Model of Handover and Traffic Based on Cellular Geometry with Smart Antenna

Zhang, Zufan; Zhang, Jie; Sun, Shaojun

doi:10.1155/2014/646053

Cited by 3 publications

(3 citation statements)

References 6 publications

(5 reference statements)

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“…Relying on the analysis developed in Section 3.3, we show the unconditional probability of HO failure expressed in Equation (15). The r.v.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In , the authors study the impact of antenna beamwidth on the probability density function of the cell dwelling time of UEs in cellular networks equipped with smart antennas, studying also the effect of UE's speed and direction. In , the authors study the HO process for the specific set‐up of a vehicular ad‐hoc network supporting real‐time applications such as video‐streaming, incorporating the speed of the vehicles in an analytical model for vertical HO.…”

Section: Introductionmentioning

confidence: 99%

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A novel geometric handover model for aerial 4G networks with WiFi‐based X2 interface

Fedrizzi

Goratti

Gomez

et al. 2016

Trans. Emerging Tel. Tech.

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Given the temporary nature of radio communications for mission critical scenarios, the existing dedicated public safety network lacks the flexibility of cutting edge technologies to leverage on packet data services. In this context, new challenges arise such as high‐capacity demand and low‐latency flexible backhaul connection for public safety users. In this paper, we consider a scenario in which 4G LTE radio coverage is provisioned by aerial eNodeBs installed on low‐altitude platforms raised in the sky and interconnected through WiFi links. We focus our attention on the critical aspect of theThird Generation Partnership Project handover mechanism studying the handover performance using a X2 interfaces over WiFi links. We develop a novel geometric model of the handover in the context of public safety communications but extensible also to other contexts. Relying on such a model, the handover failure probability is computed taking into account the different handover phases. The coverage area of an aerial eNodeB is studied using a suitable air‐to‐ground propagation model, while the average handover duration is computed taking into account the delay introduced by the WiFi communication dynamics. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Relying on the analysis developed in Section 3.3, we show the unconditional probability of HO failure expressed in Equation (15). The r.v.…”

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel geometric handover model for aerial 4G networks with WiFi‐based X2 interface

Fedrizzi

Goratti

Gomez

et al. 2016

Trans. Emerging Tel. Tech.

View full text Add to dashboard Cite

show abstract

“…In LTE-A system, Orthogonal Frequency . Division Multiple Access (OFDMA) technology divides the frequency band into a group of mutually orthogonal subcarriers, so users can access and share the wireless medium at high data rate [2].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Resource Allocation Scheme Using Cooperative Game for Multimedia Services in LTE Advanced System

Wang

Zhou

Xie³

et al. 2015

Proceedings of the 8th International Conference on Mobile Multimedia Communications

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In LTE Advanced system, it is critical to carry on various types of services for different user applications. Obviously, the system resource requirements are quite different for each individual service. In order to allocate and schedule limited resources reasonably, the cooperative game model is established and studied in our paper; furthermore, a novel scheme with dynamical system resource allocating and scheduling is also proposed, where the corresponding resources for each kind of service can be dynamically allocated according to the current traffic status. Consequently, the priorities of users are determined based on the service attribute and channel status. Results show that the spectral efficiency is enhanced effectively by our proposed scheme; in the mean time, the performances of multimedia services are also improved.

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Performance of Communication Networks Handoff System

Sharadgah¹

2014

IOSRJEN

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Model of Handover and Traffic Based on Cellular Geometry with Smart Antenna

Cited by 3 publications

References 6 publications

A novel geometric handover model for aerial 4G networks with WiFi‐based X2 interface

A novel geometric handover model for aerial 4G networks with WiFi‐based X2 interface

Dynamic Resource Allocation Scheme Using Cooperative Game for Multimedia Services in LTE Advanced System

Performance of Communication Networks Handoff System

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