The increasing interest drawn to LTE system requires the analysis of train-ground communication channel. By the approval of the Ministry of Railways of China, extensive and practical measurements are performed on Harb...
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Based on OpenFlow technology, a link quality equalizer is proposed. Distributed QoTaware optical path adjustment scheme is experimentally demonstrated. It will be a novel optical path adjustment solution to large-scal...
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The virtual network embedding/mapping problem is an important issue in network virtualization in Software-Defined networking(SDN).It is mainly concerned with mapping virtual network requests,which could be a set of SD...
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The virtual network embedding/mapping problem is an important issue in network virtualization in Software-Defined networking(SDN).It is mainly concerned with mapping virtual network requests,which could be a set of SDN flows,onto a shared substrate network automatically and *** researches mainly focus on developing heuristic algorithms for general topology virtual *** practice however,the virtual network is usually generated with specific topology for specific ***,it is a challenge to optimize the heuristic algorithms with these topology *** order to deal with this problem,we propose a topology-cognitive algorithm framework,which is composed of a guiding principle for topology algorithm developing and a compound *** compound algorithm is composed of several subalgorithms,which are optimized for specific *** develop star,tree,and ring topology algorithms as examples,other subalgorithms can be easily achieved following the same *** simulation results show that the topology-cognitive algorithm framework is effective in developing new topology algorithms,and the developed compound algorithm greatly enhances the performance of the Revenue/Cost(R/C) ratio and the Runtime than traditional heuristic algorithms for multi-topology virtual network embedding problem.
In the research of green networks, considering the base station (BS) density from the perspective of energy efficiency is very meaningful for both network deployment and BS sleeping based power saving. In this paper, ...
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ISBN:
(纸本)9781479964123
In the research of green networks, considering the base station (BS) density from the perspective of energy efficiency is very meaningful for both network deployment and BS sleeping based power saving. In this paper, we optimize the BS density for energy efficiency in cellular networks by the stochastic geometry theory and optimize the user association matrix by the Quantum Particle Swarm Optimization (QPSO). On one hand, we model the distribution of base stations and user equipment (UE) as spatial Poisson point process (PPP). Based on such model, we derive the closed-form expressions of the average achievable data rate, the network energy consumption and the network energy efficiency with respect to the network load. Then, we optimize the BS density for network energy efficiency maximization by adopting the Newton iteration method. On the other hand, we build a user association matrix to present the connection state between BSs and UEs, and then optimize it by QPSO. Our study reveals that we can improve the network energy efficiency by switching on/off proportion of the BSs according to the network load. The simulation results validate the theoretical analysis, and show that when the right amount of BSs is deployed according to the network load, the network energy efficiency can be maximized and the maximum energy efficiency is a fixed value once the network parameters are given.
Recent years wireless networks have witnessed an explosive growth in enhanced multimedia broadcast and multicast service (eMBMS). Scalable video coding (SVC) streaming is a mainstream coding in eMBMS. In this paper we...
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ISBN:
(纸本)9781510804166
Recent years wireless networks have witnessed an explosive growth in enhanced multimedia broadcast and multicast service (eMBMS). Scalable video coding (SVC) streaming is a mainstream coding in eMBMS. In this paper we present a novel eMBMS user cooperative erasure recovery mechanism based on network coding where SVC streaming and layer network coding are broadcasted by source node. Local cooperative repair together with network coding is used to save total overhead of links and reduce the retransmission times, for purpose of improving Quality of Service (QoS) of video streaming. The simulation results show that the number of retransmissions declines a lot through our mechanism. Local user cooperation saves link overhead as much as 55% when sender disseminates SVC streaming. Combining with layer network coding, the overhead can also be reduced about 17%.
In this paper, we propose a novel 'Opinion Free' (OF) No-Reference Video Quality Assessment (NR-VQA) algorithm based on frame-level unsupervised feature learning and hysteresis temporal pooling. The system con...
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In order to reduce cost and complexity,fiber-wireless(FiWi) networks emerge,combining the huge amount of available bandwidth of fiber networks and the flexibility,mobility of wireless ***,there is still a long way to ...
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In order to reduce cost and complexity,fiber-wireless(FiWi) networks emerge,combining the huge amount of available bandwidth of fiber networks and the flexibility,mobility of wireless ***,there is still a long way to go before taking fiber and wireless systems as fully integrated *** this paper,we propose a network visualization based seamless networking scheme for FiWi networks,including hierarchical model,service model,service implementation and dynamic bandwidth assignment(DBA).Then,we evaluate the performance changes after network virtualization is *** for nodes,bandwidth for links and overheads leaded by network virtualization are *** performance of our proposed networking scheme is evaluated by simulation and real implementations,*** results show that,compared to traditional networking scheme,our scheme has a better performance.
In Heterogeneous network (HetNet), reasonable resource allocation has attracted extensive attention. To allocate the resource more effectively, we propose a novel algorithm from the perspective of both time domain and...
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ISBN:
(纸本)9781479944484
In Heterogeneous network (HetNet), reasonable resource allocation has attracted extensive attention. To allocate the resource more effectively, we propose a novel algorithm from the perspective of both time domain and power domain. On the one hand, we propose an adaptive Almost Blank Subframe (ABS) configuration scheme to dynamically match the network resources with the real-time load. On the other hand, we propose a utility function of macrocells' power control and a corresponding scheduling scheme to make a tradeoff between the two-tier macro-pico networks and protect the victim users as well. The existence of the optimal solution to the problem is proved, and Differential Evolution (DE) is applied to find the optimal solution. system level simulation results show that the proposed algorithm can not only enhance the load balance between macrocell and picocell, but also provide a great improvement on the performance of edge users with little overall throughput cost.
With the widespread popularity and rapid development of Internet,the network is becoming more *** of network node behavior can be crucial for network management and service *** this paper,we conduct the detailed measu...
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With the widespread popularity and rapid development of Internet,the network is becoming more *** of network node behavior can be crucial for network management and service *** this paper,we conduct the detailed measurement analysis of the network node(NN) traffic characteristics based on a large-scale data set collected from an enterprise network traffic monitoring device,which is deployed at the entry of enterprise network covering the Guangdong province in *** analyze the distribution of NN traffic volume and visitor *** discuss the rank of NN in terms of traffic volume distribution and visitor number distribution,which follows power law ***,we illustrate the traffic characteristics of NN in terms of visitor *** handle the problem of big data processing,we make use of Hadoop framework and MapReduce programming model to analyze huge traffic data,which handles a large collection data efficiently and quickly for scalable storage and ***,in this paper,we propose a network traffic analysis method based on MapReduce in enterprise internet.
MapReduce is a developer-friendly framework that encapsulates the underlying complexities of distributed *** is increasingly being used across enterprises for advanced data analytics,business intelligence,and data min...
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MapReduce is a developer-friendly framework that encapsulates the underlying complexities of distributed *** is increasingly being used across enterprises for advanced data analytics,business intelligence,and data mining *** there are two questions bothering Hadoop users:how to improve the performance of MapReduce workloads,and how to estimate the time needed to run a MapReduce *** this paper,we provide some performance optimization techniques on the premise of workload *** the cluster achieving the best performance,we further propose a modeling method to help Hadoop users estimate the execution time of MapReduce *** evaluation,typical benchmarks are utilized to evaluate the accuracy of our techniques.
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