Performance of femtocell access point deployments in user hot-spot scenarios

Taranetz, Martin; Rupp, Markus

doi:10.1109/atnac.2012.6398071

Cited by 21 publications

(10 citation statements)

References 10 publications

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“…This popular approach has a major shortcoming: although the PPP model may be a fitting one for the BS locations, it is less adequate for the UE locations, since it cannot be tuned to represent spatial heterogeneity (non-uniformity). There is still relatively little literature that takes into account the heterogeneous spatial distribution of the traffic demand in wireless cellular networks [7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Measuring the spatial heterogeneity of outdoor users in wireless cellular networks based on open urban maps

Mirahsan

Schoenen

Szyszkowicz

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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Wireless cellular network planning benefits from accurate and realistic, yet relatively simple and manageable, spatial traffic models. User locations in cellular networks are often modeled as homogeneous (uniform) Poisson point processes (PPPs). However, the real user distributions are seldom purely homogeneous. Network users are usually concentrated at social attractors such as residential and office buildings, shopping malls, and bus stations. Wireless spectral efficiency depends significantly on the users' spatial heterogeneity, and thus relevant spatial traffic generators and models are important. In future (5G) networks, for which device-to-device (D2D), millimeterwave (mmWave), and small-cell deployments in Heterogeneous Networks (HetNets), are promising technologies, it will become more important to have spatial traffic models which can represent the broad possibilities from completely homogeneous cases (e.g., a deterministic lattice) to extremely heterogeneous cases (e.g., highly clustered scenarios).In this paper, we study the spatial traffic heterogeneity of outdoor users in the denser areas of the city center of Paris, France. The building shape data is freely available from the OpenStreetMaps project. We measure the heterogeneity via a second-order statistic: the Coefficient of Variation (CoV) of two spatial metrics of the resulting point process: the Voronoi cell areas and the Delaunay cell edge lengths. The expected value of the CoV of these metrics allows us to study how the heterogeneity increases with the density of users. Moreover, we find that the statistical distribution of both these metrics is close to Weibull. Our results illustrate that the topology of the buildings in the city imposes a significant degree of heterogeneity on the spatial distribution of the wireless traffic.

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Section: Introductionmentioning

confidence: 99%

Measuring the spatial heterogeneity of outdoor users in wireless cellular networks based on open urban maps

Mirahsan

Schoenen

Szyszkowicz

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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“…HetNet deployment strategies have been studied extensively [4], [8], [9], [10], [11], [12] under various scenarios and assumptions. Guo et.…”

Section: Introductionmentioning

confidence: 99%

“…in [8] demonstrate via simulations that knowing hotspot clusters help significantly improve the throughput performance. The performance of HetNet under various user distribution is also studied by [12] where the FAPs are shown to perform well when we user clustering is performed for hotspot scenarios.…”

Section: Introductionmentioning

confidence: 99%

On femto-cell deployment strategies for randomly distributed hotspots in cellular networks

Bahçeci

2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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We propose user-aware deployment strategies for femto-cell access points (FAPs) in heterogeneous networks where users' spatial distribution and long-term signal-to-interference plus noise ratios (SINRs) are available to a control centre. Assuming basestations are already deployed, the information on user density and long-term rate coverage is utilized to generate spatial throughput metrics for determining FAP locations. In one approach, regions with the smallest per-user rate coverage are determined as FAP locations where we attempt to find high-user density regions with little coverage from existing infrastructure. In another approach, enhancements from deploying FAPs to candidate locations are predicted based on channel measurements and realistic propagation models. We also investigate step-by-step deployment approaches taking into account the impact of existing FAPs to determine additional FAP locations. Simulations under 3GPP LTE-A heterogeneous network model show that useraware femto-cell deployment strategies can achieve up to 25% 5percentile throughput gain, and 80% aggregate throughput gains.

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“…For example, in the model used in [6], the user density decreases linearly with respect to the distance from the BS up to a certain distance beyond which users are uniformly distributed to the rest of the cell area. In [7], user locations are modeled by a PCP. A parent PP Φ uniformly spreads N c cluster heads over the coverage region of a macrocell, and then users are dropped randomly and uniformly within a certain radius of each cluster head.…”

mentioning

confidence: 99%

The impact of user spatial heterogeneity in heterogeneous cellular networks

Wang

Schoenen

Yanıkömeroğlu

et al. 2014

2014 IEEE Globecom Workshops (GC Wkshps)

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The spatial distribution of users in cellular networks plays an important role on network performance. It is becoming increasingly common in the recent literature to model the user locations according to a homogeneous Poisson point process, yet users are often spatially clustered in reality. In this paper, we investigate the impact of user spatial heterogeneity in downlink cellular networks, including macro-only networks and small-cell enhanced heterogeneous cellular networks (HCNs). In the generic point process introduced in this paper, the degree of user spatial heterogeneity is scalable, smoothly controlled, and is measured by a non-negative real number. Numerical results show that the network performance deteriorates significantly when user distribution becomes more heterogeneous while remaining uncorrelated with the base station locations. However, by deploying small-cells in the centers of the user hot-spots found by cluster analysis on non-uniform user points, we show that HCNs can benefit from a certain degree of user spatial heterogeneity.

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Performance of femtocell access point deployments in user hot-spot scenarios

Cited by 21 publications

References 10 publications

Measuring the spatial heterogeneity of outdoor users in wireless cellular networks based on open urban maps

Measuring the spatial heterogeneity of outdoor users in wireless cellular networks based on open urban maps

On femto-cell deployment strategies for randomly distributed hotspots in cellular networks

The impact of user spatial heterogeneity in heterogeneous cellular networks

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