Fast and reliable target base station selection scheme for Mobile WiMAX handover

Ray, Sayan Kumar; Sirisena, H.; Deka, Devatanu

doi:10.1109/atnac.2012.6398054

Cited by 11 publications

(6 citation statements)

References 7 publications

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“…Generally, the unique characteristic of vehicular network is high mobility. The recent search presented in [5,[7][8][9] have focused on devising mobility aware network selection techniques, where the direction of movement and node residence time are the most influential decision factors. These two factors are generally adopted with combination of resource availability and usage cost to efficiently select proper candidate network for handover.…”

Section: Related Workmentioning

confidence: 99%

“…A location aware network selection technique is proposed in [5], which selects the proper target network based on the estimated residence time under the service area of the selected network. Similarly, the handover scheme in Mobile WiMAX is proposed in [7], where the geographical position of neighboring base station and the direction of mobile terminal are used to determine the short list of potential candidate networks, from which the best candidate is selected based on two criteria, namely, orientation matching and received signal strength. The main weakness with both techniques is that the resource availability is overlooked, which may result in increased handover drop probability.…”

Section: Related Workmentioning

confidence: 99%

“…The main weakness with both techniques is that the resource availability is overlooked, which may result in increased handover drop probability. To overcome this weakness, the study in [8], enhanced the mechanism proposed in [7] by introducing the current load of the target BS as one of decision factors to improve the handover stability. In the same way, the network selection approach in [9], proposed an access index function, where important influential factors are: data rate, direction of movement and the vehicle residence time.…”

Section: Related Workmentioning

confidence: 99%

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A Novel Network Selection Mechanism for Vehicle-to-Infrastructure Communication

Ndashimye

Sarkar

Ray

2016

2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing,

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Abstract-The commercial deployment of 5G networks require heterogeneous multi-tier, multiple radio access technologies (RATs) to support vehicle-to-infrastructure (V2I) communication with diversified services. Vehicles may need to cross a number of heterogeneous networks of various sizes before reaching the destination. Due to high-speed travel, vehicles may quickly move in and out of the network coverage areas while performing handover. Fast and efficient selection of an appropriate underlying network is critical for seamless handover performance. In this paper we propose a novel network selection mechanism for improved handover performance in V2I communication over heterogeneous wireless network. The idea is for vehicles to self-evaluate a candidate list of access points (AP) that are located in the vehicle movement direction and select the best underlying candidate network based on key criteria, like, the distance between target candidate and the trajectory of the vehicle movement as well as the vehicle mobility information. Fuzzy logic inference system is used to decide whether a target candidate is suitable for handover. Experimental results show that for a vehicle moving at 30km/h, an AP of 100m radius should be located at less than 30m from the road, while this distance is limited to 15m when the vehicle speed is 60km/h.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Network Selection Mechanism for Vehicle-to-Infrastructure Communication

Ndashimye

Sarkar

Ray

2016

2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing,

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“…Those NeNBs, whose geolocational orientations with respect to the direction of the UE's motion represent a progressive or forward movement for the UE, are assigned a positive S OM while others get a negative S OM . Details of OM and assigning of S OM can be found in [8].…”

Section: Fast and Reliable Ho Schemementioning

confidence: 99%

“…The scheme proposed in this paper is an extension of our work presented in [8]. In this scheme, the SeNB selects the TeNB for the next HO activity based on the weighted average of scores for each NeNB assigned against three different parameters, namely, the orientation matching (OM) between the geographical position of each NeNB and the UE's broad direction of motion (both with respect to the SeNB), the CL of each NeNB and the RSS-based measurements recorded by the UE from each NeNB.…”

Section: Introductionmentioning

confidence: 98%

LTE-Advanced handover: An orientation matching- based fast and reliable approach

Ray

Sirisena

Deka³

2013

38th Annual IEEE Conference on Local Computer Networks

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We propose a fast and reliable target Evolved Node B (TeNB) selection scheme for Long Term Evolution-Advanced (LTE-A) handover (HO). Selection of the TeNB in LTE-A HO procedure is based on signal strength requirements and thus may not be ideal. Also, during each measurement period the user equipment (UE) needs to perform scanning of multiple neighboring eNB (NeNB) frequencies resulting in delays too large for high speed services. In our scheme, the TeNB is chosen based on three different parameters: the orientation match, the current load (CL) of NeNBs and their received signal strengths (RSS). This selection based on three independent parameters makes it more reliable, enhancing HO performance. Moreover, as a UE only measures the NeNBs shortlisted based on these parameters, the measurement time is also reduced, which leads to a reduction in the overall HO time.

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