Self-optimised Coordinated Traffic Shifting Scheme for LTE Cellular Systems

Xu, Lexi; Cheng, Xinzhou; Chen, Yue; Chao, Kun; Liu, Dantong; Xing, Huanlai

doi:10.1007/978-3-319-19746-3_9

Cited by 25 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Random networks are Rd-1 (20nodes, 37links), Rd-2 (20nodes, 39links), Rd-3 (30nodes, 60links), Rd-4 (30nodes, 69links), Rd-5 (40nodes, 78links), Rd-6 (40nodes, 85links), Rd-7 (50nodes, 101links), and Rd-8 (50nodes, 118links). Link cost φ L (e) for link e is distributed uniformly in the range of [5,15]. Coding cost per each data flow φ C is set to 10.…”

Section: Evaluate P(t) and Store The Best Individual B(t)mentioning

confidence: 99%

A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding

Xing

et al. 2016

2016 16th International Symposium on Communications and Information Technologies (ISCIT)

Self Cite

View full text Add to dashboard Cite

A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. Abstract-this paper studies and models the multicast routing problem with network coding in dynamic network environment, where computational and bandwidth resources are to be jointly optimized. A quantum inspired evolutionary algorithm (QEA) is developed to address the problem above, where a restart scheme is devised for well adapting QEA for tracing the ever-changing optima in dynamic environment. Experimental results show that the proposed QEA outperforms a number of existing evolutionary algorithms in terms of the best solution obtained.

show abstract

Section: Evaluate P(t) and Store The Best Individual B(t)mentioning

confidence: 99%

A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding

Xing

et al. 2016

2016 16th International Symposium on Communications and Information Technologies (ISCIT)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Due to the advantages of the proposed algorithm, it can be applied to a number of optimization problems in wireless communications, e.g. traffic control and network configuration in Long Term Evolution (LTE) cellular systems [24,25].…”

Section: Overall Performance Evaluationmentioning

confidence: 99%

A PBIL for Load Balancing in Network Coding Based Multicasting

Xing

et al. 2016

Computational Science and Its Applications – ICCSA 2016

Self Cite

View full text Add to dashboard Cite

Abstract. One of the most important issues in multicast is how to achieve a balanced traffic load within a communications network. This paper formulates a load balancing optimization problem in the context of multicast with network coding and proposes a modified population based incremental learning (PBIL) algorithm for tackling it. A novel probability vector update scheme is developed to enhance the global exploration of the stochastic search by introducing extra flexibility when guiding the search towards promising areas in the search space. Experimental results demonstrate that the proposed PBIL outperforms a number of the state-of-the-art evolutionary algorithms in terms of the quality of the best solution obtained.

show abstract

“…Cloud computing is a kind of widely-used distributed computing technology [1][2][3]. Its basic concept is to automatically divide the huge computing processing program into numerous smaller subroutines through the network, and then hand the processing results back to the user after searching, calculating and analyzing by a large system of multiple servers [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

The Realization Path of Network Security Technology Under Big Data and Cloud Computing

Kang

Cheng

Bingyi

et al. 2019

Lecture Notes in Electrical Engineering

Self Cite

View full text Add to dashboard Cite

This paper studies the cloud and big data technology based on the characters of network security, including virus invasion, data storage, system vulnerabilities, network management etc. It analyzes some key network security problems in the current cloud and big data network. Above all, this paper puts forward technical ways of achieving network security. Cloud computing is a service that based on the increased usage and delivery of the internet related services, it promotes the rapidly development of the big data information processing technology, improves the processing and management abilities of big data information. With tie rapid development of computer technology, big data technology brings not only huge economic benefits, but the evolution of social productivity. However, serials of safety problems appeared. How to increase network security has been become the key point. This paper analyzes and discusses the technical ways of achieving network security.

show abstract

Self-optimised Coordinated Traffic Shifting Scheme for LTE Cellular Systems

Cited by 25 publications

References 11 publications

A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding

A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding

A PBIL for Load Balancing in Network Coding Based Multicasting

The Realization Path of Network Security Technology Under Big Data and Cloud Computing

Contact Info

Product

Resources

About