Networks

Energy-Efficient Sleep-Aware Slicing-Based Scheduler (SA-SBS) for Multi-Operators Virtualized Passive Optical Networks

SDN-Enabled FiWi-IoT Smart Environment Network Traffic Classification Using Supervised ML Models

5G-Enabled Tactile Internet Resource Provision via Software-Defined Optical Access Networks (SDOANs)

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