Impact of mobility on call block, call drops and optimal cell size in small cell networks

Ramanath, Sreenath; Kavitha, Veeraruna; Altman, Eitan

doi:10.1109/pimrcw.2010.5670352

Cited by 12 publications

(2 citation statements)

References 4 publications

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“…However, in practice, handoff results in an outage in connection and high signaling overhead, which none of the mentioned references care about. As a result, researchers have recently focused on analyzing the impact of user mobility on call block and call drop probabilities and optimal cell size in picocell networks deployed on a line; see [19], [11], [20].…”

Section: A Related Workmentioning

confidence: 99%

Cell planning for mobility management in heterogeneous cellular networks

Chattopadhyay,

Błaszczyszyn,

Altman

2016

Preprint

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In small cell networks, high mobility of users results in frequent handoff and thus severely restricts the data rate for mobile users. To alleviate this problem, we propose to use heterogeneous, two-tier network structure where static users are served by both macro and micro base stations, whereas the mobile (i.e., moving) users are served only by macro base stations having larger cells; the idea is to prevent frequent data outage for mobile users due to handoff. We use the classical two-tier Poisson network model with different transmit powers (cf [1]), assume independent Poisson process of static users and doubly stochastic Poisson process of mobile users moving at a constant speed along infinite straight lines generated by a Poisson line process. Using stochastic geometry, we calculate the average downlink data rate of the typical static and mobile (i.e., moving) users, the latter accounted for handoff outage periods. We consider also the average throughput of these two types of users defined as their average data rates divided by the mean total number of users co-served by the same base station. We find that if the density of a homogeneous network and/or the speed of mobile users is high, it is advantageous to let the mobile users connect only to some optimal fraction of BSs to reduce the frequency of handoffs during which the connection is not assured. If a heterogeneous structure of the network is allowed, one can further jointly optimize the mean throughput of mobile and static users by appropriately tuning the powers of micro and macro base stations subject to some aggregate power constraint ensuring unchanged mean data rates of static users via the network equivalence property (see [2]).

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Section: A Related Workmentioning

confidence: 99%

Cell planning for mobility management in heterogeneous cellular networks

Chattopadhyay,

Błaszczyszyn,

Altman

2016

Preprint

Self Cite

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“…In [24], the authors derive the handover rate and sojourn time of a UE for the Poisson-voronoi and hexagon cellular topologies. Expressions for call block and drop probabilities in a small cell scenario are derived in [25]. Theoretical analysis for handover performance optimization is done in [26] to quantify the user performance as a function of user mobility parameters.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Handover Failures in Heterogeneous Networks With Fading

Vasudeva

Simsek

Liu

et al. 2017

IEEE Trans. Veh. Technol.

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The handover process is one of the most critical functions in a cellular network, and is in charge of maintaining seamless connectivity of user equipments (UEs) across multiple cells. It is usually based on signal measurements from the neighboring base stations (BSs), and it is adversely affected by the time and frequency selectivity of the radio propagation channel. In this paper, we introduce a new model for analyzing handover performance in heterogeneous networks (HetNets) as a function of vehicular user velocity, cell size, and mobility management parameters. In order to investigate the impact of shadowing and fading on handover performance, we extract relevant statistics obtained from a 3rd Generation Partnership Project (3GPP)compliant HetNet simulator, and subsequently, we integrate these statistics into our analytical model to analyze handover failure probability under fluctuating channel conditions. Computer simulations validate the analytical findings, which show that fading can significantly degrade the handover performance in HetNets with vehicular users.Index Terms-3GPP, Bertrand's paradox, handover, heterogeneous network, long term evolution (LTE), mobility management, radio link failure, time to trigger.

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