Load Balancing in UDN Networks by Migration Mechanism with Respect to the D2D Communications and E2E Delay

Salhani, Mohamad; Liinaharja, Markku

doi:10.12720/jcm.14.4.249-260

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…The DSM method has been proposed in [12] and is employed again in this paper to reduce the APs inter-communications and balance the load. This method deals with partitioning of graphs to realize a cooperation between the nodes with respect to parallel, consecutive and coupled tasks.…”

Section: Dsm Methodsmentioning

confidence: 99%

Offloading the Small Cells for Load Balancing in UDNs Using the Proactive and the User Transfer Algorithms with Reducing the APs Inter-communications

Salhani

2020

Advanced Information Networking and Applications

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In Ultra-Dense Networks, the dense deployment of small cells generates an uneven traffic distribution. This causes network performance degradation. To address this problem, this paper proposes a proactive algorithm along known user transfer and reactive algorithms to construct small-cell clusters and perform load balance across the Access Points (APs). The proactive algorithm distributes the new users, user by user, to the small cells, while the reactive algorithms are triggered when the load of the chosen cluster reaches a predefined threshold. The transfer algorithms offload the small cells by transferring the extra users to the macrocells. The user transfer can occur before or after balancing the load by the reactive algorithm. Moreover, this paper adapts the Design Structure Matrix (DSM) method to balance the load and reduce the APs inter-communications. The results indicate that the proactive algorithm with the transfer algorithms and the DSM method improve the load distribution and significantly reduce the APs inter-communications.

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Section: Dsm Methodsmentioning

confidence: 99%

Offloading the Small Cells for Load Balancing in UDNs Using the Proactive and the User Transfer Algorithms with Reducing the APs Inter-communications

Salhani

2020

Advanced Information Networking and Applications

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“…D2D refers to direct communication between devices without the need for a base station or the internet, and it is a user-centric network. In D2D communication, Ultra Dense Networks (UDN) can dynamically allocate devices based on their location and communication needs, enabling direct communication between devices, optimizing communication performance between them, and improving communication quality, transmission rate, and network performance [11]. In [12], a reasonable scheduling mechanism was used to allocate and manage video streams in ultra-dense D2D, reducing latency and effectively improving network congestion.…”

Section: Udn Resource Allocation Application Scenariosmentioning

confidence: 99%

Resource allocation trends for ultra dense networks in 5G: a comprehensive survey

jiangliang,

donghui,

siyi

2023

Third International Conference on Digital Signal and Computer Communications (DSCC 2023)

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With the widespread application of the fifth-generation mobile communication system, mobile data traffic has seen rapid growth, bringing new challenges to traditional cellular networks. Ultra-dense networks (UDN) are one of the key technologies used in 5G communication to address user capacity and high-speed transmission. How to effectively solve the problems of inter-site interference, spectrum resource scarcity, and high energy consumption in UDN has become a major research topic, and resource allocation technology is essential in this regard. This article summarizes the spectrum resource allocation methods and applications in UDN through literature review. Firstly, the applicable scenarios, models, and various indicators of resource allocation in UDN are summarized and analyzed. Secondly, this paper systematically sorts and classifies recent research on resource allocation methods for UDNs, analyzing their applicability, advantages, and disadvantages. Additionally, the paper discusses the future development of spectrum resource allocation methods for UDNs.

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“…For example, in the simple scenario shown below, all users are linked to AP B because each user has the highest Figure 2. Several factors bring about the congregation of users in a specific on a network these may include the availability of electric sockets for charging their devices, the availability of chairs for the users to sit and also the proximity of the access points to sources of entertainment or refreshment such as eateries [20][21][22][23][24][25]. Studying human mobility has become a subject of interest among the large community of researchers in the last decade, primarily because of its effect on so many different theoretical and application research [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of load balancing algorithms on overlappiing wireless accesspoints

Adebiyi

Adeka

Oladeji

et al. 2021

IJEECS

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<span>Wireless networks came into the computing world replacing the costlier and more complex wired method of connecting numerous equipment in the same or different location via the use of cables. It provides the user devices a connection to one another and the greater internet via connections to access points. Generally, 802.11 access point products follow a default strongest signal first approach in selecting user devices or nodes to connect to the access point or overlapping access points. This standard does not make provisions for even distribution of load and hence the quality of service and the throughput in areas of congestion would be reduced. This article brings forward two algorithms used in load balancing and they include round-robin technique and the weighted round-robin technique to be used in the simulation of the distribution of the load amongst the access points with the results collated and compared to clearly show which algorithm is best suited to be used as a standard for access point load distribution.</span>

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Load Balancing in UDN Networks by Migration Mechanism with Respect to the D2D Communications and E2E Delay

Cited by 7 publications

References 12 publications

Offloading the Small Cells for Load Balancing in UDNs Using the Proactive and the User Transfer Algorithms with Reducing the APs Inter-communications

Offloading the Small Cells for Load Balancing in UDNs Using the Proactive and the User Transfer Algorithms with Reducing the APs Inter-communications

Resource allocation trends for ultra dense networks in 5G: a comprehensive survey

Evaluation of load balancing algorithms on overlappiing wireless accesspoints

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