On the statistics of uplink inter-cell interference with greedy resource allocation

Handle URI:
http://hdl.handle.net/10754/246793
Title:
On the statistics of uplink inter-cell interference with greedy resource allocation
Authors:
Tabassum, Hina; Yilmaz, Ferkan; Dawy, Zaher; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper, we introduce a new methodology to model the uplink inter-cell interference (ICI) in wireless cellular networks. The model takes into account both the effect of channel statistics (i.e., path loss, shadowing, fading) and the resource allocation scheme in the interfering cells. Firstly, we derive a semi-analytical expression for the distribution of the locations of the allocated user in a given cell considering greedy resource allocation with maximum signal-to-noise ratio (SNR) criterion. Based on this, we derive the distribution of the uplink ICI from one neighboring cell. Next, we compute the moment generating function (MGF) of the cumulative ICI observed from all neighboring cells and discuss some examples. Finally, we utilize the derived expressions to evaluate the outage probability in the network. In order to validate the accuracy of the developed semi-analytical expressions, we present comparison results with Monte Carlo simulations. The major benefit of the proposed mechanism is that it helps in estimating the distribution of ICI without the knowledge of instantaneous resource allocations in the neighbor cells. The proposed methodology applies to any shadowing and fading distributions. Moreover, it can be used to evaluate important network performance metrics numerically without the need for time-consuming Monte Carlo simulations. © 2011 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Citation:
Tabassum H, Yilmaz F, Dawy Z, Alouini MS (2011) On the statistics of uplink inter-cell interference with greedy resource allocation. 2011 8th International Symposium on Wireless Communication Systems. doi:10.1109/ISWCS.2011.6125447.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2011 8th International Symposium on Wireless Communication Systems
Conference/Event name:
2011 8th International Symposium on Wireless Communication Systems, ISWCS'11
Issue Date:
3-Oct-2012
DOI:
10.1109/ISWCS.2011.6125447
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6125447
Appears in Collections:
Conference Papers; Communication Theory Lab; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorTabassum, Hinaen
dc.contributor.authorYilmaz, Ferkanen
dc.contributor.authorDawy, Zaheren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2012-10-03T16:59:59Z-
dc.date.available2012-10-03T16:59:59Z-
dc.date.issued2012-10-03en
dc.identifier.citationTabassum H, Yilmaz F, Dawy Z, Alouini MS (2011) On the statistics of uplink inter-cell interference with greedy resource allocation. 2011 8th International Symposium on Wireless Communication Systems. doi:10.1109/ISWCS.2011.6125447.en
dc.identifier.doi10.1109/ISWCS.2011.6125447en
dc.identifier.urihttp://hdl.handle.net/10754/246793en
dc.description.abstractIn this paper, we introduce a new methodology to model the uplink inter-cell interference (ICI) in wireless cellular networks. The model takes into account both the effect of channel statistics (i.e., path loss, shadowing, fading) and the resource allocation scheme in the interfering cells. Firstly, we derive a semi-analytical expression for the distribution of the locations of the allocated user in a given cell considering greedy resource allocation with maximum signal-to-noise ratio (SNR) criterion. Based on this, we derive the distribution of the uplink ICI from one neighboring cell. Next, we compute the moment generating function (MGF) of the cumulative ICI observed from all neighboring cells and discuss some examples. Finally, we utilize the derived expressions to evaluate the outage probability in the network. In order to validate the accuracy of the developed semi-analytical expressions, we present comparison results with Monte Carlo simulations. The major benefit of the proposed mechanism is that it helps in estimating the distribution of ICI without the knowledge of instantaneous resource allocations in the neighbor cells. The proposed methodology applies to any shadowing and fading distributions. Moreover, it can be used to evaluate important network performance metrics numerically without the need for time-consuming Monte Carlo simulations. © 2011 IEEE.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6125447en
dc.titleOn the statistics of uplink inter-cell interference with greedy resource allocationen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2011 8th International Symposium on Wireless Communication Systemsen
dc.conference.date2011-11-06 to 2011-11-09en
dc.conference.name2011 8th International Symposium on Wireless Communication Systems, ISWCS'11en
dc.conference.locationAachen, DEUen
dc.eprint.versionPre-printen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, American University of Beirut (AUB), Beirut, Lebanonen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorTabassum, Hinaen
kaust.authorYilmaz, Ferkanen
kaust.authorAlouini, Mohamed-Slimen
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