Dual-layer efficiency enhancement for future passive optical network

Ji, Yuefeng; Wang, Xiaoxiong; Zhang, Shizong; Gu, Rentao; Guo, Tonglu; Ge, Zhaozhi

doi:10.1007/s11432-015-5430-7

Cited by 18 publications

(6 citation statements)

References 12 publications

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“…Figure 2 shows the TWDM-PON-enabled C-RAN architecture. PONs have been widely deployed in many types of access scenarios to alleviate pressure on bandwidth [30,31]. To establish the optical links between RRUs and BBUs, TWDM-PON is a promising solution due to its high capacity and energy efficiency [32].…”

Section: Inlp Multiobjective Model Formulation For Twdm-pon Enablmentioning

confidence: 99%

Resource Allocation Optimization for Time and Wavelength Division Multiplexing Passive Optical Network Enabled Mobile Fronthaul With Bitrate-Variable Compressed Common Public Radio Interface

Wang

Ji³

2016

J. Opt. Commun. Netw.

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Recently, a cloud radio access network (C-RAN) has been proposed as a candidate architecture for fifth-generation mobile communication. Fronthaul is a new segment in C-RAN. In this paper, we investigate the algorithms for resource allocation in time and wavelength division multiplexing passive optical network enabled fronthaul. We formulate an integer nonlinear programming (INLP) model, considering the operation mode of the small cell. A heuristic method is also proposed based on an adaptive parallel genetic algorithm (GA). Three optimization objectives are considered when we implement the resource allocation schemes in the fronthaul: 1) minimize the total number of used wavelengths, 2) minimize the load imbalance of the fronthaul, and 3) minimize the amount of traffic influenced by fronthaul virtual topology change. The results show that INLP and adaptive parallel GA have good performance for resource allocation in the fronthaul. Wavelength resources can be significantly saved in different load scenarios, so that the load difference can be minimized with minimal topology adjustment. Furthermore, the adaptive parallel GA obtains more efficient resource allocation than the traditional GA with much less running time, which makes it applicable for the large-scale fronthaul network optimization with fast convergence.

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Section: Inlp Multiobjective Model Formulation For Twdm-pon Enablmentioning

confidence: 99%

Resource Allocation Optimization for Time and Wavelength Division Multiplexing Passive Optical Network Enabled Mobile Fronthaul With Bitrate-Variable Compressed Common Public Radio Interface

Wang

Ji³

2016

J. Opt. Commun. Netw.

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“…Figure 1 illustrates the CoMP-oriented C-RAN architecture. Recently, large-scale deployment of PONs significantly releases the capacity pressure of the access network [32,33]. TWDM-PON is emerging as a potential candidate to transfer data between centralized BBUs and distributed RRUs with strong ability of transmission [34].…”

Section: Inlp Model Formulation For Comp-oriented Fronthaulmentioning

confidence: 99%

Efficient resource allocation for passive optical fronthaul-based coordinated multipoint transmission

Wang

et al. 2016

J Wireless Com Network

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The centralized processing in cloud radio access network enables cooperation between baseband processing units (BBUs) like inter-cell interference (ICI) cancellation on the basis of coordinated multipoint (CoMP). Large amounts of the sharing data will be transmitted through fronthaul transport network. In the paper, both integer non-linear programming (INLP) optimization model and adaptive genetic algorithm (GA) are explored to release the capacity pressure of the fronthaul transport network when CoMP is introduced. We also consider the resource allocation problem of the passive optical fronthaul network. The proposed algorithm tries to reduce the downlink bandwidth and improve the optical resource allocation efficiency of the optical fronthaul with minimal influence on the fronthaul topology. During the simulations, three critical factors are considered: (1) the number of cell edge users, (2) the average traffic demand of cell edge users, (3) the size of cell cluster used to enable the CoMP. The simulation results show that the most efficient bandwidth saving and optical resource allocation can be achieved with INLP, while the proposed adaptive GA nearly has the same performance with low computational complexity and fast convergence, which is more applicable for the large-scale fronthaul network. Furthermore, the load difference of the fronthaul transport network can be further reduced.

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“…Although different types of optical networks have different features, one of the important factors is to improve the efficiency. For instance, in optical access networks, the bandwidth efficiency is pursued [17]; in all optical backbone networks, the spectrum efficiency is pursued [18]; the energy efficiency is pursued in all optical switching networks [19]. In OODCNs, the spectrum efficiency is also pursued.…”

Section: Introductionmentioning

confidence: 99%

Bandwidth Reservation for Tenants in Reconfigurable Optical OFDM Datacenter Networks

Liu

Sun

2018

IEEE Photonics J.

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The optical datacenter networks need periodical reconfiguration in response to traffic change. Before the networks reconfigure, the tenant requests are given and should be served within fixed transfer time and spectrum capacity. In this paper, the planning problem of serving the requests in optical orthogonal frequency division multiplexing datacenter networks is investigated. We introduce the knapsack-based spectrum and time allocation (KSTA) problem. The objective of this paper is to maximize the network throughput. We formulate the KSTA problem as an integer linear programming (ILP) model. However, ILP cannot find the optimal solution for large input requests within shorter time. To solve the problem, three fast heuristic algorithms, i.e., the most spectrum first, the most time first, and the most data volume first, are proposed to achieve suboptimal solutions. Furthermore, the simulated annealing (SA) algorithm is employed to yield a better suboptimal solution. The simulation results indicate that ILP provides an optimal solution for small input requests, whereas the three heuristic algorithms and SA can yield suboptimal solutions for large input requests. The results also show that the suboptimal solution to SA is better than those provided by the three heuristic algorithms.

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Dual-layer efficiency enhancement for future passive optical network

Cited by 18 publications

References 12 publications

Resource Allocation Optimization for Time and Wavelength Division Multiplexing Passive Optical Network Enabled Mobile Fronthaul With Bitrate-Variable Compressed Common Public Radio Interface

Resource Allocation Optimization for Time and Wavelength Division Multiplexing Passive Optical Network Enabled Mobile Fronthaul With Bitrate-Variable Compressed Common Public Radio Interface

Efficient resource allocation for passive optical fronthaul-based coordinated multipoint transmission

Bandwidth Reservation for Tenants in Reconfigurable Optical OFDM Datacenter Networks

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