User-centric intercell interference coordination in small cell networks

Chang Li, Jun Zhang, Khaled Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

Small cell networks provide an effective way to meet the explosive growth of mobile data traffic, which, however, complicates the network structure and makes intercell interference management more challenging. One existing interference management approach is to divide the whole network into disjoint clusters, with base stations (BSs) within each cluster doing interference coordination, but the performance will then be limited by the cluster edge users. In this paper, a novel intercell interference coordination method is proposed from the user's point of view. Each mobile user will request some neighboring BSs for interference avoidance, which is based on the relative distance between the home BS and the interfering BSs, called as the interference coordination (IC) range. In this way, the most critical interfering sources for each user can be suppressed, and thus there will be no edge user. We derive an accurate approximation for the successful transmission probability of a typical user with the proposed interference coordination method, based on which the optimal IC range can be obtained. Simulation results demonstrate a significant performance gain for the proposed method, and also show that it outperforms the existing BS clustering method.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
PublisherIEEE Computer Society
Pages5747-5752
Number of pages6
ISBN (Print)9781479920037
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW
Duration: 10 Jun 201414 Jun 2014

Other

Other2014 1st IEEE International Conference on Communications, ICC 2014
CitySydney, NSW
Period10/6/1414/6/14

Fingerprint

Base stations

Keywords

  • downlink cellular networks
  • Interference coordination
  • Poisson point process

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Li, C., Zhang, J., & Letaief, K. (2014). User-centric intercell interference coordination in small cell networks. In 2014 IEEE International Conference on Communications, ICC 2014 (pp. 5747-5752). [6884238] IEEE Computer Society. https://doi.org/10.1109/ICC.2014.6884238

User-centric intercell interference coordination in small cell networks. / Li, Chang; Zhang, Jun; Letaief, Khaled.

2014 IEEE International Conference on Communications, ICC 2014. IEEE Computer Society, 2014. p. 5747-5752 6884238.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, C, Zhang, J & Letaief, K 2014, User-centric intercell interference coordination in small cell networks. in 2014 IEEE International Conference on Communications, ICC 2014., 6884238, IEEE Computer Society, pp. 5747-5752, 2014 1st IEEE International Conference on Communications, ICC 2014, Sydney, NSW, 10/6/14. https://doi.org/10.1109/ICC.2014.6884238
Li C, Zhang J, Letaief K. User-centric intercell interference coordination in small cell networks. In 2014 IEEE International Conference on Communications, ICC 2014. IEEE Computer Society. 2014. p. 5747-5752. 6884238 https://doi.org/10.1109/ICC.2014.6884238
Li, Chang ; Zhang, Jun ; Letaief, Khaled. / User-centric intercell interference coordination in small cell networks. 2014 IEEE International Conference on Communications, ICC 2014. IEEE Computer Society, 2014. pp. 5747-5752
@inproceedings{f5c0ed940d5943b7bc142512ccef43bb,
title = "User-centric intercell interference coordination in small cell networks",
abstract = "Small cell networks provide an effective way to meet the explosive growth of mobile data traffic, which, however, complicates the network structure and makes intercell interference management more challenging. One existing interference management approach is to divide the whole network into disjoint clusters, with base stations (BSs) within each cluster doing interference coordination, but the performance will then be limited by the cluster edge users. In this paper, a novel intercell interference coordination method is proposed from the user's point of view. Each mobile user will request some neighboring BSs for interference avoidance, which is based on the relative distance between the home BS and the interfering BSs, called as the interference coordination (IC) range. In this way, the most critical interfering sources for each user can be suppressed, and thus there will be no edge user. We derive an accurate approximation for the successful transmission probability of a typical user with the proposed interference coordination method, based on which the optimal IC range can be obtained. Simulation results demonstrate a significant performance gain for the proposed method, and also show that it outperforms the existing BS clustering method.",
keywords = "downlink cellular networks, Interference coordination, Poisson point process",
author = "Chang Li and Jun Zhang and Khaled Letaief",
year = "2014",
doi = "10.1109/ICC.2014.6884238",
language = "English",
isbn = "9781479920037",
pages = "5747--5752",
booktitle = "2014 IEEE International Conference on Communications, ICC 2014",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - User-centric intercell interference coordination in small cell networks

AU - Li, Chang

AU - Zhang, Jun

AU - Letaief, Khaled

PY - 2014

Y1 - 2014

N2 - Small cell networks provide an effective way to meet the explosive growth of mobile data traffic, which, however, complicates the network structure and makes intercell interference management more challenging. One existing interference management approach is to divide the whole network into disjoint clusters, with base stations (BSs) within each cluster doing interference coordination, but the performance will then be limited by the cluster edge users. In this paper, a novel intercell interference coordination method is proposed from the user's point of view. Each mobile user will request some neighboring BSs for interference avoidance, which is based on the relative distance between the home BS and the interfering BSs, called as the interference coordination (IC) range. In this way, the most critical interfering sources for each user can be suppressed, and thus there will be no edge user. We derive an accurate approximation for the successful transmission probability of a typical user with the proposed interference coordination method, based on which the optimal IC range can be obtained. Simulation results demonstrate a significant performance gain for the proposed method, and also show that it outperforms the existing BS clustering method.

AB - Small cell networks provide an effective way to meet the explosive growth of mobile data traffic, which, however, complicates the network structure and makes intercell interference management more challenging. One existing interference management approach is to divide the whole network into disjoint clusters, with base stations (BSs) within each cluster doing interference coordination, but the performance will then be limited by the cluster edge users. In this paper, a novel intercell interference coordination method is proposed from the user's point of view. Each mobile user will request some neighboring BSs for interference avoidance, which is based on the relative distance between the home BS and the interfering BSs, called as the interference coordination (IC) range. In this way, the most critical interfering sources for each user can be suppressed, and thus there will be no edge user. We derive an accurate approximation for the successful transmission probability of a typical user with the proposed interference coordination method, based on which the optimal IC range can be obtained. Simulation results demonstrate a significant performance gain for the proposed method, and also show that it outperforms the existing BS clustering method.

KW - downlink cellular networks

KW - Interference coordination

KW - Poisson point process

UR - http://www.scopus.com/inward/record.url?scp=84906996155&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906996155&partnerID=8YFLogxK

U2 - 10.1109/ICC.2014.6884238

DO - 10.1109/ICC.2014.6884238

M3 - Conference contribution

SN - 9781479920037

SP - 5747

EP - 5752

BT - 2014 IEEE International Conference on Communications, ICC 2014

PB - IEEE Computer Society

ER -