Show simple item record

AuthorChun Y.J.
AuthorHasna , Mazen
AuthorGhrayeb A.
Available date2022-04-26T11:06:50Z
Publication Date2014
Publication NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/PIMRC.2014.7136251
URIhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84944312248&doi=10.1109%2fPIMRC.2014.7136251&partnerID=40&md5=79711bf196b398aebcbf3ff4b520e455
URIhttp://hdl.handle.net/10576/30492
AbstractFuture mobile networks are converging towards being heterogeneous, owing to the co-existence of multi-tier networks within the same geographical area, including macro, pico- and femto-cells. The deployment of such networks is generally based on user demand, which is irregular and random, implying that the deployment of base stations (BSs) is random as well. As a result, analyzing the communication protocols over heterogeneous networks (HetNets) is very challenging. A popular approach is to use stochastic geometry and treat the location of the BSs as points distributed according to a spatial Point Process. Most of the related work on the interference modeling normally assumes homogeneous Poisson point process (PPP). This assumption holds when the nodes are uniformly distributed in space, such as sensor networks or ad-hoc networks. Due to geographical factors, it may be the case for mobile users to cluster around highly populated cities and the PPP assumption does not provide an accurate model for the interference in these conditions. This motivates us to find better ways to characterize the aggregate interference when the transmitting nodes are clustered following a Poisson Cluster Process (PCP). Furthermore, the BSs belonging to different tiers may differ in terms of the transmit power, the node densities, and their link reliabilities. To this end, we consider K-tier HetNets, where, by using the Laplace transform approach, we characterize the aggregate interference at a given destination as a heavy-tailed distribution. Using the derived distribution, we investigate the probability of outage and coverage for such networks. Due to some difficulty in obtaining closed-form expressions for these measures, we derive tight bounds and verify that through numerical examples. We also compare the performance of HetNets when the nodes are clustered and otherwise. We observe that using the PPP results in larger success probability, but using the clustered process results in a larger coverage probability. We also observe that there is an optimal intensity, i.e., number of nodes, that achieves the maximum coverage probability for the given SINR (signal-to-interference-plus-noise ratio) threshold.
SponsorQatar National Research Fund
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAd hoc networks
Aggregates
Femtocell
Geometry
Heterogeneous networks
Laplace transforms
Mobile telecommunication systems
Outages
Probability
Probability distributions
Radio communication
Sensor networks
Sensor nodes
Signal to noise ratio
Spurious signal noise
Stochastic systems
Telecommunication networks
Telecommunication traffic
Cluster process
Coverage probabilities
Heavy-tailed distribution
Heterogeneous network (HetNets)
Outage probability
Poisson cluster process
Signal to interference plus noise ratio
Stochastic geometry
Signal interference
TitleModeling and analysis of HetNet interference using Poisson Cluster Processes
TypeConference Paper
Pagination681-686
Volume Number2014-June
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record