Optimal Base Station Density in Cellular Networks with Self-Similar Traffic Characteristics

Fan, Congshan; Zhang, Tiankui; Zeng, Zhimin; Chen, Yue

doi:10.1109/wcnc.2017.7925881

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…Thus, the restriction (1) show that the total loss for the traffic () Tt is the average waiting time of package qs -th class of service in the queue at the i -th node [21,28,29]. Performing this restriction helps to ensure that the packets delivery does not exceed the maximum permissible values for a given class of service qs  .…”

Section: Calculating Of Routing Cost Methods In the Networkmentioning

confidence: 99%

The Methods to Improve Quality of Service by Accounting Secure Parameters

Радівілова

Kirichenko

Ageiev

et al. 2019

Advances in Computer Science for Engineering and Education II

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A solution to the problem of ensuring quality of service, providing a greater number of services with higher efficiency taking into account network security is proposed. In this paper, experiments were conducted to analyze the effect of self-similarity and attacks on the quality of service parameters. Method of buffering and control of channel capacity and calculating of routing cost method in the network, which take into account the parameters of traffic multifractality and the probability of detecting attacks in telecommunications networks were proposed. The both proposed methods accounting the given restrictions on the delay time and the number of lost packets for every type quality of service traffic. During simulation the parameters of transmited traffic (self-similarity, intensity) and the parameters of network (current channel load, node buffer size) were changed and the maximum allowable load of network was determined. The results of analysis show that occurrence of overload when transmitting traffic over a switched channel associated with multifractal traffic characteristics and presence of attack. It was shown that proposed methods can reduce the lost data and improve the efficiency of network resources.

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Section: Calculating Of Routing Cost Methods In the Networkmentioning

confidence: 99%

The Methods to Improve Quality of Service by Accounting Secure Parameters

Радівілова

Kirichenko

Ageiev

et al. 2019

Advances in Computer Science for Engineering and Education II

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“… relating to one of the classes of service qs-th with requirements QoS, which correspond to the maximum delay value τq and the maximum percentage of loss lq is supplied to one of the routers [15,16]. All input traffic is divided at the flows of service classes so that to ensure the transmission requirements of all classes QS(t) in full [17].…”

Section: Routing Methods In the Networkmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Daradkeh¹,

Kirichenko²,

Радівілова³

2018

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The paper discusses actual task of ensuring the quality of services in information networks with fractal traffic. The generalized approach to traffic management and quality of service based on the account of multifractal properties of the network traffic is proposed. To describe the multifractal traffic properties, it is proposed to use the Hurst exponent, the range of generalized Hurst exponent and coefficient of variation. Methods of preventing of network overload in communication node, routing cost calculation and load balancing, which based on fractal properties of traffic are presented. The results of simulation have shown that the joint use of the proposed methods can significantly improve the quality of service network.

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“…Existing functions in a stack can be employed Not scalable, limited to transmission range, accuracy depends on traffic [5,65,66,67,68,69] Power-based…”

Section: Neighborhoodbasedmentioning

confidence: 99%

“…Locationbased estimators employ auxiliary positioning systems such as global positioning system (GPS) that consume extra energy [61,62,63,64]. Neighborhood-based estimators, which are not scalable and suffer from inaccurate results, infer density from a census on packet traffic [5,65,66,67,68,69]. Power-based estimators combine the merits of location-and neighborhood-based estimators [70,58,71,72], although RSS is not a robust distance estimator.…”

Section: How Can the Bs Density Be Estimated?mentioning

confidence: 99%