Movement direction-based handover scanning for mobile WiMAX

Ben-Mubarak, Mohammed Awadh; Ali, Borhanuddin Mohd; Noordin, Nor Kamariah; Ismail, Alyani; Ng, Chee Kyun

doi:10.1109/apcc.2011.6152904

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…Decision-makers determine these weights based on their subjective judgment or expert opinions. WSM allows decision-makers to explicitly prioritize attributes assigning weights according to their importance, providing a flexible and intuitive approach for HO decision-making [32,33].…”

Section: Wsm Methodsmentioning

confidence: 99%

Performance analysis of weighting methods for handover decision in HetNets

Riaz,

Öztürk,

Aldırmaz Çolak

et al. 2024

Gazi University Journal of Science

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The increasing demand for data, driven by advancements in technology, requires expanding coverage and enhancing network capacity. This expansion presents certain challenges, such as unnecessary Handover (HO) and interference, which can lead to a degradation in Quality of Service (QoS). To provide better QoS, it is vital to precisely model the HO decision-making process with optimal cell selection ensuring service continuity with minimal disruption. This paper investigates the performance of Analytic Hierarchy Process (AHP), Entropy, Standard Deviation (STD), and Weighted Sum Model (WSM) comparatively, while considering attributes such as Reference Signal Received Power (RSRP), Signal-to-Interference-Plus-Noise Ratio (SINR), channel capacity, and cell capacity. Additionally, the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is utilized to rank candidate cells for HO decisions. The performance of the considered weighting methods has been analyzed in a dense Small Cell (SC) Long-Term Evolution-Advanced (LTE-A) Heterogeneous Network (HetNet) environment based on system Key Performance Indicators (KPIs) such as HO Rate (HOR), HO Failure (HOF), Radio Link Failure (RLF), and HO Ping-Pong (HOPP). The evaluations have shown a trade-off between the methods in different KPIs. The findings highlight the importance of the weighting methods on HO decision, considering the significance of the specific KPIs.

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Section: Wsm Methodsmentioning

confidence: 99%

Performance analysis of weighting methods for handover decision in HetNets

Riaz,

Öztürk,

Aldırmaz Çolak

et al. 2024

Gazi University Journal of Science

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“…They are Network Topology Acquisition Phase (NTAP) and the Actual Handover phase (AHOP) [10,12]. The procedures of handover consists of cell reselection through scanning, then taking the decision and initiation of handover, Finally network entry including the synchronization and ranging with the target base station [11]. The hard handover is depicted in the Figure.1.…”

Section: Hard Handovermentioning

confidence: 99%

“…Connection with the old BS is broken before the new connection is established with the new serving base station. In this paper we do a performance evaluation of the basic handover of WiMAX in multi-cell environment with high mobility for Real Time Traffic [11]. The contribution of this paper is to evaluate the performance of hard handover functionality of WiMAX under different conditions and in terms of number of handover performed, throughput, end-to-end delay, jitter, and packets dropped for real time applications.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Mobile WIMAX IEEE 802.16E for Hard Handover

Fahoud¹,

Lobiyal²

2016

IJCNC

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Seamless handover in wireless networks is to guarantee both service continuity and service quality. In WiMAX, providing scalability and quality of service for multimedia services during handover is a main challenge because of high latency and packet loss. In this paper, we created four scenarios using Qualnet 5.2 Network Simulator to analyze the hard handover functionality of WiMAX under different conditions. The scenarios such as Flag with 5 and 10 sec UCD and DCD interval values, Random mobility scenario and DEM scenario using 6 WiMAX Cells have been considered. This study is performed over the real urban area of JNU where we have used JNU map for scenarios 1, 2 and 3 but for scenario 4, the JNU terrain data has been used. Further, each BS of 6 WiMAX cell is connected to four nodes. All nodes of each scenario are fixed except Node 1. Node 1 is moving and performing the handover between the different BSs while sending and receiving real time traffics. Flag mobility model is used in Scenario 1, 2 and 4 to model the movement of the Node 1 while we use random mobility model in sceanrio3. 5 seconds time interval is used for Scenarios 1, 3, and 4 while 10 seconds time interval is used for scenario 2 to study the effect of management messages load on handover. Further, the statistical measures of handover performance of WiMAX in terms of number of handover performed, throughput, end-to-end delay, jitter, and packets dropped are observed and evaluated.

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“…Cell selection is one of the main phases which may affect the user requirements after the handover process. After the Serving Base Station (SBS) advertisement message, MOB_NBR-ADV and the MS handover scanning, the MS will examine the collected PHY information on the neighbour BSs (nBSs) channel conditions to select the Target Base Station (TBS) for the coming handover [4]. The conventional cell selection scheme in Mobile WiMAX is based on signal quality, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…In the pre-handover phase the cell-reselection algorithm is one of the most important steps and this may affect the end-user QoS after the handover. On the other hand, the actual handover phase mainly focuses on handover execution and network re-entry [4]. Most of the published works are on the actual handover phase, about how to execute the scheme with a small number of messages [6][7][8][9][10], while there are only a few researches that focus on cell selection scheme.…”

Section: Introductionmentioning

confidence: 99%