Multi-Tier Network Performance Analysis Using a Shotgun Cellular System

Madhusudhanan, Prasanna; Restrepo, Juan G.; Liu, Youjian; Brown, Timothy X.; Baker, Kenneth R.

doi:10.1109/glocom.2011.6134293

Cited by 32 publications

(37 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While the first two references focus on the case where the fading coefficients are modeled as independent and identically distributed (i.i.d.) random variables with exponential distribution and obtain and derive expressions for the distribution of signal-to-interference ratio (SIR) at the mobile station (MS) in a heterogeneous network, our work in [9] provides semianalytical expressions for the same quantities and holds for arbitrary fading distributions and for all values of SIR.…”

Section: Introductionmentioning

confidence: 99%

“…Towards this goal, [5]- [9] have considered modeling the heterogeneous network as being composed of multiple tiers where the BSs in each tier are deployed according to a homogeneous Poisson point process, independent of the other tiers. While the first two references focus on the case where the fading coefficients are modeled as independent and identically distributed (i.i.d.)…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Heterogeneous cellular network performance analysis under open and closed access

Madhusudhanan

Restrepo

Liu

et al. 2012

2012 IEEE Globecom Workshops

View full text Add to dashboard Cite

We study the downlink signal-to-interference ratio (SIR) in a multi-tier heterogeneous cellular network under the open and closed access schemes. Each tier is characterized by a base-station (BS) arrangement according to a homogeneous Poisson point process with certain density, constant transmission power and random shadow fading factors with arbitrary distribution. The mobile-station (MS) communicates with the BS that has the maximum instantaneous received power among those to which it is allowed access. The chosen BS provides coverage to the MS if the SIR is above a certain threshold determined by the BS's tier. The coverage probability and average rate expressions are derived for the open access scheme for any arbitrary SIR threshold assigned for each tier, and for the closed access scheme when the SIR thresholds are greater than one.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Heterogeneous cellular network performance analysis under open and closed access

Madhusudhanan

Restrepo

Liu

et al. 2012

2012 IEEE Globecom Workshops

View full text Add to dashboard Cite

show abstract

“…However, because the locations of nodes and users are subject to considerable uncertainty, their spatial distribution needs to be modeled via spatial stochastic processes [1]- [3]. Thus many association policies have been studied under different spatial models for singletier (homogeneous) and multi-tier (heterogeneous) networks; see [4]- [15] and references therein. They can be divided into three categories: closest-BS [9]- [12], highest-signal-tointerference-plus-noise ratio (SINR) (equivalently, highestsignal-to-interference ratio (SIR) in interference-limited networks) [4], [13]- [15], and biased association [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

“…Thus many association policies have been studied under different spatial models for singletier (homogeneous) and multi-tier (heterogeneous) networks; see [4]- [15] and references therein. They can be divided into three categories: closest-BS [9]- [12], highest-signal-tointerference-plus-noise ratio (SINR) (equivalently, highestsignal-to-interference ratio (SIR) in interference-limited networks) [4], [13]- [15], and biased association [5]- [7]. These policies mainly consider three metrics for the selection of serving BS: (i) BS-MS distances, (ii) received signal-tointerference-plus-noise ratio (SINR), and (iii) biased-SINR or biased-location.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Base Stations-Mobile Stations Association Policy for Cellular Networks

Herath

Krzymien

Tellambura

2014

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

View full text Add to dashboard Cite

We propose a novel base stations (BSs) -mobile stations (MSs) association policy for cellular networks. In this policy, the BS which provides the highest signal-to-interference ratio (SIR) among those located within a predetermined maximum association distance of the MS is selected as the serving BS. This policy encompasses the conventional highest-SIR association as a special case. Application of the new policy in 2-and 3-dimensional single-tier (homogeneous) and 2-dimensional twotier (heterogeneous) networks is discussed. Coverage probability expressions are derived assuming BSs in each tier are distributed according to an independent homogeneous Poisson point process (PPP). Rayleigh fading and exponential path-loss radio channels are assumed. Analysis is validated by Monte-Carlo simulations. For single-tier networks, two methods are proposed for the selection of the maximum association distance. With such selection, the proposed association policy performs similarly to the highest-SIR association. It is shown that this policy can also be used to manage user offloading to small cells in two-tier heterogeneous networks.

show abstract

Multitier heterogeneous network using stochastic geometry and factorial moment approaches

Fadoul

2019

Int J Communication

View full text Add to dashboard Cite

Summary The rapid growth of small cells is driving cellular network toward randomness and heterogeneity. Usually, cellular networks are modeled by placing each tier (eg, macro, pico, and relay nodes) deterministically on a grid. In such a heterogeneous cellular network, the rational approach to characterize the base stations (BSs), user, and relay locations is by using random spatial models. When calculating the metric performances such as coverage probability, these networks are idealized without consideration of interference. Therefore, interference modeling remains the key issue for the deployment of small cells. This paper developed a single and multitier cellular network model that captures the downlink heterogeneous cellular network with variable parameters such as the target signal‐to‐interference ratio (SIR), transmitted power, and deployment density. In particular, we model scriptK‐tier transmission and compare it with a single‐tier and traditional grid model to obtain tractable coverage probability using stochastic geometry and factorial moment. The obtained results demonstrate the effectiveness and analytical tractability to study the heterogeneous performance.

show abstract

Multi-Tier Network Performance Analysis Using a Shotgun Cellular System

Cited by 32 publications

References 9 publications

Heterogeneous cellular network performance analysis under open and closed access

Heterogeneous cellular network performance analysis under open and closed access

A Novel Base Stations-Mobile Stations Association Policy for Cellular Networks

Multitier heterogeneous network using stochastic geometry and factorial moment approaches

Contact Info

Product

Resources

About