Investigation of a New Handover Approach in LTE and WiMAX

Hindia, Mohammad Nour; Reza, Ahmed Wasif; Noordin, Kamarul Ariffin

doi:10.1155/2014/246206

Cited by 8 publications

(8 citation statements)

References 16 publications

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“…A smaller number of handovers are desired for better voice quality. Also with a higher number of handovers, the load on system significantly increases which inevitably results in reduced efficiency of the system [47]. The significant improvement in the handover with respect to simulation time can be understood by the fact that the handover is increased when the system consumes more time to offload the data from one network to another.…”

Section: Performance Analysismentioning

confidence: 99%

Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection

Gachhadar¹,

Qamar²,

Dong³

et al. 2019

JESTR

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The exponential growth of mobile data traffic and a limited number of spectrum resources has been a big challenge for cellular network providers, henceforth traffic offloading has become one of the most critical issues especially in 5G Heterogeneous Networks (HetNets). Further, network selection plays a vital role for traffic offloading in a cellular network to maintain Quality of Service (QoS), increasing offloading efficiency and throughput. In order to efficiently utilize spectral resources, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm is proposed to be used for ranking a candidate network. The proposed algorithm helps in alleviating the spectrum shortage by offloading the data traffic over Wi-Fi network using unlicensed spectrum. In this work, analysis of the performance of the proposed system model through simulation of an analytical framework has been made. The results have been accumulated in terms of cumulative handover, throughput, the extent of equilibrium & offloading efficiency with respect to residence time and the number of Wi-Fi Access Points (AP's). Analysis proves that the proposed algorithm improves the equilibrium extent and throughput as compared to traditional Load balancing (LB) and SDN based LB mechanisms. It also shows that offloading efficiency is highly improved over Wi-Fi density and residence time.

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Section: Performance Analysismentioning

confidence: 99%

Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection

Gachhadar¹,

Qamar²,

Dong³

et al. 2019

JESTR

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“…Also the HO decision is taken depending on wide parameters within single cost function, e.g., battery lifetime, traffic type, cell load, RSS, and speed. The existing approaches integrate a multi-parameter function [4], [2] or use a weighted summation [9], [10]. The use of cost function and the weights related to the cost function enables sophisticated HO decision while signaling overhead need more investigation.…”

Section: The State Of Artmentioning

confidence: 99%

“…But, the draw backs with data-mining techniques are consuming large storage and need fast processors to extract and analyze the long-term mobility history. Also the randomness of MSs leads to low utilization of the resources, because the data not available into the database for the new locations to be visited by users, the information mining systems used in [ 4,8].…”

Section: ) Prediction Based On Data Mining User's Mobility Historymentioning

confidence: 99%

“…The femtocells can be deployed either by the network operator in Mobile Core Network(MCN) or by the users themselves forming a two-tier network. [4] Handover (HO) in the presence of femtocell considered one of the most challenging issues in the next generation of telecommunication networks. Aachieving seamless, mobile access is a major challenge because of large handoff delay incurred scanning for available access points (APs) when a mobile station (MS) switches connection from one AP, or cell, to another.…”

Section: Introductionmentioning

confidence: 99%

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The Enhanced User History Based Prediction In 5G

Safa¹,

Sharifah²

2016

Fourth International Conference on Advances in Computing, Communication and Information Technology CCIT- 2016

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Achieving seamless, mobile access is a major challenge in the next generation networks due to the huge traffic growth for mobile multimedia applications such as VoIP where the end-to-end delay is considerably big. By predicting where the users are moving, the resource allocation can perform prior to the actual handover, thus can reduce delays in resource allocation and finally can reduce the handover latency. This paper is aims to achieve an accurate user history-based by adding Temporal Prediction scheme for similar routes to eliminate the scanning overhead and unnecessary handoffs incurred in next generation networks. This is achieved by considering multiple characteristics of mobile users, and captures short-term and periodic behavior of mobile users to provide accurate next-cell predictions. The result shows 17% improvement in the accuracy compared to essential schemes.

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“…In LTE, each OFDMA traffic channel is solely allocated to one individual, which provides the end-user frequency with a high degree of reliability and flexibility (Zhao et al, 2012). The device efficiency is significantly degraded by the Inter-cell Interference (ICI) dependent on a multi cell LTE OFDMA-related network because of the same frequency reuse and interference by the co-channel (CCI) when more than one radio transmitters use the same frequency (Chung et al, 2014;Elayoubi et al, 2008;Hindia et al, 2014;Mannweiler et al, 2020;Wang et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

LTE Network Analysis in Frequency Reuse Recycling Techniques

Hussain¹,

Suleiman²,

Noordin³

2021

JST

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In recent years, several researchers have embraced fractional frequency (FF) reuse as a strategy for resolving the inter-cell and co-channel interferences of adjacent cells (ICI, CCI) as the number of wireless networks grows. This technique is focused on the cell division of two parts, the inner and the outer, which enables multiple frequency bands to be assigned. The frequency advantages can be completely used in each inner zone, since there is no inter-cell disturbance for consumers in inner regions. According to this effective usage of the frequency spectrum available, FF will reduce the interruption of the channel and improve device efficiency. This manuscript presents a comprehensive study of different mechanisms to select the optimal FF scheme based on the user throughput. The analysis was conducted in order to obtain the optimal internal and external range for the cells as well as the optimal frequency distribution between the areas of the FR, Fractional Frequency Reuse 1 (FFR1) and Fractional Frequency Reuse 2 (FFR2) and evaluating their outputs and their number of users. In detail the overall consumer efficiency through the configured frequency distribution is analyzed. The FFR is a resource allocation technique that can effectively mitigate inter-cell interference (ICI) in LTE based HetNets and it is a promising solution. The proposal also employs high number sectors in a cell, low interference and good frequency reuse. The processes are tested by way of multiple modeling simulations.

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Investigation of a New Handover Approach in LTE and WiMAX

Cited by 8 publications

References 16 publications

Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection

Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection

The Enhanced User History Based Prediction In 5G

LTE Network Analysis in Frequency Reuse Recycling Techniques

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