Hybrid Fiber-Wireless Network: An Optimization Framework for Survivable Deployment

Yu, Yinpeng; Ranaweera, Chathurika; Lim, Christina; Guo, Lei; Liu, Yejun; Nirmalathas, Ampalavanapillai; Wong, Elaine

doi:10.1364/jocn.9.000466

Cited by 33 publications

(12 citation statements)

References 14 publications

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“…Articles such as [110, 111, 135] may be an initial starting point for research in this area. The OR community has contributed to several related topics including the location/operation of cell towers [27, 71] and wireless sensor networks [40, 108] where spatially distributed nodes with limited broadcast power establish a communication path to a central location (e.g., a cell tower).…”

Section: Access Networkmentioning

confidence: 99%

Telecommunications network design: Technology impacts and future directions

Wong

2020

Networks

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During the past 50 years telecommunication network technology has raced ahead powered by exponential advances in computer chip and fiber optic technology. The introduction of packet‐switched networks and the Internet has increased network traffic demands exponentially and has nurtured a variety of new telecommunication services (e.g., email, web‐surfing, social media, streaming services, e‐commerce, the Internet of Things, etc.) over the past 30 years. This rapidly changing environment (along with certain technical considerations) has made it very difficult to give accurate forecasts of traffic demands for both the short‐term (intraday) and for the longer term (year‐to‐year). Telecommunications network design has evolved from the voice‐only networks of the 1970s where operations research (OR) methodology was indispensable to current multiservice packet‐switched data networks whose uncertainty and rapid evolution has reduced the utility of classical optimization models that rely on accurate traffic demand forecasts. After summarizing the major developments in telecommunications network design technologies/services, we describe some promising future research directions to address an environment where technology is ever‐changing and traffic forecasting is difficult. In particular, we focus on the public Internet and emphasize possible work where OR/optimization methodology may be useful in understanding and solving telecommunications network routing and design problems.

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Section: Access Networkmentioning

confidence: 99%

Telecommunications network design: Technology impacts and future directions

Wong

2020

Networks

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“…Once data is merged in the BSs, by optical fiber, information is sent to the central office (see Figure 1), originating a FiWi network. FiWi has properties of profitability, robustness, flexibility, high capacity, reliability and is self-organized [44]. There are many challenges and open issues in the planning and functioning of the network as: the placement of UDAPs, routing, capacity, flow control, congestion, the programming and the assignation of bandwidth [45].…”

Section: Fiwi Network Architecturementioning

confidence: 99%

Optimal Deployment of FiWi Networks using Heuristic Method for Integration Microgrids with Smart Metering

Inga¹,

Campaña²,

Hincapié³

et al. 2018

Preprint

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The unpredictable increase in electrical demand affects the quality of theenergy throughout the network. A solution to the problem is the increase of distributedgeneration units which burn fossil fuels.While this is an immediate solution to theproblem the ecosystem gets affected by the emission of CO2.A promising solutionis the integration of Distributed Renewable Energy Sources (DRES) to the conventionalelectrical system, thus, introducing the concept of smart microgrids (SMG) that requirea safe, reliable and technically planned two-way communication system. This documentpresents a heuristic based on planning capable of providing a bidirectional communicationnear optimal route map, following the structure of an hybrid Fiber-Wireless (FiWi) with thepurpose of obtaining information of electrical parameters that help us to manage the useof energy by integrating conventional electrical system to SMG. A FiWi network is basedon the integration of wireless access and optical networks. This integration increases thecoverage and reliability at a lower cost. The optimization model is based on clusteringtechniques, through the construction of balanced conglomerates. The method is used forthe development of the clusters along with the Nearest-Neighbor Spanning Tree Algorithm(N-NST). Additionally, Optimal Delay Balancing (ODB) model will be used to minimizethe end to end delay of each grouping. In addition, the heuristic observes real designparameters such as: capacity and coverage. Using the Dijkstra algorithm, the routes arebuilt following the minimum shorter path. Therefore, this paper presents a heuristic able to plan the deployment of smart meters (SMs) through a tree-like hierarchical topology for theintegration of SMG at the lowest cost.

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“…Network planning of fronthaul [25], [26], backhaul and small-cell networks [7]- [11] over wireless networks suffers from more complexities than that of wire networks. To benefit from high bandwidth and ubiquitous access of optical and wireless technologies, hybrid fiber-wireless (FiWi) networks have been identified as a promising network architecture [32]- [34].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, a K-means clustering-based planning algorithm for the TWDM-PON based fiber backhaul network was proposed to minimize the dense deployment cost of 5G small cells [28]. For network planning of hybrid FiWi networks, an optimal network planning strategy was proposed, and optimal placement of virtualized BBU processing and multiple ONUs were also proposed [32]- [34]. In addition, a flexible and bandwidth-variable optical paths allocation between BBUs and RRUs were demonstrated in [35] by using SDN.…”

Section: Introductionmentioning

confidence: 99%

Low-Latency Oriented Network Planning for MEC-Enabled WDM-PON Based Fiber-Wireless Access Networks

Wang

Zhang

et al. 2019

IEEE Access

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WDM-PON-based mobile edge computing (MEC)-enabled fiber wireless access networks (MFWAN) have been identified as a promising technology for next-generation broadband access. Lowlatency oriented network planning of the WDM-PON-based MFWAN would be required for low-latency access to newly emerging latency-sensitive applications in the fifth-generation (5G) era. However, this would require a low-latency oriented network design in the network planning phase and has thus become a crucial challenge. In this paper, we investigate low-latency oriented network planning of the WDM-PON-based MFWAN under physical and management constraints. To this end, we develop a mathematical model to minimize total transmission latency for all latency-sensitive services. Our model is composed of the propagation latency on the paths and the processing latency on the network equipment and is subject to constraints of maximal transmission distance, maximal PON power budget, bandwidth requests, and the fronthaul latency limit under some functional split options. Given the model's complexity, we also propose a heuristic algorithm called latency-minimized integrated multi-associated positioning and routing algorithm (LMI-MAPRA). The simulation results show that the proposed algorithm outperforms the benchmark algorithm with more total transmission latency reductions in both sparse and dense networks. We also analyze the impact of key parameters on comparisons of different approaches in terms of low-latency optimal performances.

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Hybrid Fiber-Wireless Network: An Optimization Framework for Survivable Deployment

Cited by 33 publications

References 14 publications

Telecommunications network design: Technology impacts and future directions

Telecommunications network design: Technology impacts and future directions

Optimal Deployment of FiWi Networks using Heuristic Method for Integration Microgrids with Smart Metering

Low-Latency Oriented Network Planning for MEC-Enabled WDM-PON Based Fiber-Wireless Access Networks

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